journal article·2024-09-30Open access

Remote Sensing Evaluation and Monitoring of Spatial and Temporal Changes in Ecological Environmental Quality in Coal Mining-Intensive Cities

Qiqi Huo, Xiaoqian Cheng, Weibing Du, Hao Zhang, Ruimei Han

Applied Sciences· Volume 14· Issue 19

Abstract

In coal-dependent urban economies, the dichotomy between resource exploitation and ecological conservation presents a pronounced challenge. Traditional remote sensing ecological assessments often overlook the interplay between mining activities and urban environmental dynamics. To address this gap, researchers developed an innovative Resource-Based City Ecological Index (RCEI), anchored in a Pressure–State–Response (PSR) framework and synthesized from six discrete ecological indicators. Utilizing geodetic remote sensing data, the RCEI facilitated a comprehensive spatiotemporal analysis of Jincheng City’s ecological quality from 1990 to 2022. The findings corroborated the RCEI’s efficacy in providing a nuanced portrayal of the ecological state within mining regions. (1) Jincheng City’s ecological quality predominantly sustained a mudhopper-tier status, exhibiting an overarching trend of amelioration throughout the study period. (2) Disparities in ecological landscape quality were pronounced at the county level, with Moran’s Index exceeding 0.9, signifying a clustered ecological quality pattern. High–high (H–H) zones were prevalent in areas of elevated altitude and dense vegetation, whereas low–low (L–L) zones were prevalent in urban and mining sectors. (3) Further, a buffer zone analysis of two coal mines, differing in their mining chronology, geographical positioning, and operational status, elucidated the ecological impact exerted over a 32-year trajectory. These insights furnish a robust scientific and technical foundation for resource-centric cities to fortify ecological safeguarding and to advance sustainable development stratagems.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Remote Sensing and Land Use · Land Use and Ecosystem Services · Remote Sensing in Agriculture

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China

Collaborative Innovation Center of Geo-Information Technology for Smart Central Plains, Zhengzhou 450052, China

Key Laboratory of Spatiotemporal Perception and Intelligent Processing, Ministry of Natural Resources, Zhengzhou 450052, China

School of Geography and Environmental Sciences, Hainan Normal University, Haikou 571158, China

Funding

National Natural Science Foundation of China · PI project of the Collaborative Innovation Center of Geoinformation Technology for Smart Central Plains · Doctoral Fund of Henan Polytechnic University · Initiation of Post-Doctoral Scientific Research Projects in Henan Province

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