Eco-environment quality evaluation based on remote sensing over Qingjiang, Hubei Province

Yan Sun; Cheng Wang; Lijun Li; Shanzhen Yi

doi:10.1117/12.807093

2 February 2009 Eco-environment quality evaluation based on remote sensing over Qingjiang, Hubei Province

Yan Sun, Cheng Wang, Lijun Li, Shanzhen Yi

Proceedings Volume 7157, 2008 International Conference on Optical Instruments and Technology: Advanced Sensor Technologies and Applications; 715713 (2009) https://doi.org/10.1117/12.807093
Event: International Conference of Optical Instrument and Technology, 2008, Beijing, China

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%.

Citation Download Citation

Yan Sun, Cheng Wang, Lijun Li, and Shanzhen Yi "Eco-environment quality evaluation based on remote sensing over Qingjiang, Hubei Province", Proc. SPIE 7157, 2008 International Conference on Optical Instruments and Technology: Advanced Sensor Technologies and Applications, 715713 (2 February 2009); https://doi.org/10.1117/12.807093

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KEYWORDS

Vegetation

Remote sensing

Principal component analysis

Near infrared

Reflectivity

Soil science

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