B21C:
Monitoring Land Cover and Land Use Change Using Long-Term Time Series Remote Sensing Information III


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Session ID#: 59815

Session Description:
Land cover and land use change can have profound impacts on terrestrial ecosystems and climate at both regional and global scales. It is important to continuously monitor and conduct in-depth analyses such that we can objectively assess the impact of land change on Earth systems. More temporally-specific information of land change is needed to improve a wide range of environmental modeling studies, to advance understanding of the drivers of change and the impacts of weather and climate variability on land use decisions, and to inform land management decisions. This session focuses on both research methodology and applications for using time series satellite remotely-sensed data to characterize land cover and land use change in large geographical areas across time. We seek contributions that use these multi-temporal data sets to advance our scientific understanding of various dynamic processes including types, trends, magnitudes, causes, and consequences of land change.
Primary Convener:  George Z Xian, USGS, Science, Sioux Falls, SD, United States
Conveners:  Zhe Zhu, Texas Tech University, Lubbock, TX, United States, Heather Tollerud, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Sioux Falls, SD, United States and Thomas R Loveland, USGS EROS Data Ctr, Sioux Falls, SD, United States
Primary Liaison:  Thomas R Loveland, USGS EROS Data Ctr, Sioux Falls, SD, United States
Chairs:  George Z Xian, USGS, ISAB, Sioux Falls, United States and Heather Tollerud, USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls, United States
OSPA Liaison:  George Z Xian, USGS, ISAB, Sioux Falls, United States
Index Terms:

0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
1632 Land cover change [GLOBAL CHANGE]
1807 Climate impacts [HYDROLOGY]

Abstracts Submitted to this Session:

COntinuous monitoring of Land Disturbance (COLD) (448428)
Zhe Zhu, Texas Tech University, Lubbock, TX, United States
Spectral Mixture Analysis in Google Earth Engine to Model and Delineate Fire Scars from 1985 to 2017 in the Amazon Forest – Cerrado Transition Zone (457458)
Gabriel Antunes Daldegan1, Dar A Roberts2 and Fernanda Ribeiro1, (1)University of California Santa Barbara, Santa Barbara, CA, United States, (2)University of California, Santa Barbara, Department of Geography, Santa Barbara, United States
Using Time Series of Landsat Data for Cropland Mapping in South America (380157)
Viviana Zalles1, Matthew Hansen2 and Peter Potapov2, (1)University of Maryland College Park, College Park, MD, United States, (2)University of Maryland, Department of Geographical Sciences, College Park, United States
Landsat time series change analysis of two mid-Atlantic barrier islands salt marsh (1984-2018) (385655)
Anthony Campbell, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Yeqiao Wang, University of Rhode Island, Natural Resources Science, Narragansett, RI, United States
Overall Method Design for NLCD 2016: 2001-2016 Land Cover and Land Cover Change (354725)
Suming Jin, U.S. Geological Survey, Earth Resources and Observation Science (EROS) Center, Sioux Falls, United States, Limin Yang, SGT/USGS EROS, Sioux Falls, United States, Patrick Danielson, KBR, contractor to the USGS EROS, Sioux Falls, SD, United States, Jon Dewitz, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Sioux Falls, United States, Collin Homer, USGS Earth Resources Observation and Science Center, Sioux Falls, SD, United States and George Z Xian, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, ISAB, Sioux Falls, SD, United States
An ensemble approach of cloud detection based on the time series of Sentinel-2 imagery (411356)
Cheng-Chien Liu, NCKU National Cheng Kung University, Department of Earth Sciences, Tainan, Taiwan

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