Spatiotemporal Characteristics and Driving Factors of Land-Cover Change in the Heilongjiang (Amur) River Basin
文献类型：期刊论文
| 作者 | Jia, Shuzhen4; Yang, Yaping2,3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-08-01 |
| 卷号 | 15期号:15页码:3730 |
| 关键词 | land cover spatiotemporal patterns remote sensing the Heilongjiang (Amur) River Basin |
| DOI | 10.3390/rs15153730 |
| 文献子类 | Article |
| 英文摘要 | Monitoring land-use and land-cover change (LUCC) is extremely important in the sustainable development and management of terrestrial ecosystems. Taking the Heilongjiang (Amur) River Basin as the study area, this study aimed to identify the spatiotemporal characteristics of land cover at the entire basin and at the country levels of the three countries using the land-use change index, frequency statistics and land-cover change degree. The results showed that: (1) The LULC types were mainly forest land and grassland (accounting for nearly 83% in total) from 2001 to 2019. The main land-cover types in China, Russia and Mongolia were forest land, forest land and grassland, respectively. (2) The area of urban land, cropland and wetland increased significantly from 2001 to 2019, while the area of forest land and bare land decreased during this time. In general, the ecological environment has greatly improved over the last 19 years, although the relevant ecological restoration still needs to be further implemented. The findings can provide a scientific basis for ecological protection and sustainable development in the Heilongjiang (Amur) River Basin. The approaches here are also applicable to land-cover change research in other similar regions. |
| WOS关键词 | CLASSIFICATION ; DYNAMICS ; SYSTEM ; PROVINCE ; PRODUCT ; SCIENCE ; COUNTY |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:001046294700001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200883]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China 2.Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Shanxi Normal Univ, Sch Geog Sci, Taiyuan 030031, Peoples R China 4.Shaanxi Normal Univ, Sch Geog & Tourism, Xian 710119, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jia, Shuzhen,Yang, Yaping. Spatiotemporal Characteristics and Driving Factors of Land-Cover Change in the Heilongjiang (Amur) River Basin[J]. REMOTE SENSING,2023,15(15):3730. |
| APA | Jia, Shuzhen,&Yang, Yaping.(2023).Spatiotemporal Characteristics and Driving Factors of Land-Cover Change in the Heilongjiang (Amur) River Basin.REMOTE SENSING,15(15),3730. |
| MLA | Jia, Shuzhen,et al."Spatiotemporal Characteristics and Driving Factors of Land-Cover Change in the Heilongjiang (Amur) River Basin".REMOTE SENSING 15.15(2023):3730. |
入库方式： OAI收割
来源：地理科学与资源研究所
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