Analysis of Roadside Land Use Changes and Landscape Ecological Risk Assessment Based on GF-1: A Case Study of the Linghua Expressway
The rapid construction of expressways in China has brought significant economic and social benefits, but it has also imposed substantial ecological pressures, particularly in sensitive regions. Landscape ecological risk assessment, as an important means to predict and measure the adverse effects of...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/2/211 |
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| author | Mengdi Wen Liangliang Zhang Huawei Wan Peirong Shi Longhui Lu Zixin Zhao Zhiru Zhang Jinhui Wu |
| author_facet | Mengdi Wen Liangliang Zhang Huawei Wan Peirong Shi Longhui Lu Zixin Zhao Zhiru Zhang Jinhui Wu |
| author_sort | Mengdi Wen |
| collection | DOAJ |
| description | The rapid construction of expressways in China has brought significant economic and social benefits, but it has also imposed substantial ecological pressures, particularly in sensitive regions. Landscape ecological risk assessment, as an important means to predict and measure the adverse effects of human activities on the ecological environment, is being paid more and more attention. However, most studies focus on the static landscape mosaic pattern and lack dynamic analysis. Moreover, they mainly focus on the ecological effect of the road operation stage, ignoring the monitoring and analysis of the whole construction process. Based on this, the current study examines the landscape ecological risk and land use changes along the Linghua Expressway in Gansu Province using high-resolution GF-1 remote sensing imagery. A landscape ecological risk assessment (LERA) model was employed to quantify the land use changes and assess the ecological risks before and after the expressway construction between 2018 and 2022. The results revealed a decrease in cropland and forest land, accompanied by an increase in the grassland and road areas. The landscape ecological risk index decreased from 0.318 in 2018 to 0.174 in 2022, indicating an improvement in ecological resilience. However, high-risk zones remain near the expressway, emphasizing the need for continuous monitoring and proactive ecological management strategies. These findings contribute to sustainable infrastructure planning, particularly in ecologically sensitive regions. |
| format | Article |
| id | doaj-art-73e9108cc09d41489a7c2ef30f4fe488 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-73e9108cc09d41489a7c2ef30f4fe4882025-01-24T13:47:44ZengMDPI AGRemote Sensing2072-42922025-01-0117221110.3390/rs17020211Analysis of Roadside Land Use Changes and Landscape Ecological Risk Assessment Based on GF-1: A Case Study of the Linghua ExpresswayMengdi Wen0Liangliang Zhang1Huawei Wan2Peirong Shi3Longhui Lu4Zixin Zhao5Zhiru Zhang6Jinhui Wu7Satellite Environmental Application Center of Ministry of Ecology and Environment, Beijing 100094, ChinaChina Institute of Geo-Environment Monitoring, China Geological Survey, Beijing 100081, ChinaSatellite Environmental Application Center of Ministry of Ecology and Environment, Beijing 100094, ChinaSatellite Environmental Application Center of Ministry of Ecology and Environment, Beijing 100094, ChinaSatellite Environmental Application Center of Ministry of Ecology and Environment, Beijing 100094, ChinaChina Institute of Geo-Environment Monitoring, China Geological Survey, Beijing 100081, ChinaSatellite Environmental Application Center of Ministry of Ecology and Environment, Beijing 100094, ChinaChina Institute of Geo-Environment Monitoring, China Geological Survey, Beijing 100081, ChinaThe rapid construction of expressways in China has brought significant economic and social benefits, but it has also imposed substantial ecological pressures, particularly in sensitive regions. Landscape ecological risk assessment, as an important means to predict and measure the adverse effects of human activities on the ecological environment, is being paid more and more attention. However, most studies focus on the static landscape mosaic pattern and lack dynamic analysis. Moreover, they mainly focus on the ecological effect of the road operation stage, ignoring the monitoring and analysis of the whole construction process. Based on this, the current study examines the landscape ecological risk and land use changes along the Linghua Expressway in Gansu Province using high-resolution GF-1 remote sensing imagery. A landscape ecological risk assessment (LERA) model was employed to quantify the land use changes and assess the ecological risks before and after the expressway construction between 2018 and 2022. The results revealed a decrease in cropland and forest land, accompanied by an increase in the grassland and road areas. The landscape ecological risk index decreased from 0.318 in 2018 to 0.174 in 2022, indicating an improvement in ecological resilience. However, high-risk zones remain near the expressway, emphasizing the need for continuous monitoring and proactive ecological management strategies. These findings contribute to sustainable infrastructure planning, particularly in ecologically sensitive regions.https://www.mdpi.com/2072-4292/17/2/211landscape ecological riskremote sensing (RS)land use changeGF-1 satellite imageryinfrastructure impact assessment |
| spellingShingle | Mengdi Wen Liangliang Zhang Huawei Wan Peirong Shi Longhui Lu Zixin Zhao Zhiru Zhang Jinhui Wu Analysis of Roadside Land Use Changes and Landscape Ecological Risk Assessment Based on GF-1: A Case Study of the Linghua Expressway Remote Sensing landscape ecological risk remote sensing (RS) land use change GF-1 satellite imagery infrastructure impact assessment |
| title | Analysis of Roadside Land Use Changes and Landscape Ecological Risk Assessment Based on GF-1: A Case Study of the Linghua Expressway |
| title_full | Analysis of Roadside Land Use Changes and Landscape Ecological Risk Assessment Based on GF-1: A Case Study of the Linghua Expressway |
| title_fullStr | Analysis of Roadside Land Use Changes and Landscape Ecological Risk Assessment Based on GF-1: A Case Study of the Linghua Expressway |
| title_full_unstemmed | Analysis of Roadside Land Use Changes and Landscape Ecological Risk Assessment Based on GF-1: A Case Study of the Linghua Expressway |
| title_short | Analysis of Roadside Land Use Changes and Landscape Ecological Risk Assessment Based on GF-1: A Case Study of the Linghua Expressway |
| title_sort | analysis of roadside land use changes and landscape ecological risk assessment based on gf 1 a case study of the linghua expressway |
| topic | landscape ecological risk remote sensing (RS) land use change GF-1 satellite imagery infrastructure impact assessment |
| url | https://www.mdpi.com/2072-4292/17/2/211 |
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