B098
Satellite Land Surface Product at Medium, High and Very-High Resolution: Algorithms, Validation and Applications

Session ID#: 78678

Session Description:
We solicit papers on the inversion and use of land products from very high, high and medium spatial resolution. 

For the last years, medium, high and very high resolutions became a useful and a powerful toll for Earth studies. Topics of interest mainly include (not limited to):

- New developments for data processing, including atmospheric correction and cloud screening,

- Analysis and correction of directional effects in land surface reflectances,

- Use of time series of surface reflectances for land monitoring, including land cover classification and crop yield prediction (including data integration and harmonization),

- Development and use of new vegetation indices (i.e. red edge) and other products for agriculture applications,

- Theoretical studies for sensors capabilities enhancements to future sensors at high/medium resolutions.

Index Terms:

0402 Agricultural systems [BIOGEOSCIENCES]
0426 Biosphere/atmosphere interactions [BIOGEOSCIENCES]
0430 Computational methods and data processing [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]

Primary Convener:  Jean-Claude Roger, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States
Conveners:  François-Marie Bréon, LSCE Laboratoire des Sciences du Climat et de l'Environnement / CEA, Gif-Sur-Yvette Cedex, France and Ferran Gascon, European Space Agency, ESA/ESRIN, Frascati, Italy
Primary Liaison:  Jean-Claude Roger, University of Maryland College Park, College Park, MD, United States
 
Copernicus Global Land Cover Service – Elastic, Operational Land Cover Mapping at Global Scale using Time Series Analysis (490664)
Marcel Buchhorn1, Myroslava Lesiv2, Nandin-Erdene Tsendbazar3, Bruno Smets1, Luc Bertels1, Ruben Van De Kerchove4, Martin Herold5, Dainius Masiliunas6 and Steffen Fritz2, (1)VITO, Mol, Belgium, (2)IIASA International Institute for Applied Systems Analysis, Laxenburg, Austria, (3)Wageningen University, Wageningen, Netherlands, (4)VITO, Unit Remote Sensing and Earth Observation Processes, Mol, Belgium, (5)Wageningen University and Research Center, Laboratory of Geo-Information Science and Remote Sensing, Wageningen, Netherlands, (6)Wageningen University and Research Center, Wageningen, Netherlands
 
Validation of high spatial resolution surface reflectance using a camera system (CAMSIS) (490981)
Eric Vermote1, Joel McCorkel2, William H Rountree III3, Andrés Eduardo Santamaría-Artigas4, Sergii Skakun5, Belen Franch1 and Jean-Claude Roger6, (1)NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, (2)NASA, Greenbelt, MD, United States, (3)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (4)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (5)University of Maryland College Park, College Park, United States, (6)University of Maryland College Park, College Park, MD, United States
 
Atmospheric Correction Inter-Comparison Exercise II (Invited) (497930)
Eric Vermote, NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, Georgia Doxani, Serco for European Space Agency, Frascati, Italy, Jean-Claude Roger, University of Maryland College Park, College Park, MD, United States, Ferran Gascon, European Space Agency, ESA/ESRIN, Frascati, Italy and Sergii Skakun, University of Maryland College Park, College Park, United States
 
Landsat-based Leaf Area Index Estimation for the Contiguous US using Google Earth Engine (503583)
Yanghui Kang1, Mutlu Ozdogan2, Martha Anderson3, Feng Gao4, Yun Yang5 and Yang Yang5, (1)University of Wisconsin Madison, Madison, WI, United States, (2)University of Wisconsin Madison, Center for Sustainability and the Global Environment, Madison, WI, United States, (3)USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States, (4)USDA-Agricultural Research Service Beltsville, Hydrology and Remote Sensing, Beltsville, MD, United States, (5)USDA Beltsville Agricultural Research Center, Hydrology and Remote Sensing Laboratory, Beltsville, MD, United States
 
AVHRR LTDR product cloud and snow mask (506427)
Jose Luis Villaescusa1, Belen Franch2, Jean-Claude Roger1, Eric Vermote2 and Sergii Skakun3, (1)University of Maryland College Park, College Park, MD, United States, (2)NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, (3)University of Maryland College Park, College Park, United States
 
Agricultural monitoring from combined optical and SAR data (506627)
Andrés Eduardo Santamaría-Artigas1,2, Sergii Skakun1,2, Belen Franch1,2, Jean-Claude Roger1,2 and Eric Vermote2, (1)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (2)NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States
 
Generation of Spatially Complete and Temporally Continuous Land Surface Temperatures of High Spatial Resolution (510823)
La Yan, Di Long, Liangliang Bai and Caijin Zhang, Tsinghua University, Department of Hydraulic Engineering, Beijing, China
 
Google street view & deep learning: a new approach for ground truthing in crop mapping (514408)
Yulin Yan, Seoul National University, Seoul, Korea, Republic of (South) and Youngryel Ryu, Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, South Korea
 
An algorithm for medium resolution sensors' BRDF correction (515492)
Belen Franch1, Eric Vermote2, Sergii Skakun3, Jean-Claude Roger4, Andrés Eduardo Santamaría-Artigas1, Jose Luis Villaescusa4, Jeffrey G Masek5 and Junchang Ju6, (1)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (2)NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, (3)University of Maryland College Park, College Park, United States, (4)University of Maryland College Park, College Park, MD, United States, (5)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (6)University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, United States
 
Harmonizing Landsat 8 and Sentinel-2: A Pixel-based Reflectance Adjustment Approach (517175)
Rong Shang, University of Connecticut, Storrs, CT, United States and Zhe Zhu, University of Connecticut, Department of Natural Resources and the Environment, Storrs, CT, United States
 
What is Cirrus Cloud and How to Detect It in Landsat 8 Imagery? (518558)
Shi Qiu1, Zhe Zhu1 and Curtis E Woodcock2, (1)University of Connecticut, Department of Natural Resources and the Environment, Storrs, CT, United States, (2)Boston University, Earth and Environment, Boston, MA, United States
 
AEROSOL MODELS FOR ATMOSPHERIC CORRECTIONS OVER LAND (523526)
Jean-Claude Roger, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, Eric Vermote, NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, Sergii Skakun, University of Maryland College Park, College Park, United States, Belen Franch, University of Valencia, Valencia, Spain, Oleg Dubovik, Laboratoire d'Optique Atmosphérique, CNRS/University of Lille, Lille, France, Brent Holben, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Natacha Kalecinski, University of Maryland, College Park, United States and Christopher Owen Justice, University of Maryland, Geographical Sciences, College Park, MD, United States
 
Analysis of corn and soybean yield variability at field scale using VHR satellite data (526617)
Sergii Skakun, University of Maryland College Park, Department of Geographical Sciences, College Park, United States, Jean-Claude Roger, University of Maryland College Park, College Park, MD, United States and Eric Vermote, NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States
 
Red-Edge Band Vegetation Indices for Leaf Area Index Estimation from Sentinel-2/MSI Imagery (526742)
Yuanheng Sun, Huazhong Ren, Qiming Qin, Tianyuan Zhang and Shanshan Chen, Peking University, Beijing, China
 
Transition from MODIS to VIIRS in vegetation monitoring applications (537175)
Trenton Benedict, KBR, Contractor to USGS EROS, Sioux Falls, SD, United States, Jesslyn F Brown, USGS/EROS, Sioux Falls, SD, United States and Danny Howard, KBR, contractor to USGS EROS, Sioux Falls, United States
 
35-years of Land Surface Albedo and 15-years of Down-Welling Short-Wave Radiation retrievals from Earth Observations in the framework of two European space programs (537851)
Dominique Carrer1, Florian Pinault1, Iskander Benhadj2, Xavier Ceamanos1, Sandra Coelho3, Gabriel Lellouch1, Catherine Meurey1, Suman Moparthy1, Mickael Parde1, Else Swinnen2, Chloé Vincent1 and Isabel Franco Trigo3, (1)CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France, (2)VITO, Mol, Belgium, (3)Instituto Português do Mar e da Atmosfera, Lisbon, Portugal
 
Validation of a 30 m combined Landsat 8 and Sentinel 2A/B burned area product using high resolution PLANET Dove-Classic and Dove-R constellation data (539707)
Haiyan Huang, Michigan State University, Center for global change and earth observations, East Lansing, MI, United States, David Roy, Michigan State University, Department of Geography, Environment, & Spatial Sciences, and the Center for Global Change and Earth Observations, East Lansing, MI, United States and Luigi Boschetti, University of Idaho, Department of Forest, Rangeland and Fire Sciences, Moscow, ID, United States
 
Validation of NOAA JPSS Vegetation Index Products for a Zero Vegetation Condition (Invited) (562480)
Tomoaki Miura, Univ Hawaii, Honolulu, HI, United States, Charlotte Smith, University of Hawaii at Manoa, Honolulu, United States and Yunyue Yu, NOAA, STAR, College Park, MD, United States
 
Integrating DHP Based Field LAI Measurement with MODIS Reflectance Data for Finer LAI Estimates - A Study from an Indian Mangrove Forest Site (570995)
Somnath Paramanik, Kharagpur, West Bengal, India and Mukund dev Behera, Indian Institute of Technology Kharagpur, Kharagpur, India
 
Land Cover Mapping in China with Fully Connected Networks and Training Data Automatic Selection (581695)
Lianzhi Huo, Wei Zhang, Changmiao Hu, Li Jia, Lijun Zhao and Ping Tang, Aerospace Research Information Institute, Chinese Academy of Sciences, Beijing, China
 
Operational cheatgrass mapping using Landsat and Sentinel-2 data in harmony (585820)
Neal J. Pastick1, Devendra Dahal2, Bruce K Wylie3, Parajuli Sujan2, Stephen Boyte4 and Zhuoting Wu5, (1)KBR, contractor to the USGS Earth Resources Observation Science Center, Sioux Falls, SD, United States, (2)KBR, contractor to U.S. Geological Survey Earth Resources Observation Science Center, Sioux Falls, SD, United States, (3)USGS EROS, Sioux Falls, SD, United States, (4)KBR, contractor to U.S. Geological Survey Earth Resources Observation Science Center, Sioux Falls, United States, (5)Western Geographic Science Center, Menlo Park, CA, United States
 
Deriving a More Detailed Vegetation Classification from NALCMS for Anchorage, Alaska (599004)
Monika P Calef, Soka University of America, Aliso Viejo, CA, United States, Jennifer Schmidt, University of Alaska Anchorage, Anchorage, AK, United States and Anna Varvak, Soka University, Aliso Viejo, CA, United States
 
An Algorithm to downscale MODIS Satellite 1-km Daytime Active Fire Detections (600017)
Sanath Sathyachandran Kumar, ASRC Federal Data Solutions, Contractor to the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD, United States, Joshua J Picotte, ASRC Federal Data Solutions, Contractor to the USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD, United States and Birgit Peterson, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Sioux Falls, SD, United States
 
Global validation of the NASA MODIS and VIIRS burned area products (603582)
Luigi Boschetti, University of Idaho, Department of Forest, Rangeland and Fire Sciences, Moscow, ID, United States, David Roy, Michigan State University, Department of Geography, Environment, & Spatial Sciences, and the Center for Global Change and Earth Observations, East Lansing, MI, United States, Louis Giglio, University of Maryland College Park, Geographical Sciences, College Park, MD, United States, Haiyan Huang, South Dakota State University, Brookings, SD, United States, Maria Zubkova, University of Idaho, Moscow, ID, United States and Michael Laurence Humber, University of Maryland College Park, College Park, MD, United States
 
Comparison of two Land Surface Temperature products derived from the thermal infrared bands on-board Landsat 8 to ground reference measurements. (604291)
Tania Kleynhans, Rochester Institute of Technology, Rochester, United States and Aaron David Gerace, Rochester Institute of Technology, Rochester, NY, United States
 
Mapping Marginal Land Based on Decadal CDL and MODIS Land Cover Products in the Contiguous United States (612056)
Chongya Jiang, University of Illinois at Urbana-Champaign, College of Agricultural, Consumer and Environmental Sciences, Urbana, IL, United States, Kaiyu Guan, University of Illinois at Urbana Champaign, College of Agricultural, Consumer and Environmental Sciences, Urbana, IL, United States, Madhu Khanna, University of Illinois at Urbana Champaign, Department of Agriculture and Consumer Economics, Urbana, IL, United States, Sarah Acquah, University of Illinois at Urbana Champaign, Urbana, IL, United States and Jian Peng, University of Illinois at Urbana Champaign, Department of Computer Science, Urbana, IL, United States
 
Cloud formation over La Reunion Island for surface products (612511)
Natacha Kalecinski, University of Maryland, College Park, United States, Martial Haeffelin, Institut Pierre Simon Laplace, Paris, France, Jordi Badosa, Laboratoire de Météorologie Dynamique, Palaiseau, France and Jean-Claude Roger, University of Maryland College Park, College Park, MD, United States
 
Improving leaf area index retrieval over heterogeneous surface mixed with water (628507)
Baodong Xu1, Li Jing2, Taejin Park3, Qinhuo Liu4, Yelu Zeng5, Gaofei Yin6, Kai Yan7, Chi Chen8, Jing Zhao9, Weiliang Fan10, Yuri Knyazikhin11 and Ranga Myneni11, (1)Huazhong Agricultural University, Wuhan, China, (2)Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China, (3)Boston University, Department of Earth and Environment, Boston, MA, United States, (4)State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth ,Chinese Academy of Sciences, Beijing, China, (5)Carnegie Institution for Science Stanford, Stanford, CA, United States, (6)Southwest Jiaotong University, Chengdu, China, (7)China University of Geosciences, School of Land Science and Techniques, Beijing, China, (8)Boston University, Boston, MA, United States, (9)RADI Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China, (10)Zhejiang A & F University, Lin'an, China, (11)Boston University, Earth and Environment, Boston, MA, United States
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