B032
Characterizing and Monitoring Land Change and Associated Ecosystem Responses Using Long-term Time Series Remote Sensing Data
Session ID#: 77528
Session Description:
Land cover and land use changes alter a large range of biological and physical conditions and can have profound impacts on terrestrial ecosystems and climate at regional to global scales. Recent advances in remote sensing and computer technologies have facilitated the use of large volumes of satellite imagery and associated spatial data for conducting land change assessments across large geographic areas at multiple temporal scales. These assessments can improve environmental modeling efforts and advance our understanding of the drivers of change and the impacts of land change on ecosystems. This session focuses on characterizing land change across large geographical areas at annual to decadal scales and assessing how ecosystem processes and climate respond to land change using time series satellite remotely-sensed data. We seek contributions that use these multi-temporal datasets to advance our scientific understanding of the types, trends, magnitudes, and consequences of land change and ecosystem responses.
Index Terms:
0416 Biogeophysics [BIOGEOSCIENCES]
0426 Biosphere/atmosphere interactions [BIOGEOSCIENCES]
1632 Land cover change [GLOBAL CHANGE]
1640 Remote sensing [GLOBAL CHANGE]
Primary Convener: George Z Xian, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Sioux Falls, SD, United States
Convener: Seth M Munson, U.S. Geological Survey, Moab, UT, UNITED STATES
Primary Liaison: Zhe Zhu, University of Connecticut, Department of Natural Resources and the Environment, Storrs, CT, United States
Investigation of factors driving Landsat trends across Southern Canadian Prairie provinces from 1984-2011 (486140)
Niloofar Alavi-Shoushtari1, Darren Pouliot2, Jon Pasher3, Jason Duffe3, Scott Wilson3 and Daniel Bazor3, (1)Environment Canada Ottawa, Ottawa, ON, Canada, (2)Natural Resources Canada, Ottawa, ON, Canada, (3)Environment Canada Ottawa, Ottawa, Canada
Forest Disturbance Intensity Based on Annual Landsat Observations and Field Inventory Data (491083)
Xin Tao1,2, Chengquan Huang1, Feng Zhao3, Karen Schleeweis4, Jeffrey G Masek5 and Shunlin Liang6, (1)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (2)University at Buffalo, Buffalo, NY, United States, (3)University of Maryland College Park, College Park, United States, (4)US Forest Service Fort Collins, Fort Collins, CO, United States, (5)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (6)Univ Maryland, College Park, MD, United States
Mapping surface water change continuously using the Landsat TM archive (496733)
Christopher E Soulard, US Geological Survey, Menlo Park, CA, United States, Jessica Walker, US Geological Survey, Tucson, United States and Roy Petrakis, Contractor - US Geological Survey, Tucson, United States
Spatially Explicit Mapping of Land-Use Scenarios and Ecosystem Services Interactions of the Sokoto–Rima Basin (499316)
Saheed Adekunle Raji1,2, Shakirudeen Odunuga1, Mayowa Fasona1 and Akinlabi Oluyemi Akintuyi1, (1)University of Lagos, Department of Geography, Lagos, Nigeria, (2)Federal University of Petroleum Resources, Effurun, Department of Environmental Management and Toxicology, Effurun, Nigeria
National Land Cover Database (NLCD) 2016 Science Research Products (500104)
Suming Jin, Sioux Falls, SD, United States, Collin Homer, USGS Earth Resources Observation and Science Center, Sioux Falls, SD, United States, Jon Dewitz, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Sioux Falls, SD, United States, Patrick Danielson, USGS EROS, SGT, Sioux Falls, SD, United States and Danny Howard, KBR, contractor to USGS EROS, Sioux Falls, United States
A Markov Chain Cellular Automata modelling approach based on Allometric Growth law to explore future LULCC in Xiamen (China), under different urban growth scales (500680)
Jiangfu Liao1, Qiaoling Huang2, Qianyu Li3, Ning Huang2, Guofan Shao4 and Lina Tang3, (1)Jimei University, Xiamen, Jimei, Fujian, China, (2)Jimei University, Xiamen, China, (3)Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China, (4)Purdue University, Forestry and Natural Resources, West Lafayette, IN, United States
Completion of the 2016 National Land Cover Database, Revealing Patterns of Conterminous U.S. Land Cover Change from 2001 to 2016 (502981)
Collin Homer1, Jon Dewitz1, Suming Jin2 and George Z Xian3, (1)USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Sioux Falls, SD, United States, (2)ASRC Federal Inuteq/USGS EROS, Sioux Falls, SD, United States, (3)USGS EROS, Sioux Falls, SD, United States
Monitoring Change in Sand Dunes and Swamp Forests With Google Earth Engine: Decadal Ecosystem Variability in an Ecological Preserve (503807)
Kendall M Jefferys1, Patrick Clifton Gray2, Cameron Adams3, Justin T Ridge2 and David W Johnston2, (1)Duke University Marine Lab, Durham, NC, United States, (2)Duke University, Duke University Marine Lab, Beaufort, NC, United States, (3)Nature Conservancy, Kill Devil Hills, NC, United States
Framing land change through the lens of annual, broad-area land cover maps for the continental United States (Invited) (509071)
Robert E Kennedy1, Michael Joseph Hughes1,2, Justin Braaten3, Peter Clary4, Sam Hooper5, Zhiqiang Yang6 and Noel Gorelick7, (1)Oregon State University, Corvallis, OR, United States, (2)University of Tennessee, Knoxville, TN, United States, (3)Oregon State University, College of Forestry, Corvallis, OR, United States, (4)Oregon State University, Corvallis, United States, (5)Oregon State University, College of Earth Ocean and Atmospheric Sciences, Corvallis, OR, United States, (6)USDA Forest Service, Ogden, UT, United States, (7)Google, Mountian View, CA, United States
Global patterns of changing climatic conditions and anthropogenic dynamics lead to continental differences in dryland ecosystem functioning (515049)
Christin Abel1, Stephanie Horion2, Torbern Tagesson3, Wanda De Keersmaecker4 and Rasmus Fensholt3, (1)University of Copenhagen, København K, Denmark, (2)University of Copenhagen, Department of Geosciences and Natural Resource Management, København K, Denmark, (3)University of Copenhagen, Copenhagen, Denmark, (4)KU Leuven, Leuven, Belgium
Monitoring annual dynamics of urban landscape and vegetation phenology in the conterminous United States using the full archive of Landsat images and Google Earth Engine (517775)
Yuyu Zhou, Iowa State University, Department of Geological and Atmospheric Sciences, Ames, IA, United States, Xuecao Li, Iowa State University, Dept. of Geological & Atmospheric Sciences, Ames, IA, United States, Ghassem Asrar, Pacific Northwest National Laboratory, Richland, WA, United States, Zhengyuan Zhu, Iowa State University, Department of Statistics, Ames, IA, United States and Lin Meng, Iowa State University, Dept. of Geological & Atmospheric Sciences, Ames, United States
Improved understanding of land cover and land use change impacts on ecosystem functioning using high spatiotemporal resolution satellite observations (Invited) (518569)
William Kolby Smith1, Cynthia Norton1, Dong Yan1, Matthew P Dannenberg2, Xian Wang1, Nathaniel Robinson3, Brady W Allred3, Cynthia Wallace4, Willem J D Van Leeuwen1, Sasha Reed5 and William J Parton6, (1)University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States, (2)University of Iowa, Department of Geographical and Sustainability Sciences, Iowa City, IA, United States, (3)University of Montana, Numerical Terradynamic Simulation Group (NTSG), Missoula, MT, United States, (4)USGS Arizona Water Science Center, Tucson, AZ, United States, (5)U.S. Geological Survey, Moab, UT, United States, (6)Colorado State University, Natural Resource Ecology Laboratory, Fort Collins, CO, United States
The fill-and-fit (FF) approach for wall-to-wall within-year Landsat land surface monitoring (524059)
Lin Yan, Michigan State University, East Lansing, MI, United States and David Roy, Michigan State University, Department of Geography, Environment, & Spatial Sciences, and the Center for Global Change and Earth Observations, East Lansing, MI, United States
Detecting Coastal Marsh Change from Aerial Imagery using Spectral and Textural Methods: Pascagoula River Estuary, Mississippi, 1955-2014 (538338)
Margaret Claire Bell Waldron, University of Southern Mississippi, Gulf Coast Geospatial Center, Long Beach, MS, United States, Gregory A Carter, University of Southern Mississippi, Biological, Environmental, and Earth Sciences, Long Beach, MS, United States and Patrick Biber, University of Southern Mississippi, Coastal Sciences, Ocean Springs, MS, United States
The Use of Spaceborne Imaging Radar-C (SIR-C) Data for Long-Term Monitoring and Change Detection (547984)
Rudiger Gens1, Kenneth Arnoult Jr2, Valeria Gracheva2, Hannes Kistner3 and Franz Josef Meyer4, (1)University of Alaska Fairbanks, Fairbanks, AK, United States, (2)Alaska Satellite Facility, Fairbanks, AK, United States, (3)Karlsruhe Institute of Technology, Karlsruhe, Germany, (4)University of Alaska Fairbanks Geophysical Institute, Fairbanks, AK, United States
Characterizing landscape thermal features and change in the urban environment using time-series land cover and remote sensing data (549344)
George Z Xian1, Hua Shi2, Qiang Zhou1, Zhuoting Wu3, Roger Auch4 and Kevin P Gallo5, (1)USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Sioux Falls, SD, United States, (2)InuTeq, USGS EROS Center, Sioux Falls, SD, United States, (3)Western Geographic Science Center, Menlo Park, CA, United States, (4)USGS, Sioux Falls, SD, United States, (5)USGS EROS Data Center, Sioux Falls, SD, United States
New Land Disturbance Products for the Conterminous US (562910)
Zhe Zhu1, Zhiqiang Yang2, Shi Qiu3, Rong Shang1 and Junxue Zhang1, (1)University of Connecticut, Storrs, CT, United States, (2)USDA Forest Service, Ogden, UT, United States, (3)University of Connecticut, Department of Natural Resources and the Environment, Storrs, CT, United States
Mapping pasture and rangeland degradation in the Southern Cone of South America using Landsat (564538)
Radost Stanimirova, Boston University, Boston, MA, United States, Jordan Graesser, University of Queensland, Brisbane, Australia and Mark A Friedl, Boston University, Earth and Environment, Boston, MA, United States
Conterminous United States Evidence for Landsat 5 Satellite Orbit Change Reflectance Inconsistencies (566090)
Zhongbin Li, East Lansing, MI, United States; Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI, United States, David Roy, Michigan State University, Department of Geography, Environment, & Spatial Sciences, and the Center for Global Change and Earth Observations, East Lansing, MI, United States, Hankui Zhang, Department of Geography, South Dakota State University, Brookings, SD, United States and Haiyan Huang, Center for Global Change and Earth Observations, East Lansing, MI, United States
Unmanned Aerial Vehicle based Structure from Motion for Estimating Biocontrol Impacts on Riparian Tamarisk (566608)
Truman Combs1, Kamel Didan1, Armando Barreto-munoz2, Christopher J. Jarchow1, Martha Gomez-Sapiens3 and Pamela L Nagler4, (1)University of Arizona, Biosystems Engineering, Tucson, AZ, United States, (2)University of Arizona, Tucson, AZ, United States, (3)University of Arizona, Geosciences, Tucson, AZ, United States, (4)USGS Southwest Biological Science Center, Tucson, AZ, United States
The nature of land-cover changes to aquatic buffers in the Midwestern USA: 25 years of Landsat analyses (1993-2017) (584383)
Charles Lane1, Tedros M. Berhane2, Samson G Mengistu3, Jay Christensen4, Heather E Golden1, Shi Qiu5 and Zhe Zhu5, (1)US Environmental Protection Agency, Office of Research & Development, Cincinnati, OH, United States, (2)c/o U.S. Environmental Protection Agency, Cincinnati, OH, United States, (3)National Research Council c/o US Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, United States, (4)US EPA, ORD, NERL, ESD, Las Vegas, NV, United States, (5)University of Connecticut, Department of Natural Resources and the Environment, Storrs, CT, United States
Landsat time series reveals shifting vegetation due to sea level rise: a case study of forested wetlands in coastal North Carolina (594577)
Emily Ury1, Katelyn Chang1, Haynes Lynch1, Joy Reeves1, Emily S Bernhardt2 and Justin P Wright1, (1)Duke University, Durham, NC, United States, (2)Duke University, Department of Biology, Durham, NC, United States
LCMAP Land Cover Classification and Land Cover Change Metrics, 1985-2016 Based on the LCMAP Reference Data Set (594933)
Janis Taylor1, Roger Auch2, Kristi L Sayler3, Bruce Pengra4, Josephine Horton5, Kelcy Smith1 and Ryan R Reker6, (1)KBR, Sioux Falls, SD, United States, (2)USGS, Sioux Falls, SD, United States, (3)US Geological Survey, Sioux Falls, SD, United States, (4)KBR, Sioux Falls, United States, (5)Innovate! Inc., Alexandria, DC, United States, (6)USGS EROS Center, Sioux Falls, SD, United States
Quantifying agricultural land cover responses to drought across different socioeconomic contexts (605941)
Jennifer Kennedy, University of Maryland College Park, College Park, MD, United States, George C Hurtt, University of Maryland, Department of Geographical Sciences, College Park, MD, United States and Xin-Zhong Liang, College of Atmospheric Science, Nanjing University of Information Science and Technology, Nanjing, China; Department of Atmospheric & Oceanic Science, University of Maryland at College Park, USA, Nanjing, China
Validating a Landsat Time-Series of Fractional Component Cover Across Western U.S. Rangelands (612929)
Matthew Rigge, Sioux Falls, SD, United States, Collin Homer, USGS Earth Resources Observation and Science Center, Sioux Falls, SD, United States and Hua Shi, InuTeq, USGS EROS Center, Sioux Falls, SD, United States
