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

fYear

2011

fDate

24-26 June 2011

Firstpage

8434

Lastpage

8437

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9172-8

Type

conf

DOI

10.1109/RSETE.2011.5964125

Filename

5964125