Mapping, Methods, Modeling, and Monitoring: Agriculture’s Four Means of Global Change Assessment I Posters

Wednesday, 17 December 2014: 1:40 PM-6:00 PM
Chairs:  Rick Mueller, USDA NASS, Spatial Analysis Research Section, Fairfax, VA, United States and Jesslyn F Brown, USGS/EROS, Sioux Falls, SD, United States
Primary Conveners:  Jessica L McCarty, Michigan Technological University, Michigan Tech Research Institute, Houghton, MI, United States
Co-conveners:  Tatiana V Loboda, University of Maryland, College Park, MD, United States
OSPA Liaisons:  Jesslyn F Brown, USGS/EROS, Sioux Falls, SD, United States

Abstracts Submitted to this Session:

Understanding the Spectral Signature Characterization of Cropland Burning
Erik J. Boren and Luigi Boschetti, University of Idaho, Moscow, ID, United States
Using satellite image-based maps to improve sugarcane straw burning emission estimates in the state of São Paulo, Brazil
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
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
Deepak Jaiswal1, Fernando Miguez2, German Bollero1 and Stephen Long3, (1)University of Illinois at Urbana Champaign, Urbana, IL, United States, (2)Iowa State University, Ames, IA, United States, (3)University of Illinois, Department of Plant Biology and Crop Sciences, Urbana, IL, United States
Impact of Climate Change on Sugarcane Crop at Regional Scale: A Study with Remote Sensing and GIS
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 Climate Change Impact on U.S. Crop Yields with Reanalysis Data
Kentaro Kuwata, University of Tokyo, Bunkyo-ku, Japan
Analysis of Crop Phenology Using Time-Series MODIS Data and Climate Data
Jie Ren, James B Campbell, R. Quinn Thomas and Yang Shao, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States
Retrievals of Chlorophyll Fapar for Improved Crop Gpp Modeling
Qingyuan Zhang1, Yen-Ben Cheng2, Yujie Wang3, Alexei Lyapustin4 and Tian Yao1, (1)Universities Space Research Association Greenbelt, Greenbelt, MD, United States, (2)Sigma Space Corporation, Lanham, MD, United States, (3)University of Maryland Baltimore County, Baltimore, MD, United States, (4)NASA Goddard Space Flight Cen., Greenbelt, MD, United States
Using Satellite-based Evapotranspiration Estimation to Characterize Agricultural Irrigation Water Use
Baojuan Zheng1, Soe Win Myint1 and Jan M H Hendrickx2, (1)Arizona State University, Tempe, AZ, United States, (2)New Mexico Inst Mining & Tech, Socorro, NM, United States
A global map of irrigated agriculture in dry areas.
Pedram Rowhani, University of Sussex, Brighton, BN1, United Kingdom and Marc A Linderman, University of Iowa, Iowa City, IA, United States
Parameterization of FAO’s AquaCrop Model by Integrating a Hydrological Model and Climate Indices
Colin Langhorn, Stefan Werner Kienzle, Rufa Doria, Hester Jiskoot and Howard Cheng, University of Lethbridge, Lethbridge, AB, Canada
Famine Early Warning Systems Network (FEWS NET) Contributions to Strengthening Resilience and Sustainability for the East African Community
Michael E Budde1, Gideon Galu2, Chris C Funk3, James P Verdin4 and James Rowland1, (1)U.S. Geological Survey, Sioux Falls, SD, United States, (2)FEWS NET, Nairobi, Kenya, (3)University of California Santa Barbara, Geography, Santa Barbara, CA, United States, (4)USGS/EROS, Boulder, CO, United States
Data Driven Farming: Delivering the Benefits of Remotely Sensed Data and Decision Support Tools to Farmers
John Shriver, Jake A Soloff and Nick Molen, FarmLogs, Ann Arbor, MI, United States
Facilitating Synergies Between Free EO Datasets for Precision Farming
Przemyslaw Zelazowski, University of Oxford, Environmental Change Institute, Oxford, United Kingdom, Artur Nowakowski, University of Oxford, Oxford, United Kingdom; 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
Ankush Khandelwal1, Jamon Van Den Hoek2, Fernando Sedano3, Vipin Kumar1 and Compton J Tucker4, (1)University of Minnesota Twin Cities, Minneapolis, MN, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)University of Maryland, Washington, DC, United States, (4)NASA Goddard Space Flight Cen., Greenbelt, MD, United States
Advancing Methods for Estimating Cropland Area
LeeAnn King1, Matthew Hansen1, Stephen V. Stehman2, Bernard Adusei1, Peter Potapov1 and Alexander Krylov1, (1)University of Maryland, College Park, MD, United States, (2)SUNY College of Environmental Science and Forestry, Syracuse, NY, United States
Pansharpening Landsat 8 Data For Improved Agricultural Field Monitoring
Hankui Zhang and David P Roy, South Dakota State University, Brookings, SD, United States
Rice crop mapping and change prediction using multi-temporal satellite images in the Mekong Delta, Vietnam
Cheng-Ru Chen, Chi-Farn Chen and Son Thanh Nguyen, 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
Stephanie Anne Spera, John F Mustard 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
Chao Fan, Baojuan Zheng, Soe Win Myint and Rimjhim Aggarwal, Arizona State University, Tempe, AZ, United States
Understanding transitions in rice paddy extent and management in the Vietnamese Mekong River Delta using Landsat data
Caitlin P 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
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