Special Section on Remote Sensing for Coupled Natural Systems and Built Environments

Trace forest conversions in Northeast China with a 1-km area percentage data model

[+] Author Affiliations
Xiangzheng Deng, Qun'ou Jiang, Hongbo Su, Feng Wu

Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, No 11A, Datun Road, Anwai, Beijing 100101 China

J. Appl. Remote Sens. 4(1), 041893 (August 31, 2010). doi:10.1117/1.3491193
History: Received March 30, 2010; Revised June 1, 2010; Accepted June 4, 2010; August 31, 2010; Online August 31, 2010
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Abstract

The purpose of this study is to examine the conversions of forests in Northeast China during 1988-2005 by using a 1-km area percentage data model (1-km APDM) with remote sensing data and to find the spatiotemporal characteristics of land conversions between forests and other land uses/covers and internal conversions between forest cover types. Data were derived from Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM) images of bands 3, 5, and 4 acquired in 1988, 1995, 2000, and 2005. Research results show that in the period between 1988 and 2005, the forest area in Northeast China underwent dramatic changes, and 4.11 million ha of forest area was aggregately lost because of the conversions of forests to other land uses/covers; at the same time, the forest area also gained 2.00 million ha because of the conversions from other land uses/covers to forests. The results also demonstrate the forest degradation resulting from the conversions between different forest cover types. This research demonstrates the feasibility and importance of using the 1-km APDM at a finer resolution to trace the spatiotemporal patterns of the forest conversions.

© 2010 Society of Photo-Optical Instrumentation Engineers

Topics

Data modeling

Citation

Xiangzheng Deng ; Qun'ou Jiang ; Hongbo Su and Feng Wu
"Trace forest conversions in Northeast China with a 1-km area percentage data model", J. Appl. Remote Sens. 4(1), 041893 (August 31, 2010). ; http://dx.doi.org/10.1117/1.3491193


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