Forest Dynamic Monitoring by Remote Sensing from 2000 to 2015 in the Water Source Area of the South-to-North Water Diversion ProjectChinese Full TextEnglish Full Text (MT)
Gao Wenwen;Zeng Yuan;Liu Yu;Yi Haiyan;Wu Bingfang;Ju Hongbo;Research Institute of Forest Resource Information Techniques,CAF;State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences;Research Institute of Geographic Sciences and Natural Resources,Chinese Academy of Sciences;
Abstract: 【Objective】 Monitoring the spatial distribution pattern of forest in the water source area of the middle-route of the south-to-north water diversion project from 2000 to 2015 and studying the process mechanism of forest dynamic change provide a theoretical basis for forest ecosystem protection and water quality safety in the study area.【Method】Based on the 30 m resolution HJ-1 A/B CCD images（2010,2015） and Landsat TM images（2000）,the object-based decision tree classification method was used to o... More
Keywords：
forest; fractional vegetation cover; the middle-route of the south-to-north water diversion project; objectbased classification;
- Series：
(D) Agriculture
- Subject：
Forestry
- Classification Code：
S771.8
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