DocumentCode
2104011
Title
Monitoring forest dynamics using multi-sensor data in Northeastern China
Author
Sun, Guoqing ; Williams, Darrel ; Zhan, Xiwu ; Li, Zengyuan ; Masek, Jeffrey ; Ranson, K. Jon ; Rocchio, Laura
Author_Institution
Dept. of Geogr., Maryland Univ., College Park, MD, USA
Volume
2
fYear
2001
fDate
2001
Firstpage
768
Abstract
To monitor the dynamics of the forests in the vast Northeastern China region, we are developing an operational forest monitoring system using satellite remote sensing data. The major components of this system will include both standard and enhanced methodologies for forest cover mapping and change detection within a geographic information system (GIS) database. To rapidly assess forest conditions over the large geographical expanses in Northeast China, Moderate Resolution Imaging Spectroradiometer (MODIS) data are first used to detect areas of change at the macro scale. Once identified, fine resolution Landsat 7 ETM+, and SAR data, are used to generate fine resolution, micro-scale forest maps to characterize the nature/cause of the change(s). This paper describes the project and presents preliminary results in forest classification and change detection in this region
Keywords
forestry; geophysical techniques; remote sensing; remote sensing by radar; spaceborne radar; synthetic aperture radar; vegetation mapping; China; GIS; Landsat; MODIS; Moderate Resolution Imaging Spectroradiometer; SAR; change detection; classification; dynamics; forest; forest cover; forestry; geographic information system; geophysical measurement technique; multi sensor method; operational monitoring system; optical imaging; programme; project; radar remote sensing; remote sensing; satellite remote sensing; vegetation mapping; Fires; Forestry; Geographic Information Systems; Laser radar; MODIS; Remote monitoring; Remote sensing; Satellites; Spatial resolution; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location
Sydney, NSW
Print_ISBN
0-7803-7031-7
Type
conf
DOI
10.1109/IGARSS.2001.976630
Filename
976630
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