DocumentCode
513515
Title
Remote sensing monitoring for vegetation change in mining area based on SPOT-VGT NDVI
Author
Ma Baodong ; Wu Lixin ; Liu Shanjun
Author_Institution
Inst. for Geoinformatics & Digital Mine Res., Northeastern Univ., Shenyang, China
Volume
3
fYear
2009
fDate
12-17 July 2009
Abstract
The environment and vegetation cover in mining area are influenced by the exploitation and utilization of mineral resources. It needs dynamic monitoring and estimation by the help of satellite remote sensing technology. Taking SPOT-VGT NDVI as information source and considering the characteristics of mining areas in China, this paper researched how to monitor the vegetation variation and desertification in mining area. The method includes the composition of time series data, the vegetation variation analysis and the gradation of desertification land. Concretely, the variation of NDVI is divided into 7 levels according to the slope of the fitted line by using NDVI time series data. Besides, the desertification land is divided into 5 levels according to the vegetation coverage, which is transformed from NDVI. The presented method was validated in Ningdong coal mining area, northwest China, and the results showed that the method is valid and effective.
Keywords
mining; time series; vegetation mapping; NDVI time series data; Ningdong coal mining area; SPOT-VGT NDVI; mineral resources; mining area desertification; mining area environment; mining area vegetation cover; northwest China; satellite remote sensing technology; vegetation change remote sensing monitoring; Charge-coupled image sensors; Disaster management; Environmental factors; Environmental management; Land surface; Protection; Remote monitoring; Satellites; Sensor phenomena and characterization; Vegetation mapping; SPOT-VGT NDVI; digital mine; dynamic monitoring; environment in mining area; vegetation coverage;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location
Cape Town
Print_ISBN
978-1-4244-3394-0
Electronic_ISBN
978-1-4244-3395-7
Type
conf
DOI
10.1109/IGARSS.2009.5418288
Filename
5418288
Link To Document