B33C:
Earth Observations for National to Global Agricultural and Rangeland Monitoring (GEOGLAM) I Posters

Session ID#: 4707

Wednesday, 17 December 2014: 1:40 PM-6:00 PM
Not an Option (Moscone West)
Chair:  Christopher Owen Justice, University of Maryland, Department of Geographical Sciences, College Park, United States
Primary Convener:  Christopher Owen Justice, University of Maryland, Department of Geographical Sciences, College Park, United States
Co-conveners:  Debra Peters, USDA, Office of the Chief Scientist, Washington DC, DC, United States and Bradley Doorn, NASA Headquarters, Applied Sciences Program, Water Resources & Agriculture, Washington, United States
OSPA Liaison:  Alyssa K Whitcraft, University of Maryland College Park, Geographical Sciences, College Park, United States
Index Terms:

0402 Agricultural systems [BIOGEOSCIENCES]
0466 Modeling [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
1922 Forecasting [INFORMATICS]
Virtual Option?: No

Abstracts Submitted to this Session:

 
B33C-0177
Towards the Development and Validation of a Global Field Size and Irrigation Map using Crowdsourcing, Mobile Apps and Google Earth Engine in support of GEOGLAM (15583)
Steffen Fritz1, Jon Nordling1, Linda M See1, Ian McCallum1, Christoph Perger1, Inbal Becker-Reshef2, Sander Mucher3, Lieven Bydekerke4, Petr Havlik5, Florian Kraxner6 and Michael Obersteiner1, (1)IIASA, Laxenburg, Austria, (2)University of Maryland, Department of Geographical Sciences, College Park, United States, (3)Wageningen University and Research Centre, Earth Observation and Environmental Informatics, Wageningen, Netherlands, (4)VITO, Mol, Belgium, (5)IIASA International Institute for Applied Systems Analysis, Laxenburg, Austria, (6)International Institute for Applied Systems Analysis, Laxenburg, Austria
 
B33C-0178
Earth Observations Requirements for Global Agricultural Monitoring: Evaluating the Revisit Capabilities of Current & Planned Moderate Resolution Optical & Thermal Infrared Earth Observing Missions (5149)
Alyssa K Whitcraft1, Inbal Becker-Reshef2, Eric Vermote3,4, Brian Killough5 and Christopher Owen Justice4, (1)University of Maryland College Park, Geographical Sciences, College Park, United States, (2)University of Maryland, Department of Geographical Sciences, College Park, United States, (3)NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, (4)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (5)NASA Langley Research Center, Hampton, VA, United States
 
B33C-0179
Making the Use of Remote Sensing for Agricultural Subsidy Control More Effective: Automatizing Photo Interpretation of Satellite Imagery over Southern Portugal in the Context of the European Common Agriculture Policy (6484)
Jonas Schmedtmann and Manuel Campagnolo, Instituto Superior de Agronomia, School of Agronomy – Technical University of Lisbon, Lison, Portugal
 
B33C-0180
Paddy Rice Identification by Blending Time-series SAR and Optical Data (14441)
Kei Oyoshi, Japan Aerospace Exploration Agency, Earth Observation Research Center, Tsukuba, Ibaraki, Japan and Shinichi Sobue, Japan Aerospace Exploration Agency, Satellite Applications and Operations Center, Kanagawa, Japan
 
B33C-0181
Integration of Multisensor Remote Sensing Data for the Retrieval of Consistent Times Series of High-Resolution NDVI Images for Crop Monitoring in Landscapes Dominated By Small-Scale Farming Agricultural (7883)
Fernando Sedano, University of Maryland, Washington, DC, United States and Pieter Kempeneers, VITO, VITO, Mol, Belgium
 
B33C-0182
Using Geostatistical Data Fusion Techniques and MODIS Data to Upscale Simulated Wheat Yield (10985)
Gabriele Buttafuoco1, Annamaria Castrignano2, Alessandro Matese3 and Piero Toscano3, (1)CNR National Research Council, Rome, Italy, (2)CRA SCA, Bari, Italy, (3)CNR IBIMET, Firenze, Italy
 
B33C-0183
GEOGLAM Crop Monitor Assessment Tool: Developing Monthly Crop Condition Assessments (13779)
Katie McGaughey1, Inbal Becker Reshef1, Brian Barker1, Michael Laurence Humber2, Jon Nordling1, Christopher Owen Justice1 and Michel Deshayes3, (1)University of Maryland College Park, College Park, MD, United States, (2)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (3)GEO Group on Earth Observations, Geneva, Switzerland
 
B33C-0184
The Use of Proba-V data for Global Agricultural Monitoring (15197)
Sven jan bert Gilliams1, Lieven Bydekerke1, Bruno Smets1, Bart De Ronde1 and VITO-TAP, (1)VITO, Mol, Belgium
 
B33C-0185
Strengths and Limitations of Operational Use of 1 Km EO Biophysical Products for Regional Prediction of Grain Yelds in Europe (wheat, barley and maize) (15610)
Olivier LEO1, Raul Lopez-Lozano1, Bettina Baruth1, Gregory Duveiller2, Sara Garcia-Condado2, Josh Hooker2, Michele Meroni3, Lorenzo Seguini2 and MARS Unit, (1)Joint Research Center Ispra, Ispra, Italy, (2)Institute for Environment and Sustainability JRC, Ispra, Italy, (3)European Commission Joint Research Centre, Food Security, Ispra, Italy
 
B33C-0187
GEOGLAM best available crop masks and calendars for the four primary crop types (corn, wheat, soy and rice) within the main agricultural producing regions of the world. (17300)
Brian Barker1, Katie McGaughey1, Michael Laurence Humber1, Jon Nordling1, Martin Claverie2, Christopher Owen Justice1, Michel Deshayes3 and Inbal Becker-Reshef4, (1)University of Maryland College Park, College Park, MD, United States, (2)Univ. Catholique de Louvain, Boursier, Belgium, (3)GEO Group on Earth Observations, Geneva, Switzerland, (4)University of Maryland College Park, Geographical Sciences, College Park, MD, United States
 
B33C-0188
Demonstration and validation of automated agricultural field extraction from multi-temporal Landsat data for the majority of United States harvested cropland (18499)
Lin Yan and David P Roy, South Dakota State University, Brookings, SD, United States
 
B33C-0189
Global Monitoring RSEM System for Crop Production by Incorporating Satellite-based Photosynthesis Rates and Anomaly Data of Sea Surface Temperature (20940)
Daijiro Kaneko, Remote Sensing Environmental Monitor, Inc., President, Yokohama, Japan and Hirofumi Sakuma, JAMSTEC Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan
 
B33C-0190
The estimation of rice paddy yield with GRAMI crop model and Geostationary Ocean Color Imager (GOCI) image over South Korea (21005)
Jong-Min Yeom, KARI Korea Aerospace Research Institute, Daejeon, Korea, Republic of (South) and Hyun-Ok Kim, KARI Korea Aerospace Research Institute, Satellite Application Division, Daejeon, South Korea
 
B33C-0192
Assessing the Remotely Sensed Drought Severity Index for Agricultural Drought Monitoring in North China (21248)
Jie Zhang, University of Maryland College Park, College Park, MD, United States, Jianxi Huang, China Agricultural University, College of Land Science and Technology, Beijing, China and Qiaozhen Mu, University of Montana, Missoula, MT, United States
 
B33C-0193
Mapping Crop Cycles in China Using MODIS-EVI Time Series (22168)
Le Li1,2, Mark A Friedl3, Qinchuan Xin4, Josh Gray3, Yaozhong Pan1 and Steve E Frolking5, (1)Beijing Normal University, Beijing, China, (2)IB Institute of Botany, Chinese Academy of Sciences, State Key Laboratory of Vegetation and Environmental Change, Beijing, China, (3)Boston University, Earth and Environment, Boston, MA, United States, (4)Sun Yat-Sen University, Ministry of Education Key Laboratory for Earth System Modeling, Guangzhou, China, (5)University of New Hampshire, Durham, United States
 
B33C-0195
NASA’s NI-SAR Observing Strategy and Data Availability for Agricultural Monitoring and Assessment (23895)
Paul Siqueira, University of Massachusetts Amherst, Electrical and Computer Engineering, Amherst, MA, United States, Ralph Dubayah, University of Maryland College Park, College Park, MD, United States, Josef M Kellndorfer, Earth Big Data LLC, Woods Hole, MA, United States, Sassan S Saatchi, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and Bruce D Chapman, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
B33C-0196
Crop monitoring & yield forecasting system based on Synthetic Aperture Radar (SAR) and process-based crop growth model: Development and validation in South and South East Asian Countries (26532)
Tri Deri Setiyono, International Rice Research Institute, Alexandria, VA, United States
 
B33C-0197
GEOGLAM Crop Assessment Tool: Adapting from global agricultural monitoring to food security monitoring (26720)
Michael Laurence Humber1, Inbal Becker-Reshef1, Jon Nordling2, Brian Barker2 and Katie McGaughey2, (1)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (2)University of Maryland College Park, College Park, MD, United States
 
B33C-0198
Assimilation of MODIS-derived LAI by radiative transfer modelling to crop growth simulation model for rice crop monitoring and yield estimation in the Mekong delta, Vietnam (28035)
Ha Nguyen, Vietnam National University of Agriculture, Hanoi, Vietnam, Kees de Bie, University of Twente, Natural Resources, Enschede, Netherlands and Wouter Verhoef, University of Twente, (retired from) Department of Water Resources (WRS), Faculty of Geo-Information Science and Earth Observation (ITC), Enschede, Netherlands
 
B33C-0199
Utilizing NASA Earth Observations to Monitor Land Management Practices and the Development of Marshlands to Rice Fields in Rwanda (28174)
Daria Blach, Manzi Roger Dusabimana, Faith Mwiza, Emmanuel Muzungu, Rohini Swaminathan and Zachary Tate, NASA DEVELOP National Program, Wise County and City of Norton Clerk's Office, Wise, VA, United States
 
B33C-0200
Agriculture In Uruguay: New Methods For Drought Monitoring and Crop Identification Using Remotely Sensed Data (28293)
Jerrod Lessel, NASA DEVELOP National Program, International Research Institute for Climate and Society, Palisades, NY, United States and Pietro Ceccato, International Research Institute for Climate and Society, Columbia University, Palisades, NY, United States
 
B33C-0201
Tracking Crop Leaf Area Index and Chlorophyll Content Using RapidEye Data in Northern Ontario, Canada (28428)
Jiali Shang1, Jiangui Liu1, Baoluo Ma2, Ting Zhao2, John M. Kovacs3, Xianfeng Jiao4, Taifeng Dong2, Ted Huffman2, Xiaoyuan Geng2 and Dan Walters3, (1)Agriculture and Agri-Food Canada, Science and Technology Branch, Ottawa, ON, Canada, (2)Agriculture and Agri-Food Canada, Ottawa, ON, Canada, (3)Nipissing University, Geography, North Bay, ON, Canada, (4)Natural Resources Canada, CCRS, Ottawa, ON, Canada
 
B33C-0202
Mapping rice in the USA with Earth Observations in real time (29113)
Nathan Torbick1, William Salas2, Rick Mueller3, Matthew Hanson2, Megan Corbiere2 and Andy McKenzie4, (1)Mitti Labs Limited, Mumbai, India, (2)Applied Geosolutions, LLC, Durham, NH, United States, (3)USDA Washington DC, Washington, DC, United States, (4)University of Arkansas, Agricultural Economics, Fayetteville, AR, United States
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