Share Email Print
cover

Proceedings Paper

Eco-environment quality evaluation based on remote sensing over Qingjiang, Hubei Province
Author(s): Yan Sun; Cheng Wang; Lijun Li; Shanzhen Yi
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The vegetation eco-environment is one of the import constituent elements for the human eco-environment. This article assesses the vegetation ecol-environment quality(VEQ) over part of the Qingjiang region by using TM remote sensing image and principal component analysis (PCA) method. There are various geographical and ecological features having effect on eco-environment of Qingjiang region, Hubei province. The paper gives an evaluation index system of VEQ by analyzing regional geographical and ecological features, which are composed of 5 factors on vegetation cover, topography & geomorphology, moisture, land cover and hydrothermal regime. These factors are extracted from the TM remote sensed data. The PCA method is used to calculate the weight of every index. Based on these indices, an integrated evaluation model of eco-environment quality is built. With the model, the study region is evaluated and divided into five VEQ evaluation classified ranks. It is concluded that the VEQ in our study region is good as a whole and the leading VEQ rank is II and III have occupied the proportion of 76.09%.

Paper Details

Date Published: 3 February 2009
PDF: 6 pages
Proc. SPIE 7157, 2008 International Conference on Optical Instruments and Technology: Advanced Sensor Technologies and Applications, 715713 (3 February 2009); doi: 10.1117/12.807093
Show Author Affiliations
Yan Sun, Huazhong Univ. of Science and Technology (China)
Cheng Wang, Huazhong Univ. of Science and Technology (China)
Lijun Li, Huazhong Univ. of Science and Technology (China)
Shanzhen Yi, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7157:
2008 International Conference on Optical Instruments and Technology: Advanced Sensor Technologies and Applications

© SPIE. Terms of Use
Back to Top