Title :
Remote sensing dynamic monitoring Of grassland desertification in Si zang county
Author :
Duan, Yingjie ; He, Zhengwei ; Liu, Jinbao ; Chen, Jun ; Lu, Hanyu
Author_Institution :
Key Lab. of Eearth Exploration & Inf. Tech. of Minist. of Educ., Chengdu Univ. of Technol., Chengdu, China
Abstract :
Supervised classification, visual modification and decision tree classification method was used in the research on grassland desertification in Shenzha county. The classification results were obtained through the 1990s and the 2000 TM/ETM remote sensing image, and the author carried out overlay analysis, extracted change information. The research shows that ShenZha county grassland desertification has overall expanding tendency, and serious desertification area increased considerably, mild and moderate desertification area somewhat reduced, grassland area decreased, and in the end, the author analyzed why the results were produced.
Keywords :
decision trees; environmental monitoring (geophysics); environmental science computing; geophysical image processing; image classification; vegetation mapping; China; Shenzha county; Si Zang county; TM-ETM remote sensing images; change information; decision tree classification; grassland desertification dynamic monitoring; overlay analysis; supervised classification; visual modification; Dynamics; Meteorology; Monitoring; Remote sensing; Rivers; Soil; Vegetation mapping; Desertification; Dynamic analysis; TM/ETM;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5964125
