B43A
Advances in Earth Observations for Regional to Global Agricultural Monitoring: GEOGLAM and Other Activities I Posters

Thursday, 17 December 2015: 13:40-18:00
Poster Hall (Moscone South)
Primary Conveners:  Alyssa K Whitcraft, University of Maryland College Park, Geographical Sciences, College Park, MD, United States
Conveners:  Kaiyu Guan1, Debra P C Peters2,3 and David B Lobell1, (1)Stanford University, Stanford, CA, United States(2)USDA-ARS Jornada Exp Range, Las Cruces, NM, United States(3)USDA Washington DC, Washington, DC, United States
Chairs:  Kaiyu Guan1, Debra P C Peters2, David B Lobell1 and Alyssa K Whitcraft3, (1)Stanford University, Stanford, CA, United States(2)USDA Washington DC, Washington, DC, United States(3)University of Maryland College Park, Geographical Sciences, College Park, MD, United States
OSPA Liaisons:  Alyssa K Whitcraft, University of Maryland College Park, Geographical Sciences, College Park, MD, United States
 
Mapping South Korea's Paddy Rice During 2001-2015 Based on Landsat Images (64183)
Yan Huang1, Youngryel Ryu1,2 and Chongya Jiang1, (1)Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, South Korea, (2)Department of Landscape Architecture and Rural Systems Engineering, Seoul National University, Seoul, South Korea
 
Full-polarization radar remote sensing and data mining for tropical crops mapping: a successful SVM-based classification model (66814)
Julien Denize1,2, Samuel Corgne2, Pierre Todoroff3 and Lionel LE Mezo3, (1)Agrocampus Ouest, Rennes Cedex, France, (2)University of Rennes 2, Rennes, France, (3)CIRAD, Saint-Pierre, Reunion
 
Biomass Productivity Dynamics Monitoring and its Drivers in Sahelian Croplands and Rangelands to Support Food Security Policies (67876)
Louise Leroux, CIRAD Montpellier, Montpellier Cedex 05, France
 
Monitoring rice farming activities in the Mekong Delta region (68810)
Son Thanh Nguyen1, Chi-Farn Chen2, Cheng-Ru Chen3, Shou-hao Chiang1, Li-Yu Chang1 and Lau-Va Khin2, (1)NCU National Central University of Taiwan, Center for Space and Remote Sensing Research, Jhongli, Taiwan, (2)NCU National Central University of Taiwan, Jhongli, Taiwan, (3)Center for Space and Remote Sensing Research, Chung-Li, Taiwan
 
Drought assessment for cropland of Central America using course-resolution remote sensing data (68849)
Chi-Farn Chen1, Son Thanh Nguyen2, Cheng-Ru Chen3, Shou-hao Chiang2, Li-Yu Chang2 and Lau-Va Khin1, (1)NCU National Central University of Taiwan, Jhongli, Taiwan, (2)NCU National Central University of Taiwan, Center for Space and Remote Sensing Research, Jhongli, Taiwan, (3)Center for Space and Remote Sensing Research, Chung-Li, Taiwan
 
A Fully Automated Classification for Mapping the Annual Cropland Extent (74329)
Francois Waldner, Université Catholique de Louvain, Geomatics, Louvain-La-Neuve, Belgium and Pierre Defourny, Université Catholique de Louvain, Louvain-La-Neuve, Belgium
 
Validation of Landsat 8 satellite-derived LAI from field measurements in a durum-wheat cropped area in south-eastern Italy (69359)
Gabriele Buttafuoco, CNR National Research Council, Rome, Italy, Annamaria Castrignano, CRA SCA, Bari, Italy, Piero Toscano, CNR IBIMET, Firenze, Italy and Michele Rinaldi, Cereal Research Center - CREA CER, Foggia, Italy
 
Landsat-derived cropland mask for Tanzania using 2010-2013 time series and decision tree classifier methods (69634)
Christina Jade Justice, University of Maryland College Park, College Park, MD, United States
 
Monitoring Food Security Indicators from Remote Sensing and Predicting Cereal Production in Afghanistan (70587)
Md Shahriar Pervez1, Michael E Budde2 and James Rowland2, (1)ASRC Federal InuTeq, Contractor to USGS EROS, Sioux Falls, SD, United States, (2)U.S. Geological Survey, Sioux Falls, SD, United States
 
Data Assimilation of PROBA-V 100 m and 300 m. (72545)
Sven jan bert Gilliams, VITO, Mol, Belgium
 
Earth Observation Based Canadian Crop Yield Forecasting -- Impact of Spatial Modeling Scale (72632)
Yinsuo Zhang1, Bahram Daneshfar1, Aston Chipanshi2, Catherine Champagne3 and Andrew M. Davidson1, (1)Agriculture and Agri-Food Canada, Ottawa, ON, Canada, (2)Agriculture Agri-Food Canada, Regina, SK, Canada, (3)Agriculture and Agri-Food Canada, National AgroClimate Information Service, Ottawa, ON, Canada
 
Statistical rice yield modeling using blended MODIS-Landsat based crop phenology metrics in Taiwan (73071)
Cheng-Ru Chen, National Central University of Taiwan, Center for Space and Remote Sensing Research, Taoyuan, Taiwan, Chi-Farn Chen, NCU National Central University of Taiwan, Jhongli, Taiwan, Son Thanh Nguyen, NCU National Central University of Taiwan, Center for Space and Remote Sensing Research, Jhongli, Taiwan and Khin Va Lau, National Central University, Kanagawa, Japan
 
Assessing COSMO-SkyMed capability for crops identification and monitoring (73387)
Rocchina Guarini and Luigi Dini, Italian Space Agency, Matera, Italy
 
Winter wheat production forecast in United States of America using AVHRR historical data and NCAR Growing Degree Day (73932)
Belen Franch1, Eric Vermote2, Inbal Becker-Reshef3, Martin Claverie1 and Christopher Owen Justice4, (1)University of Maryland College Park, College Park, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (4)University of Maryland, College Park, MD, United States
 
An Agro-Climatological Early Warning Tool Based on the Google Earth Engine to Support Regional Food Security Analysis (74150)
Martin Francis Landsfeld1, Britta Daudert2, MacKenzie Friedrichs3, Charles Morton2, Katherine Hegewisch4, Gregory J Husak1, Chris C Funk1, Pete Peterson1, Justin L Huntington2, John T Abatzoglou4 and James P Verdin5, (1)University of California Santa Barbara, Geography, Santa Barbara, CA, United States, (2)Desert Research Institute, Reno, NV, United States, (3)EROS/SGT, Inc, Sioux Falls, SD, United States, (4)University of Idaho, Department of Geography, Moscow, ID, United States, (5)USGS/EROS, Boulder, CO, United States
 
The GEOGLAM Rangelands and Pasture Productivity Activity: Recent Progress and Future Directions (77062)
Juan P Guerschman1, Andre Alexander Held1, Randall J Donohue1, Luigi J Renzullo2, Neil Sims3, Flora Kerblat2 and Mike Grundy4, (1)CSIRO Land and Water Canberra, Canberra, Australia, (2)CSIRO Land and Water, Canberra, Australia, (3)CSIRO, Land and Water, Clayton, VIC, Australia, (4)CSIRO, Agriculture, Brisbane, Australia
 
Crop Monitoring as a Tool for Modelling the Genesis of Millet Prices in Senegal (77606)
Damien Jacques1, Eduardo Marinho1, Pierre Defourny1, Francois Waldner2 and Raphaël d'Andrimont1, (1)Université Catholique de Louvain, Louvain-La-Neuve, Belgium, (2)Organization Not Listed, Washington, DC, United States
 
WEBGIS based CropWatch online agriculture monitoring system (77953)
Xin Zhang, Bingfang Wu, Hongwei Zeng, Miao Zhang and Nana Yan, RADI Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
 
Spatial Field Variability Mapping of Rice Crop using Clustering Technique from Space Borne Hyperspectral Data (78209)
Shreedevi Moharana1, Subashisa Dutta1 and Subashisa Dutta, (1)Indian Institute of Technology Guwahati, Guwahati, India
 
Real Time, On Line Crop Monitoring and Analysis with Near Global Landsat-class Mosaics (79285)
Dmitry Varlyguin, Stephanie Hulina, James Crutchfield, Curt A Reynolds and Ronald Frantz, Organization Not Listed, Washington, DC, United States
 
Mapping Crop Patterns in Central US Agricultural Systems from 2000 to 2014 Based on Landsat Data: To What Degree Does Fusing MODIS Data Improve Classification Accuracies? (79499)
Likai Zhu1, Volker Radeloff1, Anthony R Ives2 and Brandon Barton3, (1)University of Wisconsin Madison, Department of Forest and Wildlife Ecology, Madison, WI, United States, (2)University of Wisconsin Madison, Department of Zoology, Madison, WI, United States, (3)Mississippi State University, Department of Biological Sciences, Mississippi State, MS, United States
 
Development of a Global Agricultural Hotspot Detection and Early Warning System (80441)
Guido Lemoine, Joint Research Center Ispra, Ispra, Italy
 
Soybean Area and Yield Estimation Using MODIS and Landsat Data in the Conterminous United States (82824)
Xiao-Peng Song1, Matthew Hansen2, Peter Potapov2, Stephen V. Stehman3, Alexander Krylov2, LeeAnn King1 and Bernard Adusei1, (1)University of Maryland College Park, College Park, MD, United States, (2)University of Maryland, College Park, MD, United States, (3)SUNY College of Environmental Science and Forestry, Syracuse, NY, United States
 
Mapping Crop Yield and Sow Date Using High Resolution Imagery (83353)
Keitasha Royal, Organization Not Listed, Washington, DC, United States
 
Incorporating phenology into yield models (85364)
Josh M Gray, Boston University, Boston, MA, United States
 
A Harmonized Landsat-Sentinel-2 Surface Reflectance product: a resource for Agricultural Monitoring (85646)
Martin Claverie1,2, Junchang Ju3, Jeffrey G Masek2, Eric Vermote2 and Christopher Owen Justice4, (1)University of Maryland College Park, College Park, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)Universities Space Research Association Columbia, Columbia, MD, United States, (4)University of Maryland College Park, Geographical Sciences, College Park, MD, United States
 
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