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

Wednesday, 17 December 2014: 1:40 PM-6:00 PM
Chairs:  Christopher Owen Justice, University of Maryland, College Park, MD, United States
Primary Conveners:  Christopher Owen Justice, University of Maryland, College Park, MD, United States
Co-conveners:  Debra Peters, USDA, Office of the Chief Scientist, Washington DC, DC, United States and Bradley Doorn, NASA Headquarters, Earth Science Directorate, Washington, DC, United States
OSPA Liaisons:  Alyssa K Whitcraft, University of Maryland College Park, Geographical Sciences, College Park, MD, United States

Abstracts Submitted to this Session:

 
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
Steffen Fritz1, Jon Nordling1, Linda M See1, Ian McCallum1, Christoph Perger1, Inbal Becker-Reshef2, Sander Mucher3, Lieven Bydekerke4, Petr Havlik1, Florian Kraxner1 and Michael Obersteiner1, (1)IIASA, Laxenburg, Austria, (2)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (3)Wageningen UR, Wageningen, Netherlands, (4)VITO, Mol, Belgium
 
Earth Observations Requirements for Global Agricultural Monitoring: Evaluating the Revisit Capabilities of Current & Planned Moderate Resolution Optical & Thermal Infrared Earth Observing Missions
Alyssa K Whitcraft1, Inbal Becker-Reshef1, Eric Vermote1,2, Brian Killough3 and Christopher Owen Justice1, (1)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)NASA Langley Research Center, Poquoson, VA, United States
 
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
Jonas Schmedtmann and Manuel Campagnolo, Instituto Superior de Agronomia, School of Agronomy – Technical University of Lisbon, Lison, Portugal
 
Paddy Rice Identification by Blending Time-series SAR and Optical Data
Kei Oyoshi and Shinichi Sobue, Japan Aerospace Exploration Agency, Tsukuba, Ibaraki, Japan
 
Using Geostatistical Data Fusion Techniques and MODIS Data to Upscale Simulated Wheat Yield
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
 
GEOGLAM Crop Monitor Assessment Tool: Developing Monthly Crop Condition Assessments
Katie McGaughey1, Inbal Becker Reshef1, Brian Barker1, Michael Laurence Humber1, Jon Nordling1, Christopher Owen Justice1 and Michel Deshayes2, (1)University of Maryland College Park, College Park, MD, United States, (2)GEO Group on Earth Observations, Geneva, Switzerland
 
The Use of Proba-V data for Global Agricultural Monitoring
Sven Jan Bert Gilliams, Lieven Bydekerke, Bruno Smets and Bart De Ronde, VITO, Mol, Belgium
 
Strengths and Limitations of Operational Use of 1 Km EO Biophysical Products for Regional Prediction of Grain Yelds in Europe (wheat, barley and maize)
Olivier LEO1, Raul Lopez-Lozano1, Bettina Baruth1, Gregory Duveiller2, Sara Garcia-Condado2, Josh Hooker2, Michele Meroni3 and Lorenzo Seguini2, (1)Joint Research Center Ispra, Ispra, Italy, (2)Institute for Environment and Sustainability JRC, Ispra, Italy, (3)Institute for Environment and Sustainability JRC, ISPRA, Italy
 
Integrated Use of Multi-temporal SAR and Optical Satellite Imagery for Crop Mapping in Ukraine
Mykola S. Lavreniuk, Nataliia Kussul and Sergii Skakun, Space Research Institute NAS Ukraine and SSA Ukraine, Kyiv, Ukraine
 
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.
Brian Barker1, Katie McGaughey1, Michael Laurence Humber1, Jon Nordling1, Martin Claverie1, Christopher Owen Justice1, Michel Deshayes2 and Inbal Becker-Reshef1, (1)University of Maryland College Park, College Park, MD, United States, (2)GEO Group on Earth Observations, Geneva, Switzerland
 
Global Monitoring RSEM System for Crop Production by Incorporating Satellite-based Photosynthesis Rates and Anomaly Data of Sea Surface Temperature
Daijiro Kaneko, Remote Sensing Environmental Monitor, President, Yokohama, Japan and Hirofumi Sakuma, JAMSTEC Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan
 
The estimation of rice paddy yield with GRAMI crop model and Geostationary Ocean Color Imager (GOCI) image over South Korea
Jong-min Yeom and Hyun-Ok Kim, KARI Korea Aerospace Research Institute, Daejeon, South Korea
 
Benefits of Red-Edge Spectral Band and Texture Features for the Object-based Classification using RapidEye sSatellite Image data
Hyun-Ok Kim and Jong-min Yeom, KARI Korea Aerospace Research Institute, Daejeon, South Korea
 
Assessing the Remotely Sensed Drought Severity Index for Agricultural Drought Monitoring in North China
Jie Zhang, University of Maryland College Park, College Park, MD, United States, Jianxi Huang, CAU China Agricultural University, Beijing, China and Qiaozhen Mu, University of Montana, Missoula, MT, United States
 
Mapping Crop Cycles in China Using MODIS-EVI Time Series
Le Li1,2, Mark A Friedl3, Qinchuan Xin4, Josh M Gray5, Yaozhong Pan1 and Steve E Frolking6, (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, Boston, MA, United States, (4)Tsinghua University, Ministry of Education Key Laboratory for Earth System Modeling, Beijing, China, (5)Boston University, Earth and Environment, Boston, MA, United States, (6)Univ New Hampshire, Durham, NH, United States
 
Large Scale Crop Classification in Ukraine using Multi-temporal Landsat-8 Images with Missing Data
Nataliia Kussul1, Sergii Skakun1, Andrii Shelestov1,2 and Mykola S. Lavreniuk1, (1)Space Research Institute NAS Ukraine and SSA Ukraine, Kyiv, Ukraine, (2)National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
 
NASA’s NI-SAR Observing Strategy and Data Availability for Agricultural Monitoring and Assessment
Paul Siqueira1, Ralph Dubayah2, Josef M Kellndorfer3, Sassan S Saatchi4 and Bruce D Chapman4, (1)University of Massachusetts, Amherst, MA, United States, (2)Organization Not Listed, Washington, DC, United States, (3)Woods Hole Research Center, Falmouth, MA, United States, (4)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
 
GEOGLAM Crop Assessment Tool: Adapting from global agricultural monitoring to food security monitoring
Michael Laurence Humber, Inbal Becker-Reshef, Jon Nordling, Brian Barker and Katie McGaughey, University of Maryland College Park, College Park, MD, United States
 
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
Ha Nguyen1, Kees de Bie2 and Wouter Verhoef2, (1)Vietnam National University of Agriculture, Hanoi, Vietnam, (2)University of Twente, Natural Resources, Enschede, Netherlands
 
Utilizing NASA Earth Observations to Monitor Land Management Practices and the Development of Marshlands to Rice Fields in Rwanda
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
 
Agriculture In Uruguay: New Methods For Drought Monitoring and Crop Identification Using Remotely Sensed Data
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
 
Tracking Crop Leaf Area Index and Chlorophyll Content Using RapidEye Data in Northern Ontario, Canada
Jiali Shang1, Jiangui Liu1, Baoluo Ma1, Ting Zhao1, John Kovacs2, Xianfeng Jiao3, Taifeng Dong1, Ted Huffman1, Xiaoyuan Geng1 and Dan Walters2, (1)Agriculture and Agri-Food Canada, Ottawa, ON, Canada, (2)Nipissing University, Geography, North Bay, ON, Canada, (3)Natural Resources Canada, CCRS, Ottawa, ON, Canada
 
Mapping rice in the USA with Earth Observations in real time
Nathan Torbick1, William Salas1, Rick Mueller2, Matthew Hanson1, Megan Corbiere1 and Andy McKenzie3, (1)Applied Geosolutions, LLC, Durham, NH, United States, (2)USDA Washington DC, Washington, DC, United States, (3)University of Arkansas, Agricultural Economics, Fayetteville, AR, United States
 
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