Characterizing and monitoring land cover and land use change using long-term remote sensing information: 2

Type: Paper
Theme:
Sponsor Groups: Remote Sensing Specialty Group, Geographic Information Science and Systems Specialty Group, Urban Geography Specialty Group
Poster #:
Day: 4/13/2018
Start / End Time: 3:20 PM / 5:00 PM (MDT)
Room: Estherwood, Sheraton, 4th Floor
Organizers: Xiaoyang Zhang, George Xian
Chairs: Xiaoyang Zhang

Description

Recent advances in remote sensing and computer technology have facilitated our use of large volumes of satellite imagery for conducting land cover and land use change assessments in a large geographic area across time. In particular, Landsat data acquired over the past four decades (1972 to present) and MODIS observations over eighteen years (1999 to present) have provided us with unprecedented opportunities to improve our understanding of dynamic earth system processes and the interactions between human and natural systems. To address these processes properly, we need to develop better analysis strategies to identify characterize and quantify changes in land cover and land use and associated ecosystem conditions. Indeed, satellite data from the past several decades provide detailed quantitative information that has shown great advantages of assessing and monitoring land cover and land use change. The use of these data sets and development of innovative data processing algorithms will help to advance our scientific understanding of various dynamic processes including types, trends, magnitudes, causes, and consequences of land change. Therefore, this session invites papers focusing on both research methodology and applications for using remotely-sensed data sets to characterize land cover and land use change across large geographical areas. Potential session topics include, but are not limited to:

(1) Image characterization of land cover
(2) Time series of satellite images for monitoring and assessing land-cover and land-use change
(3) Long-term change in ecosystem conditions
(4) Potential causes of land cover change
(5) Ecosystem response to the climate variation in arid and semi-arid environments
(6) Societal adaptations to climate change and modification of land use patterns

To present a paper in the session, please (1) register and submit your abstract through AAG, and (2) send your personal identification number (PIN), paper title, and abstract to xian@usgs.gov or xiaoyang_zhang@sdstate.edu by October 25, 2017.

Organizer:
Dr. George Xian
USGS Earth Resources Observation and Science Center
Sioux Falls, South Dakota
E-mail: xian@usgs.gov

Dr. Xiaoyang Zhang
Geospatial Sciences Center of Excellence
South Dakota State University
Brookings, South Dakota


Agenda

Type Details Minutes Start Time
Presenter Bingqing Liang*, University of Northern Iowa, A statistical Analysis of MODIS Land Products for the US Corn Belt States in 2005-2015 20 3:20 PM
Presenter Tina Delahunty*, Bloomsburg University: Dept. of Environmental, Geographical, and Geological Sciences, Amber L. Pitt, Trinity College: Environmental Science Program and Dept. of Biology, Jamie Shinskie, National Park Service, Effectiveness of the National Land Cover Dataset for Reach-Scale Wetland Presence and Canopy Quantification 20 3:40 PM
Presenter Augustine Avwunudiogba, Department of Anthropology, Geography and Ethnic Studies California State University, Stanislaus, Elisha Dung*, Dept. of Criminal Justice and Social Sciens, Alabama State University, Montgomery, AL 36104, Land Use and Land Cover Mapping of the Lower Niger Floodplain (Nigeria) Using Landsat Optical Land Imager (OLI) Data and Field Survey 20 4:00 PM
Presenter Christopher P Barber*, ASRC Federal InuTeq, Contractor to USGS Earth Resources Observation and Science (EROS) Center, Recent Developments in the USGS Land Change Monitoring, Assessment, and Projection (LCMAP) Project 20 4:20 PM
Presenter George Xian*, USGS EROS Data Center, Characterization of Decadal Urban Land Cover Variations from National Land Cover Product 20 4:40 PM

To access contact information login