DocumentCode
2133279
Title
Theory and methodology on monitoring and assessment of desertification by remote sensing
Author
Jianjun, Wu ; Hong, Xia ; Yani, Liu
Author_Institution
Coll. of Resources Sci. & Technol., Beijing Normal Univ., China
Volume
4
fYear
2004
fDate
20-24 Sept. 2004
Firstpage
2302
Abstract
Desertification, which is affecting more and more of the world, has been a major problem throughout the past decades in the north of China. Desertification and its spatio-temporal evolution information are very important to confirm stratagem and measure of desertification and implement macro-management effectively, which is helpful to promote environmental resources sustainable development. Remote sensing has been shown to be a powerful tool in monitoring and assessment desertification. This paper focuses on reviewing the theory and methodology of monitoring and assessment desertification by using high resolution remotely sensed data. On the basis of these theories and methods, the desertification in some counties at Hunshandake sandy desertification area was evaluated. The result indicates that quantitative monitoring and assessment of desertification in large area can be carried out by using high resolution remotely sensed image. It is vital to take reasonable estimation principle, establish scientific evaluation index and remotely sensed image interpreter symbol system, constitute feasible sand desertification classification project, and make use of appropriate interpreter means and technique routes. Compared with and the result from the low-resolution data, the evaluation to this method is more accurate, specific and valuable in application. The result of this method to evaluate regional desertification at Hunshandake desertification area indicates that, from 1970s, the acreage and proportion of the desertification at this area has augmented significantly, and the situation of sandy desertification is very serious.
Keywords
geomorphology; geophysical techniques; image resolution; remote sensing; soil; China; Hunshandake area; desertification; environmental resources sustainable development; image interpreter; quantitative monitoring; remote sensing; spatiotemporal evolution; Degradation; Educational institutions; Environmental management; Image resolution; Remote monitoring; Resource management; Soil; Spatiotemporal phenomena; Sustainable development; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN
0-7803-8742-2
Type
conf
DOI
10.1109/IGARSS.2004.1369746
Filename
1369746
Link To Document