GC53A:
Advances in Earth Observation for Agricultural Monitoring (GEOGLAM): Food Security and Early Warning II Poster

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Session ID#: 12851

Session Description:
Earth observations (EO) can be a critical input to help food insecure nations dynamically monitor food production, forecast production changes, and inform decision making to support effective responses to emerging food scarcity. The international GEO Global Agricultural Monitoring (GEOGLAM) Initiative promotes the utilization of EO data for crop monitoring in main producer countries and countries-at-risk for food insecurity by:

  • addressing gaps in national capacity;
  • improving availability of, quality of, and access to satellite data;
  • fostering operational R&D of ‘best-practices’ for agricultural monitoring in production and smallholder contexts; and,
  • producing global monthly, multi-source consensus reports on crop conditions (via the GEOGLAM Crop Monitors).

This session invites abstracts on EO-based tools, methods, and analyses related to agricultural monitoring and forecasting in the context of national, regional, and global food security. This session will highlight recent advances in monitoring techniques and activities focusing on early warning in countries at risk of food insecurity.

Primary Convener:  Alyssa K Whitcraft, University of Maryland College Park, Geographical Sciences, College Park, United States
Convener:  Christopher Owen Justice, University of Maryland College Park, College Park, MD, United States
Chairs:  Alyssa K Whitcraft, University of Maryland College Park, Geographical Sciences, College Park, United States and Felix Rembold, Institute for Environment and Sustainability JRC, ISPRA, Italy
OSPA Liaison:  Alyssa K Whitcraft, University of Maryland College Park, Geographical Sciences, College Park, United States

Cross-Listed:
  • B - Biogeosciences
  • PA - Public Affairs
Index Terms:

0402 Agricultural systems [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
1640 Remote sensing [GLOBAL CHANGE]
1934 International collaboration [INFORMATICS]

Abstracts Submitted to this Session:

Rice crop growth and outlook monitoring using SAR in Asia (118506)
Shinichi Sobue, Japan Aerospace Exploration Agency, Satellite Applications and Operations Center, Kanagawa, Japan, Kei Oyoshi, JAXA Japan Aerospace Exploration Agency, Sagamihara, Japan, Ko Hamamoto, Japan Aerospace Exploration Agency, Kanagawa, Japan and Yousuke Ikehata, JAXA Japan Aerospace Exploration Agency, Satellite Applications and Operations Center (SAOC), Tsukuba, Japan
Development of a global Agricultural Stress Index System (ASIS) based on remote sensing data (119005)
Roel Van Hoolst, VITO, Mol, Belgium
Global Scale Trend Analysis of Earth Observation Based Phenology (119126)
Sven Jan Bert Gilliams and Roel Van Hoolst, VITO, Mol, Belgium
Crop Yield and Area can be Reliably Estimated Using Farmer Supplied Yield Data, Remote Sensing and Crop Models in Australia. (120929)
Roger Lawes, CSIRO, Agriculture and Food, Floreat, Australia
Development of CropWatch Online Agriculture Monitoring System (138827)
Xin Zhang, Bingfang Wu, Miao Zhang, Hongwei Zeng and Nana Yan, RADI Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
A Phenology-based Approach for Rice Crop Mapping from Multi-temporal Sentinel-1A Data in Taiwan (170712)
Chi-Farn Chen1, Jyun-Bin Chen1, Son Thanh Nguyen2, Cheng-Ru Chen1 and Tang-Huang Lin2, (1)National Central University, Center for Space and Remote Sensing Research, Taoyuan, Taiwan, (2)National Central University, Center for Space and Remote Sensing Research, Kanagawa, Japan
National-scale crop type mapping and area estimation using multi-resolution remote sensing and field survey (162962)
Xiao-Peng Song1, Peter Potapov1, Bernard Adusei1, LeeAnn King1, Ahmad Khan1, Alexander Krylov1, Carlos Marcelo Di Bella2, Amy Hudson Pickens3, Stephen V. Stehman4 and Matthew Hansen5, (1)University of Maryland College Park, College Park, MD, United States, (2)INTA, Instituto de Clima y Agua, Buenos Aires, Argentina, (3)University of Maryland, Department of Geographical Sciences, College Park, United States, (4)State University of New York, Department of Sustainable Resources Management, Syracuse, United States, (5)University of Maryland College Park, Department of Geographical Sciences, College Park, United States
Fusion of multi-source remote sensing data for agriculture monitoring tasks (163988)
Sergii Skakun1, Belen Franch1, Eric Vermote2, Jean-Claude Roger1, Inbal Becker Reshef1, Christopher Owen Justice1, Jeffrey G Masek3 and Emilie Murphy1, (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)NASA Goddard Space Flight Center, Greenbelt, MD, United States
Improved Satellite-based Crop Yield Mapping by Spatially Explicit Parameterization of Crop Phenology (165149)
Zhenong Jin1, George Azzari1 and David B Lobell2, (1)Stanford University, Stanford, CA, United States, (2)Stanford University, Earth System Science, Stanford, CA, United States
Mapping Rice Cropping Patterns Using Multi-temporal Sentinel-1A Data (171267)
Son Thanh Nguyen1, Chi-Farn Chen2, Cheng-Ru Chen2, Tang-Huang Lin1 and Lau-Va Khin2, (1)National Central University, Center for Space and Remote Sensing Research, Kanagawa, Japan, (2)National Central University, Center for Space and Remote Sensing Research, Taoyuan, Taiwan
A Comparative Object-Based Sugarcane Classification from Sentinel-2 Data Using Random Forests and Support Vector Machines (171561)
Cheng-Ru Chen1, Chi-Farn Chen1, Son Thanh Nguyen2, Khin Lau3 and Jinn-Guey Lay4, (1)National Central University, Center for Space and Remote Sensing Research, Taoyuan, Taiwan, (2)National Central University, Center for Space and Remote Sensing Research, Kanagawa, Japan, (3)National Central University, Department of Geography, Taoyuan, Taiwan, (4)NTU National Taiwan University, Department of Geography, Taipei, Taiwan
Reducing the Impact of Cloud Cover on Operational Crop Inventories (178247)
Alyssa K Whitcraft1, Catherine Champagne2, Bahram Daneshfar3, Thierry Fisette2 and Andrew M. Davidson4, (1)University of Maryland College Park, Geographical Sciences, College Park, United States, (2)Agriculture and Agri-Food Canada, National AgroClimate Information Service, Ottawa, ON, Canada, (3)Agriculture and Agri-Food Canada, Agroclimate, Geomatics and Earth Observation Division, Ottawa, ON, Canada, (4)Agriculture and Agri-Food Canada, Science and Technology Branch, Ottawa, ON, Canada
Capacity Building with CHIRPS Amidst a Station-Recording Crisis (180914)
Pete Peterson, University of California Santa Barbara, Geography, Santa Barbara, CA, United States
A Modernized System for Agricultural Monitoring for Food Security in Tanzania (186681)
Jan Dempewolf1, Catherine Lilian Nakalembe2, Inbal Becker-Reshef3, Christina Jade Justice4, Siza Tumbo5, Boniface Mbilinyi5, Sixbert Maurice5 and Marystella Mtalo6, (1)University of Maryland, College Park, MD, United States, (2)University of Maryland, Department of Geographical Sciences, College Park, MD, United States, (3)University of Maryland, Department of Geographical Sciences, College Park, United States, (4)University of Maryland, Geographical Sciences, College Park, United States, (5)Sokoine University of Agriculture, Morogoro, Tanzania, (6)Tanzania Ministry of Agriculture, Livestock and Fisheries, National Food Security Division, Dar es Salaam, Tanzania
Remote Sensing Analysis of Malawi's Agricultural Inputs Subsidy and Climate Variability Impacts on Productivity (187256)
Gillian L Galford, University of Vermont, Rubenstein School of Environment and Natural Resources, Burlington, VT, United States, Greg Fiske, Woods Hole Science Center Falmouth, Falmouth, MA, United States, Fernando Sedano, University of Maryland, Washington, DC, United States and Hope Michelson, University of Illinois at Urbana Champaign, Urbana, IL, United States
Development and implementation of a GEOGLAM Crop Monitor web interface (187443)
Antonio Sanchez1, Michael Laurence Humber2, Inbal Becker-Reshef3, Christina Jade Justice4, Katie McGaughey1, Brian Barker1 and Patricia Oliva5, (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)University of Maryland, Department of Geographical Sciences, College Park, United States, (4)University of Maryland, Geographical Sciences, College Park, United States, (5)Hémera Centro de Observación de la Tierra, Escuela de Ingeniería Forestal, Facultad de Ciencias, Universidad Mayor, Santiago, Chile
Satellite Monitoring for Early Warning and Triggering Disaster Risk Financing in Uganda (188293)
Catherine Lilian Nakalembe, University of Maryland, Department of Geographical Sciences, College Park, MD, United States; and Martin Owor, Uganda Office of the Prime Minister, Department of Relief, Disaster Preparedness and Management, Kampala, Uganda
Linking Field and Satellite Observations to Reveal Differences in Single vs. Double-Cropped Soybean Yields in Central Brazil (189651)
Graham Robert Jeffries, Tufts University, Friedman School of Nutrition Science and Policy, Medford, MA, United States and Avery Cohn, Tufts University, The Fletcher School, Medford, MA, United States
Using Satellite Data to Unpack Causes of Yield Gaps in India’s Wheat Belt (189882)
Meha Jain1, Balwinder Singh2, Amit Srivastava3, Ram K Malik3, Andrew McDonald4 and David B Lobell5, (1)University of Michigan, School for Environment and Sustainability, Ann Arbor, MI, United States, (2)International Maize and Wheat Improvement Center (CIMMYT), New Delhi, India, (3)CSISA-CIMMYT, New Delhi, India, (4)University of Cambridge, Cambridge, United Kingdom, (5)Stanford University, Earth System Science, Stanford, CA, United States
The value of Sentinel 1 and 2 for agricultural monitoring: lessons learned from a few case studies.  (193178)
George Azzari, Stanford University, Stanford, CA, United States and David B Lobell, Stanford University, Earth System Science, Stanford, CA, United States
Evolution of regional to global paddy rice mapping methods (196874)
Jinwei Dong, University of Oklahoma Norman Campus, Norman, OK, United States and Xiangming Xiao, University of Oklahoma Norman Campus, School of Biological Sciences, Norman, United States

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