Land Cover Changing Pattern in Pre- and Post-Earthquake Affected Area from Remote Sensing Data: A Case of Lushan County, Sichuan Province
文献类型：期刊论文
| 作者 | Wang, Jun2; Wang, Zhihua1,3; Cheng, Hongbin2; Kang, Junmei2; Liu, Xiaoliang1,3 |
| 刊名 | LAND
 |
| 出版日期 | 2022-08-01 |
| 卷号 | 11期号:8页码:24 |
| 关键词 | extremely hard hit by earthquakes Lushan earthquake land cover time and space evolution |
| DOI | 10.3390/land11081205 |
| 通讯作者 | Wang, Zhihua(zhwang@lreis.ac.cn) |
| 英文摘要 | 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. |
| WOS关键词 | EARTHQUAKE-INDUCED LANDSLIDES ; 2008 WENCHUAN EARTHQUAKE ; GEO-HAZARDS ; VEGETATION ; RECONSTRUCTION ; RECOVERY |
| 资助项目 | National Key R&D Program of China[2021YFB3900501] ; National Natural Science Foundation of China[41901354] ; Innovation Project of LREIS[O88RAA01YA] ; Science and Technology Foundation of the Second Monitoring and Application Center, China Earthquake Administration[KJ20220104] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000846700400001 |
| 资助机构 | National Key R&D Program of China ; National Natural Science Foundation of China ; Innovation Project of LREIS ; Science and Technology Foundation of the Second Monitoring and Application Center, China Earthquake Administration |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/182044]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Zhihua |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.China Earthquake Adm, Monitoring & Applicat Ctr 2, Xian 710054, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Jun,Wang, Zhihua,Cheng, Hongbin,et al. Land Cover Changing Pattern in Pre- and Post-Earthquake Affected Area from Remote Sensing Data: A Case of Lushan County, Sichuan Province[J]. LAND,2022,11(8):24. |
| APA | Wang, Jun,Wang, Zhihua,Cheng, Hongbin,Kang, Junmei,&Liu, Xiaoliang.(2022).Land Cover Changing Pattern in Pre- and Post-Earthquake Affected Area from Remote Sensing Data: A Case of Lushan County, Sichuan Province.LAND,11(8),24. |
| MLA | Wang, Jun,et al."Land Cover Changing Pattern in Pre- and Post-Earthquake Affected Area from Remote Sensing Data: A Case of Lushan County, Sichuan Province".LAND 11.8(2022):24. |
入库方式： OAI收割
来源：地理科学与资源研究所
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