Research on remote sensing spatial differentiation and main control factors of land ecological quality: taking Guang'an city as an example

doi:10.13474/j.cnki.11-2246.2020.0291

Abstract

Abstract: In this paper, taking Guang'an city as the research area, based on remote sensing data sources, taking kilometers grid as the evaluation unit, and based on the ideal point model, the evaluation indicators are constructed from the 4 criteria layer 14 evaluation indicators of ecological background, ecological structure, ecological benefits and ecological threat. The system uses Delphi method (subjective method) and entropy weight method (objective method) to calculate the weight value of each evaluation index. Then the land ecological quality is graded according to the result of ideal point model calculation, and the main control land ecological quality is extracted. According to the hot factors of spot model, the relationship between the spatial differentiation rule of land ecological quality and the main control factor is analyzed, and the comprehensive evaluation of land ecological quality in Guang'an city in 2000, 2005, 2010, and 2015 is carried out. It Provides effective suggestions for land ecological quality supervision for the land remediation department finally.

Key words: land ecological quality, ecological evaluation indicators, main control factor, hot spot analysis, principal component analysis

CLC Number:

CHEN Zhen, LI Shaoshuai, CHEN Jianping. Research on remote sensing spatial differentiation and main control factors of land ecological quality: taking Guang'an city as an example[J]. Bulletin of Surveying and Mapping, 2020, 0(9): 94-99.

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