Evaluating ecological environment based on remote sensing ecological index in Shenfu mining area

doi:10.13474/j.cnki.11-2246.2021.0203

Abstract

Abstract: Monitoring and evaluating the ecological environment with the help of remote sensing technology is of great significance for the sustainable development of mining area. In this paper, an improved scheme of remote sensing ecological index (RSEI) is proposed. Based on the original model which contains four ecological indexes (NDVI, WET, LST, NDSI), the net primary productivity (NPP) of vegetation is introduced to characterize the ecosystem function of mining area. The ecological environment of the mining area is evaluated and analyzed by every single ecological index using the five ecological indexes. Using the improved remote sensing ecological index, the ecological environment changes of Shenfu mining area from 2000 to 2016 are evaluated. The evaluation results show that the remote sensing ecological index of Shenfu mining area shows an overall upward trend from 2000 to 2016 (0.1/10 a), and the vegetation productivity in most areas increases gradually, which means that the ecosystem function recovers gradually, and the ecological environment quality improves gradually.

Key words: RSEI, mining area, ecological environment, evaluation

CLC Number:

P237

FAN Deqin, QIU Yue, SUN Wenbin, ZHAO Xuesheng, MAI Xiamei, HU Yingwen. Evaluating ecological environment based on remote sensing ecological index in Shenfu mining area[J]. Bulletin of Surveying and Mapping, 2021, 0(7): 23-28.

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