Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    2010, Vol. 22 Issue (2) : 59-62     DOI: 10.6046/gtzyyg.2010.02.13
Technology Application |
The Remote Sensing Information Extraction Method Based on Vegetation Coverage
 LI Li, TONG Li-Qiang, LI Xiao-Hui
China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China
Download: PDF(1116 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

With Multinational Autonomous County of Longlin in Yunnan Province as the study area and on the basis of previous studies, this paper has proposed the utilization of the remote sensing information extraction method based on vegetation coverage through interactive interpretation of CBERS-02B multi-spectral data. The purpose lies in eliminating non-rocky desertification areas in the image such as the shadow, water area, bare soil and arable land so as to obtain the current distribution of rocky desertification in the study area. The method has been proved to be effective in extracting the distribution of rocky desertification in the study area, with no need of calculating and estimating such complicated parameters as the leaf area index.

Keywords Urban land-use change      Environmental effect      Wuxi city     
Issue Date: 29 June 2010
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
Cite this article:   
LI Li, TONG Li-Qiang, LI Xiao-Hui. The Remote Sensing Information Extraction Method Based on Vegetation Coverage[J]. REMOTE SENSING FOR LAND & RESOURCES,2010, 22(2): 59-62.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.02.13     OR     https://www.gtzyyg.com/EN/Y2010/V22/I2/59
[1] FANG Xuejuan, DING Lei, ZHANG Zhi. An analysis of distribution characteristics and environmental effect of small tailing ponds in Chengui town, Daye[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(1): 155-159.
[2] TANG Jun-you, YANG Shan, ZHAO Rui. RESEARCHES ON THE ENVIRONMENTAL EFFECT OF URBAN LAND-USE CHANGE IN WUXI CITY[J]. REMOTE SENSING FOR LAND & RESOURCES, 2002, 14(3): 16-18.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech