Work

Spatiotemporal Change Detection of Ecological Quality and the Associated Influencing Factors in Yuzhou Mining Area With RSEIFE

Year: 2025

Type: article

Abstract: With the increasing attention to the construction of ecological civilization, sustainable development has been upgraded to green development, and the problem of ecological deterioration has been solved from the source of resource utilization. Ecological quality and its potential influencing factors are important elements of ecological security in Yuzhou mining area. In this work, we examined the geographical and temporal variations of ecological environmental quality within the Yuzhou Mining region using the Remote Sensing Ecological Index considering Full Elements (RSEIFE). The method exploited Savitzky-Golay (SG) filtering (to smooth the four ecological index data), and the surface ecological effects of resource-based cities were evaluated using the entropy weight method and moving window technique. Our key findings include: a) the filtered ecological index time series curves effectively reduce the data noise and make the data set smoother; b) during mining time series monitoring, the mean RSEIFE values for five years were 0.56, 0.41, 0.44, 0.58, and 0.67, demonstrating an initial deterioration, subsequently followed by an enhancement in the ecological environmental condition; c) the dominant index impacting the ecological environment of the open-pit mine are LST (land surface temperature), and NDSBI (normalized difference built-up and bareness index); d) while open-pit mining activities adversely affect the ecological environment, restoration efforts significantly improve conditions in both the open-pit and its surrounding areas. This study offers a quantitative method for monitoring the ecological environmental quality of resource-based cities and provides essential scientific data for the ecological environment restoration of mining areas and their surroundings.

Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DOI: 10.1109/jstars.2025.3575810

Authors: Jiao Pan, Ziwei Wang, Tao Chen, Kun Jia, Antonio Plaza

Institutions: China University of Geosciences, Beijing Normal University, Universidad de Extremadura

Language: English

Topic: Environmental Changes in China

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDGs: Life on land, Clean water and sanitation

Open Access status: gold

Estimated APC paid: $1,800