Remote sensing assessment and spatio-temporal analysis of the impact of land use changes on ecological quality based on PIE-Engine

doi:10.13474/j.cnki.11-2246.2024.0906

Abstract

Abstract: Aiming at the problems of ecological quality caused by land use changes in Lianxi District, this paper is based on the PIE-Engine Studio remote sensing cloud platform, using multi-temporal satellite data combined with three surveys data to deeply analyze the characteristics of the spatial and temporal evolution of land cover and ecological environment and its driving factors from 2008 to 2023 on the basis of land use/cover changes. The results show that: ①The overall ecological quality of Lianxi District has improved during this period, especially on the excellent ecological quality grade (0.8～1.0), and the area and proportion of the transformation of cropland to grassland have increased significantly, but there are still local degradation phenomena. ②The area of good grade (0.6～0.8) has decreased, which may be due to the decrease of ecological quality caused by the increase of building land in certain areas. Strengthening ecological protection and restoration through the implementation of effective land management can further improve the quality of the ecological environment.

Key words: PIE-Engine Studio, land use and cover change, principal component analysis, remote sensing ecological index

CLC Number:

P237

LIU Heng, ZUO Tao, JIA Kang, CHAI Chengfu, LIU Yixuan, CHEN Hengheng. Remote sensing assessment and spatio-temporal analysis of the impact of land use changes on ecological quality based on PIE-Engine[J]. Bulletin of Surveying and Mapping, 2024, 0(9): 28-31,37.

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