Monitoring the riparian vegetation cover after the Wenchuan earthquake along the Minjiang River valley based on multi-temporal Landsat TM images：a case study of the Yingxiu-Wenchuan section

许积层,; 唐斌,; 卢涛,

doi:10.5846/stxb201206300918

Cited by 5 publications

(1 citation statement)

References 6 publications

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“…Research on land cover change and restoration in earthquake-affected areas is of great scientific significance for the restoration and reconstruction of natural ecosystems, the construction of human settlements and the sustainable socio-economic development of the affected areas [10]. Ecosystem change can be measured by land cover spatial-temporal evolution and landscape pattern, which are two key indicators for dynamic monitoring of post-disaster ecological restoration [11,12]. Therefore, when analyzing the amount of damage caused by disasters and how the physical characteristics of the region change over time, it is necessary to accurately monitor the change in land cover, which can provide a more scientifically sound basis for post-disaster land cover.…”

Section: Introductionmentioning

confidence: 99%

Land Cover Changing Pattern in Pre- and Post-Earthquake Affected Area from Remote Sensing Data: A Case of Lushan County, Sichuan Province

Wang

Cheng

et al. 2022

Land

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Extremely hard-hit areas face frequent secondary geological hazards and difficulties in vegetation recovery, and subsequent effects have a significant impact on land cover changes. At present, there is a lack of research on the dynamic restoration of, and changes in, the ecological environment before and after an earthquake, and especially a lack of quantitative assessment of the impact of earthquakes on land cover at the microscopic scale of spatial distribution of landscape indices. Taking the Lushan earthquake in Sichuan Province as an example, this paper obtained land cover data from the study area between 2012 and 2020, and analyzes the spatial distribution characteristics and influencing factors of land cover change frequency by using a comprehensive land cover degree index, land cover transfer matrix and landscape ecology index. The results show that the types of cropland, forest, built-up and bare land have changed significantly in the study area. During the earthquake recovery period, the comprehensive land cover index of the study area showed an increasing trend, and land cover has been continuously improved under the effect of artificial measures and natural restoration. After 2013, patch density (PD) and landscape shape index (LSI) values decreased and aggregation index (AI) values increased for the vast majority of landscape land classes, indicating a benign ecological development across the region in the post-earthquake period. The research results are not only helpful to establish scientific ecological environmental management in the earthquake-stricken areas, but also helpful to formulate medium- and long-term ecological environmental monitoring and ecological restoration plans based on land cover change patterns.

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Section: Introductionmentioning

confidence: 99%

Land Cover Changing Pattern in Pre- and Post-Earthquake Affected Area from Remote Sensing Data: A Case of Lushan County, Sichuan Province

Wang

Cheng

et al. 2022

Land

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Dynamic monitoring and analysis of the earthquake Worst-hit area based on remote sensing

Xiang

Deng

Duan

et al. 2022

Alexandria Engineering Journal

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Quantifying influences of natural factors on vegetation NDVI changes based on geographical detector in Sichuan, western China

Peng

Kuang

Tao

2019

Journal of Cleaner Production

254

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Monitoring the riparian vegetation cover after the Wenchuan earthquake along the Minjiang River valley based on multi-temporal Landsat TM images：a case study of the Yingxiu-Wenchuan section

Abstract: Xu J C,Tang B,Lu T. Monitoring the riparian vegetation cover after the Wenchuan earthquake along the Minjiang River valley based on multitemporal Landsat TM images: a case study of the Yingxiu鄄Wenchuan section. Acta Ecologica Sinica,2013,33(16) :4966鄄 4974.

Cited by 5 publications

References 6 publications

Land Cover Changing Pattern in Pre- and Post-Earthquake Affected Area from Remote Sensing Data: A Case of Lushan County, Sichuan Province

Land Cover Changing Pattern in Pre- and Post-Earthquake Affected Area from Remote Sensing Data: A Case of Lushan County, Sichuan Province

Dynamic monitoring and analysis of the earthquake Worst-hit area based on remote sensing

Quantifying influences of natural factors on vegetation NDVI changes based on geographical detector in Sichuan, western China

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