Analysis of Roadside Land Use Changes and Landscape Ecological Risk Assessment Based on GF-1: A Case Study of the Linghua Expressway

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(2), P. 211 - 211

Published: Jan. 8, 2025

The rapid construction of expressways in China has brought significant economic and social benefits, but it also imposed substantial ecological pressures, particularly sensitive regions. Landscape risk assessment, as an important means to predict measure the adverse effects human activities on environment, is being paid more attention. However, most studies focus static landscape mosaic pattern lack dynamic analysis. Moreover, they mainly effect road operation stage, ignoring monitoring analysis whole process. Based this, current study examines land use changes along Linghua Expressway Gansu Province using high-resolution GF-1 remote sensing imagery. A assessment (LERA) model was employed quantify assess risks before after expressway between 2018 2022. results revealed a decrease cropland forest land, accompanied by increase grassland areas. index decreased from 0.318 0.174 2022, indicating improvement resilience. high-risk zones remain near expressway, emphasizing need for continuous proactive management strategies. These findings contribute sustainable infrastructure planning, ecologically

Language: Английский

Evaluation of the effect of ecological restoration in mineral resource cities and analysis of driving factors

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 25, 2025

Language: Английский

A Comprehensive Evaluation of Land Reclamation Effectiveness in Mining Areas: An Integrated Assessment of Soil, Vegetation, and Ecological Conditions

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(10), P. 1744 - 1744

Published: May 16, 2025

Land reclamation is crucial for restoring ecosystems in mining areas, improving land use efficiency, and promoting sustainable regional development. Traditional single-indicator assessments fail to capture the full complexity of reclamation, highlighting need a more comprehensive evaluation approach. This study combines field-measured remote sensing data develop multiple indices, creating framework assess effectiveness. A soil quality index based on Minimum Data Set (SQIMDS) was developed analyze spatial variations quality, efficiently capturing key attributes. Remote were used calculate Dump Reclamation Disturbance Index (DRDI) Enhanced Coal Dust (ECDI) evaluate vegetation recovery ecological improvements. The Comprehensive Evaluation Quality (CEQI) introduced, synthesizing soil, vegetation, conditions holistic assessment. Key findings include significant improvement over time, with MDS effectively variations; increased duration, though disparities observed; steadily improved, as evidenced by decline ECDI values reduced contamination; CEQI reflected overall improvements offers practical coal providing scientific support decision-making guiding effective strategies restoration management.

Language: Английский