ESA Metrics

MERIS User Information View

First Name Last Name Institution Country Registration Date Study Area Primary Application Domain Executive Summary Product
martin montes Rutgers United States 7/15/2013 GLOBAL
Atmosphere
Test Not Provided
Sergio de la Fuente GESEX E.I.R.L. Chile 3/2/2015  
Geodesy
  ANC
VIVEK KUMAR   India 3/2/2015  
Other
  MODL3M_A
Dominic Manchee Home Use United Kingdom 3/2/2015  
Other
  HICOL1B
Nayara Bucair Aveiro University Portugal 10/24/2012 EUROPE
Oceanography
With de goal of research for my master's thesis, which theme is the diferenciation of phitoplankton goups by satellite images, the access of chlorophill images (specially level 2 and 3) is essential. SWFL2_LAC
VIVEK KUMAR   India 3/2/2015  
Other
  MYDL3M_CDOM
Joaquin Trinanes NOAA/AOML United States 6/20/2013 GLOBAL
Oceanography
Compare MERIS Data with other datasets for algorithm improvement MERL1B_RR
Robert Lossing NASA Ocean Biology Processing Group (OBPG) United States 3/2/2015  
Oceanography
  ANC
Maria Laura Zoffoli National Institute for Space Research (INPE) Brazil 3/2/2015  
Oceanography
  MERL1B_FR
Katie Glodzik University of Florida United States 3/2/2015  
Oceanography
  HICOL1B
BUMJUN KIL   United States 3/2/2015  
Oceanography
  HICOL1B
GUSTAVO GUTIERREZ ARMADA NACIONAL Chile 3/2/2015  
Oceanography
  MYDL2_OC
Tim Moore University of New Hampshire United States 1/11/2013 GLOBAL
Oceanography
I will be using Meris data in conjunction with in situ bio-optical data for the development and validation of ocean color algorithms/products for freshwater and marine environments. MERL1B_RR
Aurea Ciotti CEBIMar-USP Brazil 3/2/2015  
Oceanography
  SWFL1A_GAC
Sebastian Thuy Eomap Germany 3/2/2015  
Other
  HICOL1B
John Wilkin Rutgers University United States 3/2/2015  
Oceanography
  HICOL1B
Lianbo Hu University of North Dakota United States 11/26/2012 PACIFIC OCEAN
Oceanography
MERIS RR and FR data have very good quality and coverage in temporal and space. I am planning using MERIS RR data to study the annual change of phytoplankton¿ primary production and their relationship with global warming. I am also interesting in using MERIS FR data to study the water quality in the atolls of South China Sea. HICOL1B
Kateleen Vargas Serrano University of Puerto Rico United States 3/2/2015  
Hydrology
  MERL1B_RR
martin montes Rutgers United States 7/15/2013 GLOBAL
Atmosphere
Test MERL1B_RR
yueqi wang nanjing university China 3/2/2015  
Atmosphere
  SWFL1A_GAC
Lv Pinpin Ocean University of China China 12/27/2012 GLOBAL
Oceanography
We are now conductiong a research concerning hurricane, and Top of Clouds from Meris will provide us really useful information. MERL1B_RR
Emmanuel Devred Takuvik Laboratory Canada 3/2/2015  
Geodesy
  MERL1B_RR
Raphael Kudela University of California Santa Cruz United States 1/4/2013 GLOBAL
Oceanography
I am working on various NASA-funded projects focusing on improving ocean color retrievals of chlorophyll, net primary productivity, and harmful algal bloom (HAB) information. As part of the GEOHAB-IOCCG Working Group on HABs, we are also evaluating the use of ocean color globally for identification and prediction of harmful algal bloom events. HICOL1B
martin montes UQAR-ISMER Canada 1/5/2013 GLOBAL
Other
Remote sensing of SPM in canadian coastal waters MERIS_L1B_RR
angel cornejo   Peru 3/2/2015  
Other
  CZSL1A
Dale Robinson San Francisco State University United States 3/2/2015  
Oceanography
  MERL1B_RR
Maria Laura Zoffoli National Institute for Space Research (INPE) Brazil 3/2/2015  
Oceanography
  MERL2
hossein teimouri university of tehran Iran 3/2/2015  
Other
  MERL1B_RR
Satomi KAKUTA Japan Space Systems Japan 3/2/2015  
Other
  HICOL1B
Bobby Braswell Applied Geosolutions United States 1/8/2013 NORTH/CENTRAL AMERICA
Other
We would like to use MERIS L1b data to study cyanobacteria outbreaks in the Lake Champlain region of the northeastern United States. MERIS_L1B_RR
Igor Ogashawara INPE Brazil 3/2/2015  
Hydrology
  HICOL1B
Sergey Avdontsev VSGI Russian Federation 3/2/2015  
Geodesy
  SWFL2_LAC
Aneesh Lotliker INCOIS India 4/8/2013 INDIAN OCEAN
Other
The data will be utilized for the validation in Indian Waters. Subsequently to understanding the ocean colour trends for science applications HICOL1B
Sam Steven xiamen university China 3/2/2015  
Oceanography
  MERL1B_RR
VIVEK KUMAR   India 3/2/2015  
Other
  MYDL3B_CHL
Mattias Cape Scripps Institution of Oceanography United States 3/2/2015  
Oceanography
  MERL1B_RR
Felipe Madero CONAE Argentina 3/2/2015  
Other
  MERL1B_FR
Ernest Bowman-Cisneros Arizona State University United States 3/2/2015  
Other
  HICOL1B
ABHISHEK KUMAR National Institute of Technology India 3/2/2015  
Oceanography
  Not Provided
Masoud Moradi Asian-Pasific Institute of Technology Malaysia 4/17/2013 INDIAN OCEAN
Oceanography
Analysis of satellite data for CHL-a concentrations in order to process Mesoscale variability in indian ocean regions MERL1B_RR
VIVEK KUMAR   India 3/2/2015  
Other
  OI_SST
Feng Zhang Ohio State University United States 8/23/2012 NORTH/CENTRAL AMERICA
Renewable Resources
Lake Eire HAB study MERL1B_RR
Matthew Whitley MTRI United States 3/2/2015  
Hydrology
  MERL1B_FR
VIVEK KUMAR   India 3/2/2015  
Other
  MYDL3B_SST
Dan Pilone Element 84, LLC United States 9/12/2012 GLOBAL
Atmosphere
Testing authentication. MERIS_L1B_RR
Claudio Barbosa INPE Brazil 3/2/2015  
Hydrology
  HICOL1B
Andrew Kamerosky Florida Atlantic University United States 9/20/2012 NORTH/CENTRAL AMERICA
Oceanography
Water column Chlorophyll a concentration (Chl a) is an indirect measure of the algal biomass in the aquatic system. Chl a measurements have been vital in aquatic environmental assessments as an index for primary productivity and anthropogenically driven algal blooms. The MEdium Resolution Imaging Spectrometer (MERIS) package aboard the ENVISAT provided ideal spectral resolution having visible spectral bands in the far side of red (630-740 nm) other systems do not have at spatial resolutions at both 1.2 km and 300 m. The three goals of this project are: (1) Calibrate and validate Chl a algorithms using MERIS data of the Indian River Lagoon (IRL), FL, (2) Determine the accuracy of the algorithms in estimation of Chl a before, during, and after the 2011 super blooms, (3) Map the 2011 algal bloom by using the most effective algorithm. The chosen algorithms are Moses et al. (2009) (Chl a ¿665nm-1 x 708nm), Dall'Olmo & Gitelson (2006) (Chl a ¿ 665nm-1 x 708nm-1 x 753nm), and the Normalized Difference Chl a Index (NDCI) (Mishra and Mishra 2011) (Chl a¿ (708nm-665nm)/(708nm+665nm)). The IRL provides a vital habitat, nursery, and forage ground for several commercially valuable, environmentally important, and endangered species (such as the Florida manatee Trichechus manatus latirostris). The area surrounding the IRL has undergone rapid development resulting in degradation of the ecology; increased eutrophication events, larger algal blooms, reduction in seagrass populations, and more diseases among vertebrate and invertebrate populations During the summer of 2011, an unprecedented super algal bloom with Chl a levels over 50 mg/m3 lasted for seven months that spanned throughout the entire northern IRL. The normal non-bloom conditions are 3.1 mg/m3 and bloom conditions around 25 mg/m3. Due to the discrete nature of field sampling, the water quality monitoring data are not sufficient to show from where the bloom originated and how quickly it moved through the system. Without this information the St. Johns Water Management District is hindered in determining the causes of the bloom and its impacts on the entire lagoon. The Chl a data monitored by the SJRWMD will be used in validation of the algorithms applied to MERIS data. 34 sampling sites are available with monthly Chl a data since 2003. The 2nd Level MERIS data (300 m¬2 resolution) would be obtained through the European Space Agency¿s (ESA) Earth Observation Link (EOLI). Using ESRI ArcDesktop v10 and the US Geological Survey (USGS) national water resource spatial data and SJWMD IRL Seagrass Maps, masks will be created to remove land and known seagrass beds in order to reduce data variations and chlorophyll signals from seagrass. Using Exelis ENVI v4 spectral math function, the Chl a maps will be generated with the selected algorithms from MERIS data that coincides with the field sampling dates. The author calibrated algorithms will be compared via processed MERIS data. They will be evaluated using regression analysis, calculating mean normalized bias (MNB) and normalized root mean square error (RMSE) in their prediction of Chl a. These statistics will also be compared between bloom and non-bloom conditions to determine what ranges of Chl a and turbidity each algorithm can best predict concentrations of Chl a (0 < Chl a < 100 µg l-1). This project will result in the creation of a protocol for rapid assessment of Chl a in the coastal water bodies in Florida. Chl a maps of the 2011 algal bloom will be generated for the SJRWMD and the IRL research consortium to support the ongoing efforts by groups of regional scientists and managers into the cause of the bloom and improve the lagoon. This project is being funded or otherwise supported by Bethune-Cookman University, the St Johns River Water Management District, the National Science Foundation, Florida Fish and Wildlife Commission, National Aeronautical and Space Administration, and Florida Department of the Environment. MERL1B_FR
FENG CHI Nanjing normal University China 3/2/2015  
Other
  MERL1B_FR
Baeck ShinCheol Unibersity of Chungbuck National Korea South 6/10/2013 ASIA
Land Environment
Chungbuk National University (CBNU) is located in the southwestern part of Cheongju, the capital of Chungbuk Province. The pastoral surroundings promote a pleasant environment to pursue diverse academic degrees. The University is made up of 12 colleges with a total of six schools, 63 departments, and six graduate schools. In addition, there are 29 research institutes that serve as adjunct centers for faculty research activities. Other supporting organizations include the University Libraries, the University Museum, the Center for Research Instruments and Experimental Facilities, the University Computer Center, and numerous other facilities. MERL1B_FR
Daniel Fisher MSSL United Kingdom 3/2/2015  
Atmosphere
  MERL1B_RR
Mehmet Tahir Kavak University of Dicle Turkey 3/2/2015  
Oceanography
  MYDL2_OC
Nick Nidzieko University of Maryland United States 3/2/2015  
Oceanography
  HICOL1B
Ellen Ramirez NOAA United States 3/2/2015  
Other
  HICOL1B
Masoud Moradi Asian-Pasific Institute of Technology Malaysia 4/17/2013 INDIAN OCEAN
Oceanography
Analysis of satellite data for CHL-a concentrations in order to process Mesoscale variability in indian ocean regions MYDL2_OC
Jan Hafner IPRC/SOEST U.of Hawaii United States 3/2/2015  
Atmosphere
  HICOL1B
name last org Ukraine 3/2/2015  
Atmosphere
  MODL2_OC
Daniel Harrison Fugro Australia 3/2/2015  
Oceanography
  HICOL1B
Hua Zhang Chinese Academy of Sciences China 10/31/2012 CHINA
Hydrology
water quality simulation of coastal water SWFL1A_LAC
VIVEK KUMAR   India 3/2/2015  
Other
  OZONE_TOMS
Sanjeevi Shanmugam Department of Geology, Anna University, Chennai - 25 India 3/2/2015  
Land Environment
  HICOL1B
Carlos Araújo Instituto Nacional de Pesquisas Espaciais Brazil 3/2/2015  
Oceanography
  HICOL1B
arun kumar svv indian space research organization India 3/2/2015  
Oceanography
  MYDL2_OC
tran hung HOPE Vietnam 3/2/2015  
Land Environment
  MERL1B_FR
Mike Kuzmic Rudjer Boskovic Institute Croatia 3/2/2015  
Oceanography
  HICOL1B
Lv Pinpin Ocean University of China China 12/27/2012 GLOBAL
Oceanography
We are now conductiong a research concerning hurricane, and Top of Clouds from Meris will provide us really useful information. MERL2
Yonghong Li Xiamen University China 3/2/2015  
Other
  MERL1B_RR
Sam Steven xiamen university China 3/2/2015  
Oceanography
  MERL1B_FR
Khalid Tijani Department of Physics Italy 3/2/2015  
Oceanography
  HICOL1B
Liusheng Han Guangzhou Institute of Geography China 3/2/2015  
Other
  MERL1B_FR
Yongzhen Fan Light and Life Lab United States 3/2/2015  
Oceanography
  MERL1B_RR
Chih-Hua Chang National Cheng Kung University Taiwan 3/2/2015  
Land Environment
  HICOL1B
VIVEK KUMAR   India 3/2/2015  
Other
  MET
Ishan Joshi Louisiana State University United States 3/2/2015  
Other
  SWFL2_GAC
Adam Chlus University of Connecticut United States 3/2/2015  
Land Environment
  HICOL1B
Fedor Kuzminov Rutgers University United States 3/2/2015  
Oceanography
  HICOL1B
she bao Zhejiang University China 3/2/2015  
Land Environment
  MERL1B_RR
Hyokyung Lee The HDF Group United States 3/2/2015  
Other
  HICOL1B
Marcelo Oglietti CONAE Argentina 3/2/2015  
Other
  HICOL1B
arun kumar svv indian space research organization India 3/2/2015  
Oceanography
  MODL2_OC
Sean Bailey NASA - Ocean Biology Processing Group United States 3/2/2015  
Oceanography
  MERL1B_FR
Janice Lee   United States 3/2/2015  
Renewable Resources
  HICOL1B
Jack Pan NASA Jet Propulsion Laboratory United States 3/2/2015  
Oceanography
  MERL1B_RR
Caren Binding Environment Canada Canada 3/2/2015  
Other
  HICOL1B
SERGEY KORLEV   Ukraine 3/2/2015  
Oceanography
  HICOL1B
Cara Wilson NOAA United States 3/2/2015  
Oceanography
  HICOL1B
zhubin zheng NJUU China 3/2/2015  
Hydrology
  MERL1B_FR
Jia Ma Map Speaking, Inc. United States 3/2/2015  
Oceanography
  MERL1B_RR
VIVEK KUMAR   India 3/2/2015  
Other
  MERL3B_PIC
Ishan Joshi Louisiana State University United States 3/2/2015  
Other
  SWFL2_LAC
Andrew Kamerosky Florida Atlantic University United States 9/20/2012 NORTH/CENTRAL AMERICA
Oceanography
Water column Chlorophyll a concentration (Chl a) is an indirect measure of the algal biomass in the aquatic system. Chl a measurements have been vital in aquatic environmental assessments as an index for primary productivity and anthropogenically driven algal blooms. The MEdium Resolution Imaging Spectrometer (MERIS) package aboard the ENVISAT provided ideal spectral resolution having visible spectral bands in the far side of red (630-740 nm) other systems do not have at spatial resolutions at both 1.2 km and 300 m. The three goals of this project are: (1) Calibrate and validate Chl a algorithms using MERIS data of the Indian River Lagoon (IRL), FL, (2) Determine the accuracy of the algorithms in estimation of Chl a before, during, and after the 2011 super blooms, (3) Map the 2011 algal bloom by using the most effective algorithm. The chosen algorithms are Moses et al. (2009) (Chl a ¿665nm-1 x 708nm), Dall'Olmo & Gitelson (2006) (Chl a ¿ 665nm-1 x 708nm-1 x 753nm), and the Normalized Difference Chl a Index (NDCI) (Mishra and Mishra 2011) (Chl a¿ (708nm-665nm)/(708nm+665nm)). The IRL provides a vital habitat, nursery, and forage ground for several commercially valuable, environmentally important, and endangered species (such as the Florida manatee Trichechus manatus latirostris). The area surrounding the IRL has undergone rapid development resulting in degradation of the ecology; increased eutrophication events, larger algal blooms, reduction in seagrass populations, and more diseases among vertebrate and invertebrate populations During the summer of 2011, an unprecedented super algal bloom with Chl a levels over 50 mg/m3 lasted for seven months that spanned throughout the entire northern IRL. The normal non-bloom conditions are 3.1 mg/m3 and bloom conditions around 25 mg/m3. Due to the discrete nature of field sampling, the water quality monitoring data are not sufficient to show from where the bloom originated and how quickly it moved through the system. Without this information the St. Johns Water Management District is hindered in determining the causes of the bloom and its impacts on the entire lagoon. The Chl a data monitored by the SJRWMD will be used in validation of the algorithms applied to MERIS data. 34 sampling sites are available with monthly Chl a data since 2003. The 2nd Level MERIS data (300 m¬2 resolution) would be obtained through the European Space Agency¿s (ESA) Earth Observation Link (EOLI). Using ESRI ArcDesktop v10 and the US Geological Survey (USGS) national water resource spatial data and SJWMD IRL Seagrass Maps, masks will be created to remove land and known seagrass beds in order to reduce data variations and chlorophyll signals from seagrass. Using Exelis ENVI v4 spectral math function, the Chl a maps will be generated with the selected algorithms from MERIS data that coincides with the field sampling dates. The author calibrated algorithms will be compared via processed MERIS data. They will be evaluated using regression analysis, calculating mean normalized bias (MNB) and normalized root mean square error (RMSE) in their prediction of Chl a. These statistics will also be compared between bloom and non-bloom conditions to determine what ranges of Chl a and turbidity each algorithm can best predict concentrations of Chl a (0 < Chl a < 100 µg l-1). This project will result in the creation of a protocol for rapid assessment of Chl a in the coastal water bodies in Florida. Chl a maps of the 2011 algal bloom will be generated for the SJRWMD and the IRL research consortium to support the ongoing efforts by groups of regional scientists and managers into the cause of the bloom and improve the lagoon. This project is being funded or otherwise supported by Bethune-Cookman University, the St Johns River Water Management District, the National Science Foundation, Florida Fish and Wildlife Commission, National Aeronautical and Space Administration, and Florida Department of the Environment. HICOL1B
Zach Raymer Michigan Tech Research Institute United States 8/9/2013 GLOBAL
Oceanography
I would like to use MERIS data to analyze cholorphyll. MERL1B_FR
William Stefanov NASA Johnson Space Center United States 3/2/2015  
Land Environment
  HICOL1B
Erik Fields UCSB United States 3/2/2015  
Oceanography
  SWFL2_LAC
han xing wuhan university China 3/2/2015  
Oceanography
  MERL1B_FR
JS LI   China 3/2/2015  
Atmosphere
  HICOL1B
Khin Lau Institute of Oceanography Nha Trang Vietnam 3/2/2015  
Oceanography
  HICOL1B
Benjamin Vannah University of Central Florida United States 1/24/2013 NORTH/CENTRAL AMERICA
Oceanography
I am currently a graduate student at the University of Central Florida. My area of study involves using surface reflectance data to predict the toxic microcystin concentrations generated by harmful algal blooms each summer on Lake Erie. Meris would provide high resolution spectral data, which would allow me to differentiate between the blue-green cyanobacteria Microcystis and other forms of algae and bacteria. The sensor would also come in useful for applications using predominant bio-optical three band models to characterize common water quality parameters. MERIS_L1B_RR
nagendra jaiganesh ANNA VNIVERSITY,CHENNAI India 3/2/2015  
Geodesy
  Not Provided
shi yan nanjing university China 3/2/2015  
Atmosphere
  SWFL3M_A
Christian Tottrup DHI GRAS Denmark 3/2/2015  
Land Environment
  MERL1B_RR
VIVEK KUMAR   India 3/2/2015  
Other
  MYDL3M_PAR
Zach Raymer Michigan Tech Research Institute United States 8/9/2013 GLOBAL
Oceanography
I would like to use MERIS data to analyze cholorphyll. HICOL1B
Jun Zhao Masdar Institute of Science and Technology United Arab Emirates 8/7/2012 CHINA
Oceanography
data are used for scientific research. SWFL1A_LAC
Hua Zhang Chinese Academy of Sciences China 10/31/2012 CHINA
Hydrology
water quality simulation of coastal water MYDL2_OC
VIVEK KUMAR   India 3/2/2015  
Other
  SWFL1A_GAC
Nayara Bucair Aveiro University Portugal 10/24/2012 EUROPE
Oceanography
With de goal of research for my master's thesis, which theme is the diferenciation of phitoplankton goups by satellite images, the access of chlorophill images (specially level 2 and 3) is essential. SWFL2_GAC
Louis de Montera Meteo France CNRM France 5/28/2013 EUROPE
Other
Development of albedo retrieval algorithms for Sentinel MERL1B_FR
Bobby Braswell Applied Geosolutions United States 1/8/2013 NORTH/CENTRAL AMERICA
Other
We would like to use MERIS L1b data to study cyanobacteria outbreaks in the Lake Champlain region of the northeastern United States. MERL1B_FR
Shuguo Chen Ocean University of China China 8/27/2012 CHINA
Oceanography
I hope to download Meris data to analysis the ocean variability in East china sea MERL1B_FR
Sean Bailey test United States 3/2/2015  
Oceanography
  MERIS_L1B_RR
Juan Torres-Perez Bay Area Environmental Research Institute United States 3/2/2015  
Oceanography
  HICOL1B
Richard Becker University of Toledo United States 1/8/2013 VARIOUS
Hydrology
My research relates to developing algorithms for spectral identification of Harmful Algal Blooms. This has included MODIS and MERIS algorithms developed for work in the Great Lakes. For this, I would like to get access back to the MERIS FR data previously available over the US. In addition I use MERIS data for atmospheric correction in radar interferometry exercises (ESA CAT 1 projects: 4432, 8102). Finally, I use MODIS RR data in the Persian Gulf (ESA project 9557) MERL1B_FR
Ziga Kokalj SPACE-SI Slovenia 1/14/2013 EUROPE
Land Environment
The main objective of the ESA PECS SatDroughtMon (Automatic Recognition of Vegetation Parameters from Satellite Data and Ground Measurements for Drought Monitoring) research project is to develop an automatic system for satellite drought monitoring. This will be done with machine learning for building classification and prediction systems and will be based on satellite data and ground measurements, collected by different authorities in Slovenia (e.g. Slovenian Environment Agency (ARSO) and the Ministry of Agriculture, Forestry and Food (MKGP)). The results of the project will have an impact on drought monitoring and desertification monitoring with a particular applicability in diverse landscapes. Work will be focused on Slovenia, but its implications are much broader and could be transferred to any other region of the world. The eighth Conference of the Parties (COP 8) of the United Nations Convention to Combat Desertification (UNCCD) decided to strengthen the scientific basis underpinning the Convention. It highlights the importance given to the development and implementation of scientifically based and sound methods for monitoring and assessing desertification, and underlines the need for a holistic view. The UNCCD community would benefit from a science networking mechanism so that the large yet dispersed knowledge and expertise worldwide could be more effectively accessed, used and shared. Desertification, Land Degradation and Drought (DLDD) scientists have begun organizing themselves through networks such as DesertNet International and the Global Network of Dryland Research Institutes. The project should also tap the ESA project Desert Watch and could provide support for the initiation of discussion through ¿network ¿ mechanism of Drought Management Center for Southeastern Europe (DMCSEE), which is hosted by Slovenian Environment Agency (ARSO). DMCSEE is connected to other international consortia, which deal with drought monitoring. DMCSEE products are for instance available also through JRC's European Drought Observatory using interoperability principles developed in the scope of the EuroGEOSS project. In the frame of the 2-year project we will establish an extensive database of existing satellite data (mostly provided by ESA, but other sources will be considered as well) supplemented with ground measurements and characteristics, that will serve for analysis of drought conditions in Slovenia in a tentative period from 2003 to 2010, and will provide enough information for building a suitable model for drought monitoring from satellite data and ground measurements. The expected outputs of the project are as follows: 1. database of satellite and ground data with attributes for drought conditions analysis, 2. findings and results of the drought analysis in Slovenia, 3. statistical model that will serve for automatic detection of drought from satellite data only and from combination of satellite and ground data, 4. a prototype system for automatic drought monitoring. MERIS_L1B_RR
Nabin Malakar   United States 3/2/2015  
Geodesy
  SWFL1A_LAC
name last org Ukraine 3/2/2015  
Atmosphere
  MYDL0
VIVEK KUMAR   India 3/2/2015  
Other
  ANC
Michelle Gierach Jet Propulsion Laboratory United States 3/2/2015  
Oceanography
  MERL1B_FR
Brandon Sackmann Integral Consulting Inc. United States 3/2/2015  
Oceanography
  MERL1B_FR
Simone Colella CNR Italy 2/5/2013 EUROPE
Oceanography
The main goal of this proposal is to contribute to the implementation of meris validation activities providing independent validation and experimental data for the Mediterranean Sea. In particular, the team work will be relevant for the L2 Ocean product validation providing support to the calibration activity, and expertise and data for the development of regional algorithms for the Mediterranean Sea. MERL1B_FR
Abigail Ganopol Comision Nacional de Actividades Espaciales (CONAE) Argentina 3/2/2015  
Other
  HICOL1B
Bagher Bayat University of Twente Netherlands 3/2/2015  
Land Environment
  MERL1B_RR
Joseph Fugate University of Toledo United States 3/2/2015  
Other
  MERL1B_FR
Fred Fred Homer France 3/2/2015  
Land Environment
  VIRL1
Michael Cline University of Toledo United States 3/2/2015  
Oceanography
  HICOL1B
zhubin zheng NJUU China 3/2/2015  
Hydrology
  MERL1B_RR
Richard Hansell ESSIC-UMCP/GSFC NASA United States 3/2/2015  
Atmosphere
  HICOL1B
Andrew Sayer NASA GSFC United States 3/2/2015  
Atmosphere
  HICOL1B
Kieran Harper TechWorks Marine Ireland (Republic) 8/29/2012 EUROPE
Oceanography
We are interested in studying the outfall into coastal zones from urban waste water treatment plants and its contribution to eutrophication of these waters. HICOL1B
Wei Li Stevens Inst. of Tech. United States 3/2/2015  
Oceanography
  MERL1B_FR
Karl Szekielda City University of New York Hunter College United States 3/2/2015  
Oceanography
  HICOL1B
VIVEK KUMAR   India 3/2/2015  
Other
  SALINITY-HYCOM
Nayara Bucair Aveiro University Portugal 10/24/2012 EUROPE
Oceanography
With de goal of research for my master's thesis, which theme is the diferenciation of phitoplankton goups by satellite images, the access of chlorophill images (specially level 2 and 3) is essential. MERL2
Mike Kuzmic Rudjer Boskovic Institute Croatia 3/2/2015  
Oceanography
  MERL1B_RR
Duy Nguyen Hanoi University of Mining and Geology Vietnam 7/12/2013 ASIA
Renewable Resources
I like this kind of data MERL1B_FR
Fang Cao University of Georgia United States 3/2/2015  
Oceanography
  HICOL1B
Mehmet Tahir Kavak University of Dicle Turkey 3/2/2015  
Oceanography
  SWFL2_LAC
andrew meredith NOAA United States 3/2/2015  
Oceanography
  MERL1B_FR
shanmugam palanisamy Indian Institute of Technology,Madras India 3/2/2015  
Oceanography
  HICOL1B
Sergey Avdontsev VSGI Russian Federation 3/2/2015  
Geodesy
  SWFL1A_LAC
Carla Caverhill Bedford Institute of Oceanography Canada 3/2/2015  
Oceanography
  MERL1B_FR
Mehmet Tahir Kavak University of Dicle Turkey 3/2/2015  
Oceanography
  MYDL0
Ruth Branch Applied Physics Lab, UW United States 3/2/2015  
Oceanography
  HICOL1B
  China 3/2/2015  
Atmosphere
  HICOL1B
Malcolm Taberner Plymouth Marine Laboratory United Kingdom 3/2/2015  
Oceanography
  MERL1B_FR
Cynthia Evans NASA United States 3/2/2015  
Renewable Resources
  HICOL1B
Abdelatif Hassini USTOMB Algeria 3/24/2013 GLOBAL
Oceanography
I will use MERIS for educational and research area for environnemnt remote sensing and natural hazards. MERL1B_RR
Oleg Vorobyev Pjvolgye State Technical University Russian Federation 11/29/2012 EUROPE
Land Environment
Land classification MERIS_L1B_RR
Ramon Lopez East Carolina University/ JHU Applied Physics Laboratory United States 3/2/2015  
Oceanography
  MERL1B_FR
Gerard Hesselmans HERMESS BV Netherlands 3/2/2015  
Oceanography
  MERL1B_FR
Feng Zhang Ohio State University United States 8/23/2012 NORTH/CENTRAL AMERICA
Renewable Resources
Lake Eire HAB study MERL1B_FR
Bruce Monger Cornell University United States 6/4/2012 GLOBAL
Oceanography
Interested in studying the impact of global ocean eddies on surface chlorophyll and NPP. Also interested in teaching remote sensing methods as part of the Cornell summer remote sensing training course. MERL1B_FR
Salim Alhajri Marine Science and Fisheries Center Oman 3/2/2015  
Oceanography
  HICOL1B
Jun Zhao Masdar Institute of Science and Technology United Arab Emirates 8/7/2012 CHINA
Oceanography
data are used for scientific research. SWFL1A_GAC
Ana Dogliotti Instituto de Astronomía y Física del Espacio (IAFE) Argentina 3/2/2015  
Oceanography
  HICOL1B
Ishan Joshi Louisiana State University United States 3/2/2015  
Other
  HICOL1B
Aline de Matos Valerio INPE Brazil 3/2/2015  
Oceanography
  HICOL1B
Liusheng Han Guangzhou Institute of Geography China 3/2/2015  
Other
  MERL1B_RR
jeremy mondejar CTU Philippines 3/2/2015  
Land Environment
  VIRL1
VIVEK KUMAR   India 3/2/2015  
Other
  AM1ATTNF
Andrew Ross Pennsylvania State University United States 3/2/2015  
Oceanography
  HICOL1B
Ramon Lopez-Rosado Institute for Coastal Science and Policy East Carolina University United States 3/26/2013 GLOBAL
Oceanography
I'm a postdoctoral fellow at JHU Applied Physics Laboratory, working on ocean color remote sensing. My research interest are focused on land-ocean interactions and global organic carbon budgets by using ocean color to analyze transport of organic carbon and primary production by major rivers plumes, and its subsequent impact on the biogeochemical processes occurring at these coastal ocean ecosystems. MERL1B_RR
Brandon Sackmann Integral Consulting Inc. United States 3/2/2015  
Oceanography
  HICOL1B
Douglas MacFarland   United States 3/2/2015  
Land Environment
  HICOL1B
Tim Moore University of New Hampshire United States 1/11/2013 GLOBAL
Oceanography
I will be using Meris data in conjunction with in situ bio-optical data for the development and validation of ocean color algorithms/products for freshwater and marine environments. MERL1B_FR
Mark Lewis Naval Research Laboratory United States 3/2/2015  
Oceanography
  HICOL1B
Andrew Banks Hellenic Centre for Marine Research Greece 3/2/2015  
Land Environment
  MYDL1A
Emily Cira TAMUCC United States 3/2/2015  
Other
  MERL1B_FR
VIVEK KUMAR   India 3/2/2015  
Other
  AM1EPHN0
Maria Laura Zoffoli National Institute for Space Research (INPE) Brazil 3/2/2015  
Oceanography
  MERL1B_RR
Virginia Selz Stanford University United States 3/2/2015  
Oceanography
  MERL2
Frederic MELIN Joint Research Centre Italy 8/23/2012 GLOBAL
Oceanography
Purposes of the data use: analysis of phytoplankton variability in European seas and other selected marine ecosystems validation of primary ocean color products. MERL1B_RR
Christine Lee AAAS/NASA United States 3/2/2015  
Oceanography
  HICOL1B
arun kumar svv indian space research organization India 3/2/2015  
Oceanography
  SWFL2_GAC
Andrew Mitchell NASA ESDIS United States 6/1/2012 GLOBAL
Other
I will use MERIS data in various forms of research related to NASA activities. MERIS_L1B_RR
david doxaran CNRS France 3/2/2015  
Oceanography
  HICOL1B
Darryl Keith US EPA United States 3/2/2015  
Oceanography
  HICOL1B
Jessica Sagona Rutgers University United States 3/2/2015  
Oceanography
  HICOL1B
nagendra jaiganesh ANNA VNIVERSITY,CHENNAI India 3/2/2015  
Geodesy
  MERL1B_RR
Gerard Hesselmans HERMESS BV Netherlands 3/2/2015  
Oceanography
  MERL1B_RR
Marta Ribera Boston University United States 5/30/2012 ATLANTIC OCEAN
Oceanography
Marine ecosystems are heterogeneous in space and in time, as is the distribution of human activities that benefit from these resources. In fact, some of the most vulnerable areas in marine ecosystems are those in which fishing activities spatially and temporally overlap with concentrations of marine organisms from different trophic levels across the water column (i.e. hotspots). As resources for management purposes become scarcer, prioritizing the protection of these hotspots may be warranted. The purpose of this study is twofold: (1) determine the spatial distribution of marine resources across Stellwagen Bank (Gulf of Maine), in particular the areas with strong benthic-pelagic coupling; and (2) analyze the spatial correlation between aggregations of marine species and the distribution of fishing activity. Data used in this study includes high-resolution pictures of the seafloor, remote sensing images and multibeam bathymetry maps. This study will provide an interdisciplinary and spatially explicit approach to enhance the information flow to marine spatial planners. Our results will support their efforts to spatially allocate human activities so as to maintain a resilient and healthy ecosystem in the long-term. MERL1B_FR
xiulin lou Second Institute of Oceanography China 3/2/2015  
Oceanography
  MERL1B_RR
Quinten Vanhellemont MUMM Belgium 5/15/2012 GLOBAL
Oceanography
See ESA Category-1 Proposal C1P.8785 MERL1B_FR
Sharon Oegerle NOAA United States 3/2/2015  
Other
  HICOL1B
Foad Yousef MTU United States 3/2/2015  
Oceanography
  HICOL1B
Caren Binding Environment Canada Canada 3/2/2015  
Other
  MERL1B_FR
Andrew Banks Hellenic Centre for Marine Research Greece 3/2/2015  
Land Environment
  SWFL1A_LAC
Matveev Alexey Space Research Institute Russian Federation 3/2/2015  
Other
  HICOL1B
Gerard Hesselmans BMT ARGOSS Netherlands 5/7/2012 North Sea
Oceanography
a MERIS_L1B_RR
VIVEK KUMAR   India 3/2/2015  
Other
  MERL3B_POC
Richard Gould Naval Research Laboratory United States 3/2/2015  
Oceanography
  HICOL1B
VIVEK KUMAR   India 3/2/2015  
Other
  MERL3B_PAR
martin montes Rutgers United States 7/15/2013 GLOBAL
Atmosphere
Test MERL1B_FR
Aaron Gerace RIT United States 3/2/2015  
Atmosphere
  MERL1B_FR
Robert Lossing NASA Ocean Biology Processing Group (OBPG) United States 3/2/2015  
Oceanography
  HICOL1B
Tim Moore University of New Hampshire United States 1/11/2013 GLOBAL
Oceanography
I will be using Meris data in conjunction with in situ bio-optical data for the development and validation of ocean color algorithms/products for freshwater and marine environments. HICOL1B
VIVEK KUMAR   India 3/2/2015  
Other
  SWFL3M_A
Martin Montes uqar United States 8/6/2013 GLOBAL
Oceanography
oceanographic applications MERL1B_RR
Travis Briggs NOAA United States 1/15/2013 NORTH/CENTRAL AMERICA
Oceanography
I am interested in continuing ongoing research into harmful algal blooms in North America. The FRS MERIS data set is vital to my team's algorithm discovery efforts. MERL1B_FR
Colleen Mouw University of Wisconsin-Madison United States 6/7/2012 VARIOUS
Oceanography
The Wisconsin Department of Natural Resources has funded a pilot project to measure optical variability in inland lakes across the State of Wisconsin in the summer of 2011. The optical data will be used to evaluate/refine/develop algorithms for use with multispectral (MERIS) and hyperspectral (HICO) imagery to retrieve parameters such chlorophyll concentration, absorption of non-algal particles and colored dissolved organic matter. The multispectral and hyperspectral imagery will be compared for potential product suites and accuracy of the respective retrieved parameters. Additionally the subpixel variability of the 300 m multispectral imager will be compared with the 95 m hyperspectral imager to help inform planning of the NASA GEO-CAPE mission. SWFL1A_LAC
Frederic MELIN Joint Research Centre Italy 8/23/2012 GLOBAL
Oceanography
Purposes of the data use: analysis of phytoplankton variability in European seas and other selected marine ecosystems validation of primary ocean color products. MERIS_L1B_RR
Nima Madani The University of Montana United States 3/4/2013 GLOBAL
Land Environment
I am modeling plants phenology and productivity MERL1B_RR
Mark Hall Bureau of Land Management United States 6/19/2013 VARIOUS
Other
This satellite imagery will be used for monitoring land use change in the Western USA. MERL2
Mini Raman Space Applications Centre (ISRO) India 3/2/2015  
Oceanography
  HICOL1B
Lv Pinpin Ocean University of China China 12/27/2012 GLOBAL
Oceanography
We are now conductiong a research concerning hurricane, and Top of Clouds from Meris will provide us really useful information. MERIS_L1B_RR
martin montes UQAR-ISMER Canada 1/5/2013 GLOBAL
Other
Remote sensing of SPM in canadian coastal waters MERL1B_FR
David Blondeau RIEL Australia 3/2/2015  
Oceanography
  HICOL1B
William Farrand Space Science Institute United States 3/2/2015  
Land Environment
  HICOL1B
jeremy mondejar CTU Philippines 3/2/2015  
Land Environment
  MYDL2_OC
Paulo Oliveira IPMA - Instituto Português do Mar e da Atmosfera Portugal 3/2/2015  
Oceanography
  HICOL1B
Marcus Andersson Stockholm University Sweden 3/2/2015  
Land Environment
  HICOL1B
Martin Montes uqar United States 8/6/2013 GLOBAL
Oceanography
oceanographic applications Not Provided
Catherine Molloseau Oregon Episcopal School United States 3/2/2015  
Geodesy
  HICOL1B
yaron michl bar aln Israel 8/7/2013 ASIA
Other
dead sea stuty HICOL1B
VIVEK KUMAR   India 3/2/2015  
Other
  MYDL3M_A
Hua Zhang Chinese Academy of Sciences China 10/31/2012 CHINA
Hydrology
water quality simulation of coastal water MERL1B_FR
Abdelatif Hassini USTOMB Algeria 3/24/2013 GLOBAL
Oceanography
I will use MERIS for educational and research area for environnemnt remote sensing and natural hazards. MYDL1A
tran hung HOPE Vietnam 3/2/2015  
Land Environment
  MERL1B_RR
Fred Fred Homer France 3/2/2015  
Land Environment
  VIRL0
Sean Bailey NASA - Ocean Biology Processing Group United States 3/2/2015  
Oceanography
  MERIS_L1B_RR
Simon Belanger UQAR Canada 3/2/2015  
Other
  MYDL0
VIVEK KUMAR   India 3/2/2015  
Other
  MODL1A
Kazem Rangzan Shahid Chamran University Iran 3/2/2015  
Land Environment
  VIRL2_OC
Maria Laura Zoffoli INPE Brazil 3/2/2015  
Oceanography
  SWFL1A_GAC
Magdalena Smigaj Newcastle University United Kingdom 1/18/2013 EUROPE
Oceanography
Dissertation project MERIS_L1B_RR
Joel McCorkel NASA/GSFC United States 3/2/2015  
Other
  AQRL2
Cai Xiaoqing First Institute of Oceanography, SOA, Qingdao, China China 7/29/2013 CHINA
Other
To disclose the annual (2011-2015) spatio-temporal variation of land use/cover and wetlands along China coast as well as the causes and implications with respect to global change, and to develop new methods to detect submerged macroalgae, river plume by synergistic use of optical, infrared and microwave satellite data. MERL1B_RR
Hiroshi Murakami JAXA Japan 3/2/2015  
Land Environment
  HICOL1B
Stewart Jefferys Dept. of Mines and Petroleum Australia 3/2/2015  
Geodesy
  HICOL1B
Fred Fred Homer France 3/2/2015  
Land Environment
  SWFL1A_IGC
Cedric Fichot Jet Propulsion Laboratory/Caltech United States 3/2/2015  
Other
  HICOL1B
Aaron Gerace RIT United States 3/2/2015  
Atmosphere
  MERIS_L1B_RR
Lars Hansen DHI GRAS Denmark 3/2/2015  
Oceanography
  MERL1B_FR
James Bramich University of Tasmania Australia 3/2/2015  
Oceanography
  HICOL1B
Kazem Rangzan Shahid Chamran University Iran 3/2/2015  
Land Environment
  MYDL2_OC
Ray Sambrotto Columbia University United States 3/2/2015  
Oceanography
  HICOL1B
Mark Hall Bureau of Land Management United States 6/19/2013 VARIOUS
Other
This satellite imagery will be used for monitoring land use change in the Western USA. MERL1B_RR
Clemence Goyens UQAR Canada 3/2/2015  
Sea-Ice
  MERL1B_RR
Sophie Renaut Takuvik Canada 3/2/2015  
Oceanography
  MERL1B_FR
Aneesh Lotliker INCOIS India 4/8/2013 INDIAN OCEAN
Other
The data will be utilized for the validation in Indian Waters. Subsequently to understanding the ocean colour trends for science applications SWFL2_GAC
Scott Baker University of Miami United States 3/2/2015  
Geodesy
  HICOL1B
peter pan SKLEC China 3/2/2015  
Atmosphere
  MERL1B_RR
Jun Zhao Masdar Institute of Science and Technology United Arab Emirates 8/7/2012 CHINA
Oceanography
data are used for scientific research. MERL1B_FR
Gwyn Fireman SAIC-GSO/SDST United States 3/2/2015  
Land Environment
  VIRL1
Jun Zhao Masdar Institute of Science and Technology United Arab Emirates 8/7/2012 CHINA
Oceanography
data are used for scientific research. HICOL1B
David Kilham University of Bristol United Kingdom 3/2/2015  
Oceanography
  MERL1B_FR
Kateleen Vargas Serrano University of Puerto Rico United States 3/2/2015  
Hydrology
  MERL1B_FR
Benjamin Taylor Plymouth Marine Laboratory United Kingdom 3/2/2015  
Other
  HICOL1B
VIVEK KUMAR   India 3/2/2015  
Other
  MYDL3M_SST
VIVEK KUMAR   India 3/2/2015  
Other
  TOAST
dr fab oceandatalab France 3/2/2015  
Oceanography
  HICOL1B
Quinten Vanhellemont MUMM Belgium 5/15/2012 GLOBAL
Oceanography
See ESA Category-1 Proposal C1P.8785 HICOL1B
Christian Tottrup DHI GRAS Denmark 3/2/2015  
Land Environment
  MERL1B_FR
zoe lu Institute of Remote Sensing and Digital Earth China 3/2/2015  
Other
  HICOL1B
pan perter east china normal university China 3/2/2015  
Other
  HICOL1B
braga federica institute of marine sciences - italian national research council Italy 3/2/2015  
Oceanography
  HICOL1B
Ramon Lopez-Rosado Institute for Coastal Science and Policy East Carolina University United States 3/26/2013 GLOBAL
Oceanography
I'm a postdoctoral fellow at JHU Applied Physics Laboratory, working on ocean color remote sensing. My research interest are focused on land-ocean interactions and global organic carbon budgets by using ocean color to analyze transport of organic carbon and primary production by major rivers plumes, and its subsequent impact on the biogeochemical processes occurring at these coastal ocean ecosystems. HICOL1B
Bruce Bowler   United States 3/2/2015  
Other
  HICOL1B
Chang-Uk Hyun University of Alberta Canada 3/2/2015  
Ice
  HICOL1B
Sean Bailey NASA - Ocean Biology Processing Group United States 3/2/2015  
Oceanography
  HICOL1B
Martin Montes uqar United States 8/6/2013 GLOBAL
Oceanography
oceanographic applications MERL2
Yonghong Li Xiamen University China 3/2/2015  
Other
  MERL1B_FR
Quinten Vanhellemont MUMM Belgium 5/15/2012 GLOBAL
Oceanography
See ESA Category-1 Proposal C1P.8785 MERL1B_RR
VIVEK KUMAR   India 3/2/2015  
Other
  MERL2
Hui Feng University of New Hampshire United States 3/2/2015  
Other
  HICOL1B
Aneesh Lotliker INCOIS India 4/8/2013 INDIAN OCEAN
Other
The data will be utilized for the validation in Indian Waters. Subsequently to understanding the ocean colour trends for science applications MERL1B_FR
Adam OConnor Exelis United States 3/2/2015  
Other
  HICOL1B
Paul Martinolich NRL United States 1/7/2013 GLOBAL
Other
Use MERIS data in ocean color studies. MERL1B_RR
Andre Carvalho Labomar Brazil 1/8/2013 SOUTH AMERICA
Oceanography
Our project aims to use satellite remote sensing as an alternative to traditional Chlorophyll-a monitoring programs, as they are expensive an inneficient, to help in the management of water quality of reservoirs at the northeast of Brazil. We plan to correct the atmospheric effects of MERIS data and then compare the tests results with results on high resolution imagery. Later, we plan to test algorithms like OC2 and OC4 on MERIS data to, again, compare the results on comercial high resolution imagery. MERL1B_RR
Hajo Krasemann HZG, Remote Sensing Group Germany 8/6/2013 VARIOUS
Other
We derive optical and biogeochemical properties of sea water from satellite data. This includes light scattering and absorption properties, water transparency, and concentrations of phytoplankton, yellow substances, and suspended matter. The obtained data offer e. g. valuable clues regarding the appearance of algal blooms, whose frequency might alter due to climate change. The development and application of these procedure require extensive and precise measurements of optical properties of sea water as well as radiative transfer simulations for those specific water types. Such models and measurement techniques are developed, improved, and adapted. By now, satellite data are available from several instruments and decades and can be evaluated under the aspects of natural and anthropogenic climate change. Future satellite mission will further enlarge and supplement this data set. HICOL1B
Mati Kahru UCSD United States 3/2/2015  
Oceanography
  HICOL1B
Duy Nguyen Hanoi University of Mining and Geology Vietnam 7/12/2013 ASIA
Renewable Resources
I like this kind of data SWFL1A_GAC
Matthew Whitley MTRI United States 3/2/2015  
Oceanography
  HICOL1B
Chuanmin Hu University of South Florida United States 6/11/2012 GLOBAL
Other
We have a broad interest in using satellite data to study coastal and inland water quality, and MERIS FR data play a critical role as they have the best resolution with optimal band design. MERL1B_RR
Andrew Ton Langley High School United States 3/2/2015  
Oceanography
  MODL0
Yongzhen Fan Light and Life Lab United States 3/2/2015  
Oceanography
  MERL1B_FR
Hua Zhang Chinese Academy of Sciences China 10/31/2012 CHINA
Hydrology
water quality simulation of coastal water SWFL1A_GAC
VIVEK KUMAR   India 3/2/2015  
Other
  SEAICE
Shaojie Sun University of South Florida United States 3/2/2015  
Atmosphere
  MERL1B_FR
patricio lopez   Argentina 3/2/2015  
Other
  HICOL1B
easty lau Zhejiang University China 3/2/2015  
Land Environment
  MERL1B_FR
Tihomir Kostadinov University of Richmond United States 3/2/2015  
Oceanography
  HICOL1B
Ewa Kwiatkowska EUMETSAT Germany 6/15/2012 GLOBAL
Oceanography
I will be using MERIS data for cal/val activities and algorithm development in preparation for Sentinel-3 OLCI mission. I will utilize global and regional datasets, and particularly Level-1 data products. MERL1B_FR
Novi Adi Biophysical Remote Sensing Group, University of Queensland Australia 3/2/2015  
Oceanography
  HICOL1B
VIVEK KUMAR   India 3/2/2015  
Other
  AM1ATTN0
Shilin Tang South China Sea Institute of Oceanology, Chinese Academy Of Sciences China 3/2/2015  
Oceanography
  HICOL1B
Karen Horrocks Sigma Space United States 10/10/2012 GLOBAL
Other
test MERIS_L1B_RR
Kazem Rangzan Shahid Chamran University Iran 3/2/2015  
Land Environment
  VIRL1
name last org Ukraine 3/2/2015  
Atmosphere
  MYDL2_OC
Ciro Manzo I.I.A. (Institute of Atmospheric Pollution Research) CNR (National Research Council of Italy) Research Area of Rome 1 Italy 3/2/2015  
Land Environment
  HICOL1B
nagendra jaiganesh ANNA VNIVERSITY,CHENNAI India 3/2/2015  
Geodesy
  MERL1B_FR
Masoud Moradi Asian-Pasific Institute of Technology Malaysia 4/17/2013 INDIAN OCEAN
Oceanography
Analysis of satellite data for CHL-a concentrations in order to process Mesoscale variability in indian ocean regions MERL1B_FR
Stefan Muckenhuber NERSC Norway 3/2/2015  
Sea-Ice
  MERL1B_FR
VIVEK KUMAR   India 3/2/2015  
Other
  MYDL3M_RRS
Andrew Kamerosky Florida Atlantic University United States 9/20/2012 NORTH/CENTRAL AMERICA
Oceanography
Water column Chlorophyll a concentration (Chl a) is an indirect measure of the algal biomass in the aquatic system. Chl a measurements have been vital in aquatic environmental assessments as an index for primary productivity and anthropogenically driven algal blooms. The MEdium Resolution Imaging Spectrometer (MERIS) package aboard the ENVISAT provided ideal spectral resolution having visible spectral bands in the far side of red (630-740 nm) other systems do not have at spatial resolutions at both 1.2 km and 300 m. The three goals of this project are: (1) Calibrate and validate Chl a algorithms using MERIS data of the Indian River Lagoon (IRL), FL, (2) Determine the accuracy of the algorithms in estimation of Chl a before, during, and after the 2011 super blooms, (3) Map the 2011 algal bloom by using the most effective algorithm. The chosen algorithms are Moses et al. (2009) (Chl a ¿665nm-1 x 708nm), Dall'Olmo & Gitelson (2006) (Chl a ¿ 665nm-1 x 708nm-1 x 753nm), and the Normalized Difference Chl a Index (NDCI) (Mishra and Mishra 2011) (Chl a¿ (708nm-665nm)/(708nm+665nm)). The IRL provides a vital habitat, nursery, and forage ground for several commercially valuable, environmentally important, and endangered species (such as the Florida manatee Trichechus manatus latirostris). The area surrounding the IRL has undergone rapid development resulting in degradation of the ecology; increased eutrophication events, larger algal blooms, reduction in seagrass populations, and more diseases among vertebrate and invertebrate populations During the summer of 2011, an unprecedented super algal bloom with Chl a levels over 50 mg/m3 lasted for seven months that spanned throughout the entire northern IRL. The normal non-bloom conditions are 3.1 mg/m3 and bloom conditions around 25 mg/m3. Due to the discrete nature of field sampling, the water quality monitoring data are not sufficient to show from where the bloom originated and how quickly it moved through the system. Without this information the St. Johns Water Management District is hindered in determining the causes of the bloom and its impacts on the entire lagoon. The Chl a data monitored by the SJRWMD will be used in validation of the algorithms applied to MERIS data. 34 sampling sites are available with monthly Chl a data since 2003. The 2nd Level MERIS data (300 m¬2 resolution) would be obtained through the European Space Agency¿s (ESA) Earth Observation Link (EOLI). Using ESRI ArcDesktop v10 and the US Geological Survey (USGS) national water resource spatial data and SJWMD IRL Seagrass Maps, masks will be created to remove land and known seagrass beds in order to reduce data variations and chlorophyll signals from seagrass. Using Exelis ENVI v4 spectral math function, the Chl a maps will be generated with the selected algorithms from MERIS data that coincides with the field sampling dates. The author calibrated algorithms will be compared via processed MERIS data. They will be evaluated using regression analysis, calculating mean normalized bias (MNB) and normalized root mean square error (RMSE) in their prediction of Chl a. These statistics will also be compared between bloom and non-bloom conditions to determine what ranges of Chl a and turbidity each algorithm can best predict concentrations of Chl a (0 < Chl a < 100 µg l-1). This project will result in the creation of a protocol for rapid assessment of Chl a in the coastal water bodies in Florida. Chl a maps of the 2011 algal bloom will be generated for the SJRWMD and the IRL research consortium to support the ongoing efforts by groups of regional scientists and managers into the cause of the bloom and improve the lagoon. This project is being funded or otherwise supported by Bethune-Cookman University, the St Johns River Water Management District, the National Science Foundation, Florida Fish and Wildlife Commission, National Aeronautical and Space Administration, and Florida Department of the Environment. MERL1B_RR
Gaelle Parard Department of Earth Sciences Sweden 11/13/2012 INTERNAL SEAS
Oceanography
Develop and validate remote sensing based method for estimating pCO2 in the Baltic sea MERL2
Daoxi Zhang University Collge London United Kingdom 3/2/2015  
Oceanography
  MERL1B_FR
Mario Benincasa   Italy 3/2/2015  
Oceanography
  HICOL1B
Emmanuel Devred Takuvik Laboratory Canada 3/2/2015  
Geodesy
  MERL1B_FR
Lv Pinpin Ocean University of China China 12/27/2012 GLOBAL
Oceanography
We are now conductiong a research concerning hurricane, and Top of Clouds from Meris will provide us really useful information. MERL1B_FR
Igor Tomazic University of Liege, Belgium Belgium 3/2/2015  
Oceanography
  MERL1B_FR
Kazem Rangzan Shahid Chamran University Iran 3/2/2015  
Land Environment
  MYDL1A
Yindi Zhao   Canada 3/2/2015  
Land Environment
  HICOL1B
Susanne Craig Dalhousie University Canada 9/10/2013 ATLANTIC OCEAN
Other
MERIS ocean colour data will be used to reveal spatial and temporal patterns in phytoplankton growth, with a particular emphasis on their role in biogeochemical cycles and the evolution of biogenic climate-relevant gases. MERL1B_FR
angel cornejo   Peru 3/2/2015  
Other
  CZSL2
Simone Colella CNR Italy 2/5/2013 EUROPE
Oceanography
The main goal of this proposal is to contribute to the implementation of meris validation activities providing independent validation and experimental data for the Mediterranean Sea. In particular, the team work will be relevant for the L2 Ocean product validation providing support to the calibration activity, and expertise and data for the development of regional algorithms for the Mediterranean Sea. MERIS_L1B_RR
patrick mchaffie depaul university United States 3/2/2015  
Renewable Resources
  HICOL1B
Steven Kuo-Hsin Tseng The Ohio State University United States 1/29/2013 NORTH/CENTRAL AMERICA
Oceanography
1. Using MERIS L1 FRS data to estimate the toxin level of harmful algal bloom (HAB) in Lake Erie. The proxy is to measure the Phycocyanin concentration (PC) from band 620 nm of FRS data in 300 meter resolution. 2. Refining algorithms used to compute Chlorophyll and nutrients concentration for Ohio inland water bodies. MERL1B_FR
Duy Nguyen Hanoi University of Mining and Geology Vietnam 7/12/2013 ASIA
Renewable Resources
I like this kind of data MERL1B_RR
Chuanmin Hu University of South Florida United States 6/11/2012 GLOBAL
Other
We have a broad interest in using satellite data to study coastal and inland water quality, and MERIS FR data play a critical role as they have the best resolution with optimal band design. HICOL1B
arun kumar svv indian space research organization India 3/2/2015  
Oceanography
  MERL2
Sergio de la Fuente GESEX E.I.R.L. Chile 3/2/2015  
Geodesy
  VIRL1
Gerard Hesselmans BMT ARGOSS Netherlands 5/7/2012 North Sea
Oceanography
a MERL1B_RR
she bao Zhejiang University China 3/2/2015  
Land Environment
  MERL2
Maria Vega-Rodriguez University of South Florida United States 3/2/2015  
Oceanography
  HICOL1B
hasan Orek METU-IMS Turkey 3/2/2015  
Oceanography
  MYDL2_OC
Federico Filipponi ISPRA Italy 3/2/2015  
Oceanography
  HICOL1B
Gonzalo Saldias Oregon State University United States 3/2/2015  
Oceanography
  HICOL1B
Andre Carvalho Labomar Brazil 1/8/2013 SOUTH AMERICA
Oceanography
Our project aims to use satellite remote sensing as an alternative to traditional Chlorophyll-a monitoring programs, as they are expensive an inneficient, to help in the management of water quality of reservoirs at the northeast of Brazil. We plan to correct the atmospheric effects of MERIS data and then compare the tests results with results on high resolution imagery. Later, we plan to test algorithms like OC2 and OC4 on MERIS data to, again, compare the results on comercial high resolution imagery. MERL1B_FR
Frederic MELIN Joint Research Centre Italy 8/23/2012 GLOBAL
Oceanography
Purposes of the data use: analysis of phytoplankton variability in European seas and other selected marine ecosystems validation of primary ocean color products. MERL1B_FR
Karen Fisher Favret Université de Montréal Canada 3/2/2015  
Other
  HICOL1B
VIVEK KUMAR   India 3/2/2015  
Other
  PM1EPHND
Baeck ShinCheol Unibersity of Chungbuck National Korea South 6/10/2013 ASIA
Land Environment
Chungbuk National University (CBNU) is located in the southwestern part of Cheongju, the capital of Chungbuk Province. The pastoral surroundings promote a pleasant environment to pursue diverse academic degrees. The University is made up of 12 colleges with a total of six schools, 63 departments, and six graduate schools. In addition, there are 29 research institutes that serve as adjunct centers for faculty research activities. Other supporting organizations include the University Libraries, the University Museum, the Center for Research Instruments and Experimental Facilities, the University Computer Center, and numerous other facilities. MERL1B_RR
Anton Korosov Nansen Environmental and Remote Sensing Center Norway 9/18/2012 GLOBAL
Oceanography
The remote sensing data processed with my algorithms is used for studying physical and biological processes in ocean and large lakes. Inter-annual and seasonal variations of water quality in large lakes (Lake Michigan, Lake Erie, Lake Ladoga) are analyzed with regard to river discharge dynamics, wind and mixing intensity, thermobar phenomenon, water pollution and man induced eutrophication. Timing of spring phytoplankton bloom in the Nordic Seas is investigated using remote sensing data and results from the TOPAZ modeling, forecasting and assimilation system for identification of main driving physical factors and influence on higher trophic levels: zoo-plankton and fish larvae. Fluxes of dissolved organic carbon from large Arctic rivers (Ob, Yenisei, Lena, McKenzie) into the Arctic seas are estimated based on satellite optical data and compared with salinity derived from in situ and modeling data. Phytoplankton succession in the Bay of Biscay is studied on example of diatoms and coccolithophorids dynamics retrieved from remote sensing data. Water quality parameters derived from high resolution MERIS data in the Norwegian fjords are compared with production and biomass of cod and salmon in fish farms for estimation of overall quality of aquaculture site location and assessment of impact on the environment. MERL2
shi yan nanjing university China 3/2/2015  
Atmosphere
  SWFL3M_RRS
Sergiy Fedorov Marine Hydrophysical Institute, Ukraine Ukraine 8/8/2013 EUROPE
Oceanography
Sergiy Fedorov, PhD Scientist, Marine Hydrophysical Institute of Natijnal Academy of Science of Ukraine Remote Sensing department. HICOL1B
Samantha Lavender Pixalytics Ltd United Kingdom 9/7/2013 GLOBAL
Land Environment
This research project focuses on the analysis, development and validation of the product uncertainties that are seen as a pixel-based measure to aid non-specialist users of remote sensing products. The use of NASA delivered MERIS products links into the S3VT activities and an accepted ESA-AO. MERL1B_FR
Adam Bausch Cardno ENTRIX United States 10/31/2012 NORTH/CENTRAL AMERICA
Oceanography
Analysis of remotely-sensed data and optical depth properties in the marine environment MERL1B_FR
Mattias Cape Scripps Institution of Oceanography United States 3/2/2015  
Oceanography
  MERL1B_FR
Clemence Goyens UQAR Canada 3/2/2015  
Sea-Ice
  MERL1B_FR
Jorge Vicent University of Valencia Spain 3/2/2015  
Atmosphere
  HICOL1B
Jun Zhao Masdar Institute of Science and Technology United Arab Emirates 8/7/2012 CHINA
Oceanography
data are used for scientific research. MERL1B_RR
xiulin lou Second Institute of Oceanography China 3/2/2015  
Oceanography
  MERL1B_FR
Fred Kruse Naval Postgraduate School United States 3/2/2015  
Land Environment
  HICOL1B
Kimberly Ryan   United States 3/2/2015  
Other
  HICOL1B
Kathiravan Karthikeyan Anna University India 3/2/2015  
Oceanography
  SWFL2_GAC
mike Sayers MTRI United States 3/2/2015  
Oceanography
  MERL1B_FR
VIVEK KUMAR   India 3/2/2015  
Other
  MERL3B_RRS
Thomas Harris Exelis Visual Information Solutions United States 3/2/2015  
Land Environment
  HICOL1B
VIVEK KUMAR   India 3/2/2015  
Other
  AQRL2
xiulin lou Second Institute of Oceanography China 3/2/2015  
Oceanography
  HICOL1B
angel cornejo   Peru 3/2/2015  
Other
  SWFL1A_LAC
Raphael Kudela University of California Santa Cruz United States 1/4/2013 GLOBAL
Oceanography
I am working on various NASA-funded projects focusing on improving ocean color retrievals of chlorophyll, net primary productivity, and harmful algal bloom (HAB) information. As part of the GEOHAB-IOCCG Working Group on HABs, we are also evaluating the use of ocean color globally for identification and prediction of harmful algal bloom events. MERL1B_RR
Marik Murphy Costal Bay Watch United States 8/29/2013 GLOBAL
Land Environment
I plan to use data to study the costal impacts of run in costal areas. Thanks for the great data! MERL1B_RR
Michelle Gierach   United States 3/2/2015  
Oceanography
  HICOL1B
Bruce Monger Cornell University United States 6/4/2012 GLOBAL
Oceanography
Interested in studying the impact of global ocean eddies on surface chlorophyll and NPP. Also interested in teaching remote sensing methods as part of the Cornell summer remote sensing training course. HICOL1B
Alexey Kucheryaviy Marine Hydrophysical Institute Ukraine 3/2/2015  
Oceanography
  HICOL1B
Andre Carvalho Labomar Brazil 1/8/2013 SOUTH AMERICA
Oceanography
Our project aims to use satellite remote sensing as an alternative to traditional Chlorophyll-a monitoring programs, as they are expensive an inneficient, to help in the management of water quality of reservoirs at the northeast of Brazil. We plan to correct the atmospheric effects of MERIS data and then compare the tests results with results on high resolution imagery. Later, we plan to test algorithms like OC2 and OC4 on MERIS data to, again, compare the results on comercial high resolution imagery. MERIS_L1B_RR
Hongyan Xi   Germany 3/2/2015  
Oceanography
  HICOL1B
Martin Montes uqar United States 8/6/2013 GLOBAL
Oceanography
oceanographic applications MERL1B_FR
Gerard Hesselmans BMT ARGOSS Netherlands 5/7/2012 North Sea
Oceanography
a MERL1B_FR
Feng Zhang Ohio State University United States 6/26/2012 GLOBAL
Other
scientific research on water quality MERL1B_RR
Steven Kuo-Hsin Tseng The Ohio State University United States 1/29/2013 NORTH/CENTRAL AMERICA
Oceanography
1. Using MERIS L1 FRS data to estimate the toxin level of harmful algal bloom (HAB) in Lake Erie. The proxy is to measure the Phycocyanin concentration (PC) from band 620 nm of FRS data in 300 meter resolution. 2. Refining algorithms used to compute Chlorophyll and nutrients concentration for Ohio inland water bodies. MERIS_L1B_RR
Mussie Habte Lgsounds Netherlands 3/2/2015  
Hydrology
  MERL1B_FR
Robert Lossing NASA Ocean Biology Processing Group (OBPG) United States 3/2/2015  
Oceanography
  VIRL1
Gaelle Parard Department of Earth Sciences Sweden 11/13/2012 INTERNAL SEAS
Oceanography
Develop and validate remote sensing based method for estimating pCO2 in the Baltic sea MERL1B_FR
Tyler Gorham The Ohio State University United States 3/2/2015  
Oceanography
  MERL1B_FR
Michelle Gierach Jet Propulsion Laboratory United States 3/2/2015  
Oceanography
  HICOL1B
Josue Aceituno upr United States 11/27/2012 GLOBAL
Other
I'm a undergraduate student in need of this services to complete an undergraduate research of my curriculum in geology. MERIS_L1B_RR
Abdelatif Hassini USTOMB Algeria 3/24/2013 GLOBAL
Oceanography
I will use MERIS for educational and research area for environnemnt remote sensing and natural hazards. MERL2
Caren Binding Environment Canada Canada 3/2/2015  
Other
  MERL1B_RR
Erin Jones University of Southern Mississippi United States 3/2/2015  
Other
  HICOL1B
VIVEK KUMAR   India 3/2/2015  
Other
  MYDL1A
Anton Korosov Nansen Environmental and Remote Sensing Center Norway 9/18/2012 GLOBAL
Oceanography
The remote sensing data processed with my algorithms is used for studying physical and biological processes in ocean and large lakes. Inter-annual and seasonal variations of water quality in large lakes (Lake Michigan, Lake Erie, Lake Ladoga) are analyzed with regard to river discharge dynamics, wind and mixing intensity, thermobar phenomenon, water pollution and man induced eutrophication. Timing of spring phytoplankton bloom in the Nordic Seas is investigated using remote sensing data and results from the TOPAZ modeling, forecasting and assimilation system for identification of main driving physical factors and influence on higher trophic levels: zoo-plankton and fish larvae. Fluxes of dissolved organic carbon from large Arctic rivers (Ob, Yenisei, Lena, McKenzie) into the Arctic seas are estimated based on satellite optical data and compared with salinity derived from in situ and modeling data. Phytoplankton succession in the Bay of Biscay is studied on example of diatoms and coccolithophorids dynamics retrieved from remote sensing data. Water quality parameters derived from high resolution MERIS data in the Norwegian fjords are compared with production and biomass of cod and salmon in fish farms for estimation of overall quality of aquaculture site location and assessment of impact on the environment. MERL1B_RR
Magdalena Smigaj Newcastle University United Kingdom 1/18/2013 EUROPE
Oceanography
Dissertation project MERL1B_FR
Ewa Kwiatkowska EUMETSAT Germany 6/15/2012 GLOBAL
Oceanography
I will be using MERIS data for cal/val activities and algorithm development in preparation for Sentinel-3 OLCI mission. I will utilize global and regional datasets, and particularly Level-1 data products. MERIS_L1B_RR
Nayara Bucair Aveiro University Portugal 10/24/2012 EUROPE
Oceanography
With de goal of research for my master's thesis, which theme is the diferenciation of phitoplankton goups by satellite images, the access of chlorophill images (specially level 2 and 3) is essential. MYDL2_OC
Ziga Kokalj SPACE-SI Slovenia 1/14/2013 EUROPE
Land Environment
The main objective of the ESA PECS SatDroughtMon (Automatic Recognition of Vegetation Parameters from Satellite Data and Ground Measurements for Drought Monitoring) research project is to develop an automatic system for satellite drought monitoring. This will be done with machine learning for building classification and prediction systems and will be based on satellite data and ground measurements, collected by different authorities in Slovenia (e.g. Slovenian Environment Agency (ARSO) and the Ministry of Agriculture, Forestry and Food (MKGP)). The results of the project will have an impact on drought monitoring and desertification monitoring with a particular applicability in diverse landscapes. Work will be focused on Slovenia, but its implications are much broader and could be transferred to any other region of the world. The eighth Conference of the Parties (COP 8) of the United Nations Convention to Combat Desertification (UNCCD) decided to strengthen the scientific basis underpinning the Convention. It highlights the importance given to the development and implementation of scientifically based and sound methods for monitoring and assessing desertification, and underlines the need for a holistic view. The UNCCD community would benefit from a science networking mechanism so that the large yet dispersed knowledge and expertise worldwide could be more effectively accessed, used and shared. Desertification, Land Degradation and Drought (DLDD) scientists have begun organizing themselves through networks such as DesertNet International and the Global Network of Dryland Research Institutes. The project should also tap the ESA project Desert Watch and could provide support for the initiation of discussion through ¿network ¿ mechanism of Drought Management Center for Southeastern Europe (DMCSEE), which is hosted by Slovenian Environment Agency (ARSO). DMCSEE is connected to other international consortia, which deal with drought monitoring. DMCSEE products are for instance available also through JRC's European Drought Observatory using interoperability principles developed in the scope of the EuroGEOSS project. In the frame of the 2-year project we will establish an extensive database of existing satellite data (mostly provided by ESA, but other sources will be considered as well) supplemented with ground measurements and characteristics, that will serve for analysis of drought conditions in Slovenia in a tentative period from 2003 to 2010, and will provide enough information for building a suitable model for drought monitoring from satellite data and ground measurements. The expected outputs of the project are as follows: 1. database of satellite and ground data with attributes for drought conditions analysis, 2. findings and results of the drought analysis in Slovenia, 3. statistical model that will serve for automatic detection of drought from satellite data only and from combination of satellite and ground data, 4. a prototype system for automatic drought monitoring. MERL1B_FR
Abdelatif Hassini USTOMB Algeria 3/24/2013 GLOBAL
Oceanography
I will use MERIS for educational and research area for environnemnt remote sensing and natural hazards. MYDL0
Abdelatif Hassini USTOMB Algeria 3/24/2013 GLOBAL
Oceanography
I will use MERIS for educational and research area for environnemnt remote sensing and natural hazards. MYDL2_OC
Mike Kuzmic Rudjer Boskovic Institute Croatia 3/2/2015  
Oceanography
  MERL1B_FR
Robinson Mugo RCMRD Kenya 3/2/2015  
Oceanography
  HICOL1B
Peng Chen   China 3/2/2015  
Oceanography
  HICOL1B
Feng Zhang Ohio State University United States 6/26/2012 GLOBAL
Other
scientific research on water quality MERL1B_FR
Gerard Hesselmans BMT ARGOSS Netherlands 5/7/2012 North Sea
Oceanography
a SWFL1A_LAC
Cristina Milesi NASA Ames Research Center United States 3/2/2015  
Renewable Resources
  HICOL1B
Silvia Falconi mestessa Italy 7/6/2012 EUROPE
Other
remote estimation of the water quality MERIS_L1B_RR
Jack Pan NASA Jet Propulsion Laboratory United States 3/2/2015  
Oceanography
  MERL1B_FR
Mehmet Tahir Kavak University of Dicle Turkey 3/2/2015  
Oceanography
  MYDL1A
Nayara Bucair Aveiro University Portugal 10/24/2012 EUROPE
Oceanography
With de goal of research for my master's thesis, which theme is the diferenciation of phitoplankton goups by satellite images, the access of chlorophill images (specially level 2 and 3) is essential. SWFL1A_GAC
Bruce Monger Cornell University United States 6/4/2012 GLOBAL
Oceanography
Interested in studying the impact of global ocean eddies on surface chlorophyll and NPP. Also interested in teaching remote sensing methods as part of the Cornell summer remote sensing training course. MERL1B_RR
Paul Martinolich NRL United States 1/7/2013 GLOBAL
Other
Use MERIS data in ocean color studies. MERL1B_FR
Jun Zhao Masdar Institute of Science and Technology United Arab Emirates 8/7/2012 CHINA
Oceanography
data are used for scientific research. VIRL2_OC
Chris Durbin Raytheon United States 9/12/2012 VARIOUS
Other
test MERIS_L1B_RR
Raphael Kudela University of California Santa Cruz United States 1/4/2013 GLOBAL
Oceanography
I am working on various NASA-funded projects focusing on improving ocean color retrievals of chlorophyll, net primary productivity, and harmful algal bloom (HAB) information. As part of the GEOHAB-IOCCG Working Group on HABs, we are also evaluating the use of ocean color globally for identification and prediction of harmful algal bloom events. MERL1B_FR
Samantha Lavender Pixalytics Ltd United Kingdom 9/7/2013 GLOBAL
Land Environment
This research project focuses on the analysis, development and validation of the product uncertainties that are seen as a pixel-based measure to aid non-specialist users of remote sensing products. The use of NASA delivered MERIS products links into the S3VT activities and an accepted ESA-AO. MERL1B_RR
Aurea Ciotti CEBIMar-USP Brazil 3/2/2015  
Oceanography
  SWFL1A_LAC
Bobby Braswell Appled Geosolutions, LLC United States 3/2/2015  
Land Environment
  MERL1B_FR
Marina Locritani   Italy 3/2/2015  
Oceanography
  MERL1B_FR
Curtiss Davis OSU United States 3/2/2015  
Oceanography
  HICOL1B
VIVEK KUMAR   India 3/2/2015  
Other
  SWFL1A_LAC
Emmanuel Carpena N/A United States 3/2/2015  
Other
  HICOL1B
Lihong Su Texas A&M University United States 3/2/2015  
Other
  HICOL1B
Steven Kuo-Hsin Tseng The Ohio State University United States 1/29/2013 NORTH/CENTRAL AMERICA
Oceanography
1. Using MERIS L1 FRS data to estimate the toxin level of harmful algal bloom (HAB) in Lake Erie. The proxy is to measure the Phycocyanin concentration (PC) from band 620 nm of FRS data in 300 meter resolution. 2. Refining algorithms used to compute Chlorophyll and nutrients concentration for Ohio inland water bodies. MERL1B_RR
John Moisan NASA United States 3/2/2015  
Oceanography
  HICOL1B
Michelle Gierach Jet Propulsion Laboratory United States 3/2/2015  
Oceanography
  MERL1B_RR
Antonio Mannino NASA Goddard Space Flight Center United States 3/2/2015  
Oceanography
  HICOL1B
Christine Lee AAAS/NASA United States 3/2/2015  
Oceanography
  MERL1B_FR
Chuanmin Hu University of South Florida United States 6/11/2012 GLOBAL
Other
We have a broad interest in using satellite data to study coastal and inland water quality, and MERIS FR data play a critical role as they have the best resolution with optimal band design. MERL1B_FR
Vidanage Chathurange international water management institute Sri Lanka 3/2/2015  
Other
  MERL1B_RR
Andrew Ton Langley High School United States 3/2/2015  
Oceanography
  MYDL1A
Emmanuel Devred Takuvik Laboratory Canada 3/2/2015  
Geodesy
  HICOL1B
Rodrigo Garcia Remote Sensing and Satellite Research Group, Curtin University Australia 3/2/2015  
Other
  HICOL1B
Amanda Grimm Michigan Tech University United States 3/2/2015  
Other
  MERL1B_FR
VIVEK KUMAR   India 3/2/2015  
Other
  MODL3M_CDOM
Sam Steven Xiamen university China 3/2/2015  
Oceanography
  MERL1B_RR
CHUNG CHANG HSU NTOU Taiwan 12/27/2012 GLOBAL
Other
Scientific papers MERL1B_FR
Padmanava Dash Mississippi State University United States 3/2/2015  
Other
  HICOL1B
Iv��n G��mez Universidad de Costa Rica Costa Rica 3/2/2015  
Other
  MERL1B_RR
mike Sayers MTRI United States 3/2/2015  
Oceanography
  HICOL1B
arun kumar svv indian space research organization India 3/2/2015  
Oceanography
  SWFL2_LAC
Evangelos Sp University of Stirling United Kingdom 3/2/2015  
Geodesy
  HICOL1B
Liusheng Han Guangzhou Institute of Geography China 3/2/2015  
Other
  HICOL1B
Duy Nguyen Hanoi University of Mining and Geology Vietnam 7/12/2013 ASIA
Renewable Resources
I like this kind of data HICOL1B
Abdelatif Hassini USTOMB Algeria 3/24/2013 GLOBAL
Oceanography
I will use MERIS for educational and research area for environnemnt remote sensing and natural hazards. MERL1B_FR
Robinson Mugo RCMRD Kenya 3/2/2015  
Oceanography
  MERL1B_FR
VIVEK KUMAR   India 3/2/2015  
Other
  MERL3B_KD
VIVEK KUMAR   India 3/2/2015  
Other
  MYDL2_OC
Felipe Madero CONAE Argentina 3/2/2015  
Other
  HICOL1B
Rebecca Trinh JPL United States 3/2/2015  
Oceanography
  MERL1B_RR
Samantha Lavender Pixalytics Ltd United Kingdom 9/7/2013 GLOBAL
Land Environment
This research project focuses on the analysis, development and validation of the product uncertainties that are seen as a pixel-based measure to aid non-specialist users of remote sensing products. The use of NASA delivered MERIS products links into the S3VT activities and an accepted ESA-AO. HICOL1B
Charles Forsyth Arete Associates United States 3/2/2015  
Oceanography
  HICOL1B
Kevin Murphy   United States 3/2/2015  
Other
  MERIS_L1B_RR
Ramon Lopez-Rosado Institute for Coastal Science and Policy East Carolina University United States 3/26/2013 GLOBAL
Oceanography
I'm a postdoctoral fellow at JHU Applied Physics Laboratory, working on ocean color remote sensing. My research interest are focused on land-ocean interactions and global organic carbon budgets by using ocean color to analyze transport of organic carbon and primary production by major rivers plumes, and its subsequent impact on the biogeochemical processes occurring at these coastal ocean ecosystems. MERL1B_FR
Anton Korosov Nansen Environmental and Remote Sensing Center Norway 9/18/2012 GLOBAL
Oceanography
The remote sensing data processed with my algorithms is used for studying physical and biological processes in ocean and large lakes. Inter-annual and seasonal variations of water quality in large lakes (Lake Michigan, Lake Erie, Lake Ladoga) are analyzed with regard to river discharge dynamics, wind and mixing intensity, thermobar phenomenon, water pollution and man induced eutrophication. Timing of spring phytoplankton bloom in the Nordic Seas is investigated using remote sensing data and results from the TOPAZ modeling, forecasting and assimilation system for identification of main driving physical factors and influence on higher trophic levels: zoo-plankton and fish larvae. Fluxes of dissolved organic carbon from large Arctic rivers (Ob, Yenisei, Lena, McKenzie) into the Arctic seas are estimated based on satellite optical data and compared with salinity derived from in situ and modeling data. Phytoplankton succession in the Bay of Biscay is studied on example of diatoms and coccolithophorids dynamics retrieved from remote sensing data. Water quality parameters derived from high resolution MERIS data in the Norwegian fjords are compared with production and biomass of cod and salmon in fish farms for estimation of overall quality of aquaculture site location and assessment of impact on the environment. MERL1B_FR
Hongtao Duan Neigae CAS China 3/2/2015  
Sea-Ice
  HICOL1B
Zhongping Lee University of Massachusetts Boston United States 3/2/2015  
Oceanography
  HICOL1B
dr fab oceandatalab France 3/2/2015  
Oceanography
  MERL1B_FR
martin montes Rutgers United States 7/15/2013 GLOBAL
Atmosphere
Test MERL2
Fred Fred Homer France 3/2/2015  
Land Environment
  VIRL2_OC
VIVEK KUMAR   India 3/2/2015  
Other
  PM1ATTNR
Vanessa Tobias   United States 3/2/2015  
Oceanography
  HICOL1B
Adam Bausch Cardno ENTRIX United States 10/31/2012 NORTH/CENTRAL AMERICA
Oceanography
Analysis of remotely-sensed data and optical depth properties in the marine environment MERL2
Austin Hudson Portland State University United States 3/2/2015  
Oceanography
  HICOL1B
Nathan Torbick AGS United States 1/9/2013 NORTH/CENTRAL AMERICA
Hydrology
Toxins produced from cyanobacteria are potentially triggers for neurological disorders such as Amyotrophic Lateral Sclerosis (ALS) and Parkinson¿s. In addition, these toxins (e.g., Beta-Methylamino L-Alanine / BMAA) have been linked to several acute illnesses. A primary obstacle in advancing our understanding of linkages between cyanobacteria blooms, toxicity, and human health is water quality information on the presence, extent, magnitude, and intensity harmful algal blooms, biochemical attributes, and lake status. Assessment and monitoring of our waterbodies remains an obstacle as state and federal agencies do not have the ability for comprehensive monitoring due to costs, time, and logistical constraints. We seek to evaluate remote sensing (ie, MERIS) tools for mapping water quality to explore linkages with human health hazard outcomes in strategic locations including the northeast USA with CDC and NIH. We will develop multiscale lake metrics of water quality to examine spatial relationships with ALS hot spots in the northeast USA. MERIS_L1B_RR
William Rhea Naval Research Laboratory United States 3/2/2015  
Oceanography
  HICOL1B
Paul Martinolich NRL United States 1/7/2013 GLOBAL
Other
Use MERIS data in ocean color studies. HICOL1B
Richard Olsen Naval Postgraduate School United States 3/2/2015  
Geodesy
  HICOL1B
Fernando Gilbes UPRM United States 3/2/2015  
Oceanography
  MERL1B_FR
VIVEK KUMAR   India 3/2/2015  
Other
  MERL3B_CHL
Vincent Nouchi   Switzerland 3/2/2015  
Other
  HICOL1B
Jack Pan NASA Jet Propulsion Laboratory United States 3/2/2015  
Oceanography
  HICOL1B
hasan ss ITU Turkey 3/2/2015  
Other
  MERL1B_RR

Page Last Updated: May 2, 2019 at 10:33 AM EDT