B33E:
Mapping, Methods, Modeling, and Monitoring: Agricultureâs Four Means of Global Change Assessment I Posters
Session ID#: 4713
Wednesday, 17 December 2014: 1:40 PM-6:00 PM
Not an Option (Moscone West)
Chairs: Rick Mueller, USDA NASS, Spatial Analysis Research Section, Fairfax, VA, United States and Jesslyn F Brown, USGS/EROS, Sioux Falls, United States
Primary Convener: Jessica McCarty, NASA Ames Research Center, Moffett Field, United States
Co-Convener: Tatiana V Loboda, University of Maryland, College Park, United States
OSPA Liaison: Jesslyn F Brown, USGS/EROS, Sioux Falls, United States
Co-Sponsor(s):
Virtual Option?: No
Abstracts Submitted to this Session:
Using satellite image-based maps to improve sugarcane straw burning emission estimates in the state of São Paulo, Brazil (29425)
Daniela França1,2, Karla Longo1,2, Bernardo Rudorff3, Daniel Aguiar3, Saulo R Freitas1,2, Rafael Stockler1,2 and Gabriel Pereira4, (1)CPTEC Center for Weather Forecasts and Climate Research, Grupo de Modelagem da Atmosfera e Interfaces - GMAI, Cachoeira Paulista, Brazil, (2)INPE National Institute for Space Research, Sao Jose dos Campos, Brazil, (3)Agrosatélite Geotecnologia Aplicada Ltda., Florianópolis, Brazil, (4)Federal University of São João Del Rei, São João Del Rei, Brazil
Land Use and Land Cover Change Modeling Using Remote Sensing and Soft Computing Approach to Assess Sugarcane Expansion Impacts in Tropical Agriculture (27350)
Luiz Eduardo Vicente1, Andrea Koga-Vicente2, Michael J Friedel3, Daniel Victoria1, Jurandir Zullo Jr.2, Daniel Gomes1 and Gustavo Bayma-Silva1, (1)EMBRAPA Brazilian Agricultural Research Corporation, Campinas, Brazil, (2)UNICAMP State University of Campinas, Centre for Meteorological and Climatological Researches in Agriculture - CEPAGRI, Campinas, Brazil, (3)GNS Science, Lower Hutt, New Zealand
The Future Potential of Brazilian Sugarcane Ethanol with respect to Land Availability and Climate Change (31348)
Deepak Jaiswal, Indian Institute of Technology Palakkad, Environmental Sciences and Sustainable Engineering Center, Palakkad, India, Fernando Miguez, Iowa State University, Department of Agronomy, Ames, United States, German Bollero, University of Illinois at Urbana Champaign, Urbana, IL, United States and Stephen Long, University of Illinois, Urbana, IL, United States
Impact of Climate Change on Sugarcane Crop at Regional Scale: A Study with Remote Sensing and GIS (15881)
Shruti Y1, Krushna Chandra Gouda2, Nageswara Rao P P1 and Nagaraj Bhat3, (1)Karnataka State Remote Sensing Applications center, Bangalore, India, (2)CSIR CENTRE FOR MATHEMATICAL MODELLING AND COMPUTER SIMULATION, CLIMATE AND ENVIRONMENT MODELLING, BANGALORE, India, (3)Shri Madhwa Vadiraja Institute of Technology and Management, Computer science & Engineering, UDUPI, India
Analysis of Crop Phenology Using Time-Series MODIS Data and Climate Data (17701)
Jie Ren1, James B Campbell1, Quinn Thomas2 and Yang Shao1, (1)Virginia Polytechnic Institute and State University, Blacksburg, VA, United States, (2)Virginia Polytechnic Institute and State University, Forest Resources and Environmental Conservation, Blacksburg, VA, United States
Retrievals of Chlorophyll Fapar for Improved Crop Gpp Modeling (10706)
Qingyuan Zhang, Universities Space Research Association Greenbelt, Greenbelt, MD, United States, Yen-Ben Cheng, Sigma Space Corporation, Lanham, MD, United States, Yujie Wang, University of Maryland Baltimore County, Baltimore, MD, United States, Alexei Lyapustin, NASA Goddard Space Flight Center, Greenbelt, United States and Tian Yao, Science Systems and Applications, Inc., Lanham, United States
Using Satellite-based Evapotranspiration Estimation to Characterize Agricultural Irrigation Water Use (25230)
Baojuan Zheng, Arizona State University, Tempe, AZ, United States, Soe Win Myint, Texas State University, Department of Geography and Environmental Studies, San Marcos, United States and Jan M H Hendrickx, New Mexico Inst Mining & Tech, Socorro, NM, United States
Parameterization of FAO’s AquaCrop Model by Integrating a Hydrological Model and Climate Indices (24201)
Colin Langhorn1, Stefan Werner Kienzle1, Rufa Doria1, Hester Jiskoot2 and Howard Cheng1, (1)University of Lethbridge, Lethbridge, AB, Canada, (2)University of Lethbridge, Geography and Environment, Lethbridge, AB, Canada
Famine Early Warning Systems Network (FEWS NET) Contributions to Strengthening Resilience and Sustainability for the East African Community (17567)
Michael E Budde1, Gideon Galu2, Chris C Funk3, James P Verdin4 and James Rowland1, (1)U.S. Geological Survey, Sioux Falls, United States, (2)FEWS NET, Nairobi, Kenya, (3)University of California Santa Barbara, Climate Hazards Center, Geography Department, Santa Barbara, CA, United States, (4)University of Maryland, Boulder, United States
Facilitating Synergies Between Free EO Datasets for Precision Farming (9183)
Przemyslaw Zelazowski, University of Oxford, Environmental Change Institute, Oxford, United Kingdom, Artur Nowakowski, Space Reseach Centre, Polish Academy of Sciences, Warsaw, Poland and Robert Szczepanek, Cracow University of Technology, Department of Environmental Engineering, Cracow, Poland
Mapping changes in agricultural cropping frequency across Zimbabwe using cross-scale time-series remote sensing data and a novel signal decomposition method (25245)
Ankush Khandelwal, University of Minnesota Twin Cities, Minneapolis, MN, United States, Jamon Van Den Hoek, NASA Goddard Space Flight Center, Greenbelt, United States, Fernando Sedano, University of Maryland, Washington, DC, United States, Vipin Kumar, University of Minnesota Twin Cities, Department of Computer Science & Engineering, Minneapolis, United States and Compton J Tucker, NASA Goddard Space Flight Center, Earth Science Division, Greenbelt, MD, United States
Advancing Methods for Estimating Cropland Area (17178)
LeeAnn King1, Matthew Hansen2, Stephen V. Stehman3, Bernard Adusei2, Peter Potapov1 and Alexander Krylov1, (1)University of Maryland, College Park, MD, United States, (2)University of Maryland, Department of Geographical Sciences, College Park, United States, (3)State University of New York, Department of Sustainable Resources Management, Syracuse, United States
Rice crop mapping and change prediction using multi-temporal satellite images in the Mekong Delta, Vietnam (26929)
Cheng-Ru Chen1, Chi-Farn Chen2 and Son Thanh Nguyen2, (1)National Central University of Taiwan, Center for Space and Remote Sensing Research, Taoyuan, Taiwan, (2)NCU National Central University of Taiwan, Center for Space and Remote Sensing Research, Jhongli, Taiwan
Mapping Large-Scale Mechanized Agriculture Across the Brazilian Cerrado Between 2001-2013 (7927)
Stephanie Anne Spera, University of Richmond, Geography, Environment, and Sustainability, Richmond, United States, John F Mustard, Brown University, Department of Earth, Environmental and Planetary Sciences, Providence, United States and Leah VanWey, Brown University, Providence, RI, United States
Monitoring cropping patterns using sequential Landsat imagery: An adaptive threshold approach and its application in Phoenix, AZ (28668)
Chao Fan1, Baojuan Zheng1, Soe Win Myint2 and Rimjhim Aggarwal1, (1)Arizona State University, Tempe, AZ, United States, (2)Texas State University, Department of Geography and Environmental Studies, San Marcos, United States
Understanding transitions in rice paddy extent and management in the Vietnamese Mekong River Delta using Landsat data (28306)
Caitlin Kontgis1, Annemarie Schneider2 and Mutlu Ozdogan2, (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
