Ecological evaluation and planning of loess hilly semi-arid region: a case study on Dingxi Prefecture, China

Xianzhang Chen; Mingguo Ma; Youhua Ran; Lihong Wang; Wenjun Li; Feng Zhang

doi:10.1117/12.465531

14 July 2003 Ecological evaluation and planning of loess hilly semi-arid region - a case study on Dingxi Prefecture, China

Xianzhang Chen, Mingguo Ma, Youhua Ran, Lihong Wang, Wenjun Li, Feng Zhang

Author Affiliations +

Proceedings Volume 4890, Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land; (2003) https://doi.org/10.1117/12.465531
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

Environmental evaluation and planning is a hot point of the relative science research nowadays. So the work is carried out in the Dingxi prefecture, a typical loess gully-hilly region of the semi-arid regions. The AHP method is used to evaluate the characteristic, quality, and degree and potential in use of the regional ecological environment. Then some suggestion on the ecological renovating, restoring, and planning were presented. The factors were selected according to our data resources and the factors weight is defined. The results indicate that using AHP model, the environmental evaluation can be performed in the loess gully-hilly region in northwest of China. In the study area, the quality, and degree and potential in use is not so good in the most of the study area. On the bases of quality evaluation, the environmental planning was developed.

Citation Download Citation

Xianzhang Chen, Mingguo Ma, Youhua Ran, Lihong Wang, Wenjun Li, and Feng Zhang "Ecological evaluation and planning of loess hilly semi-arid region - a case study on Dingxi Prefecture, China", Proc. SPIE 4890, Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land, (14 July 2003); https://doi.org/10.1117/12.465531

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KEYWORDS

Agriculture

Environmental sensing

Climatology

Remote sensing

Data modeling

Earth observing sensors

Scientific research

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