Multi-faceted land cover and land use change analyses in the Yellow River Basin based on dense Landsat time series: Exemplary analysis in mining, agriculture, forest, and urban areas
文献类型：期刊论文
| 作者 | Wohlfart, Christian1,2; Mack, Benjamin2; Liu, Gaohuan3 ; Kuenzer, Claudia2
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| 刊名 | APPLIED GEOGRAPHY
 |
| 出版日期 | 2017-08-01 |
| 卷号 | 85页码:73-88 |
| 关键词 | Global change Land cover change Time-series Remote sensing Spectral-temporal metrics Stable pixels China |
| ISSN号 | 0143-6228 |
| DOI | 10.1016/j.apgeog.2017.06.004 |
| 通讯作者 | Wohlfart, Christian(christian.wohlfart@remote-sensing-biodiversity.org) |
| 英文摘要 | The Yellow River Basin is one of China's most dynamic regions, where past and recent anthropogenic land use activities and polices have had a remarkably impact on the basin's surface. Over the past decades, the rapid socio-economic development has increased the pressure on the prevailing water and land resources with various repercussions on the environment and society. Counteracting ecological degradation in the basin, large-scale conservation and restoration plans have been initiated to expand vegetation coverage on deteriorated land, simultaneously fostering rural sustainable agriculture production. In this context, we derived precise spatial thematic products from long-term satellite time series about high-frequency temporal dynamics. This information, available in a consistent and repeatable fashion is rare and relevant for many regional and local stakeholders and must be monitored annually to capture the rapid rate of change. Such information serves as a valuable base for decision making processes. In this study, we used all the archived Landsat images between 2000 and 2015 (4520 scenes) to computed annually the spatially continuous spectral-temporal and textual metrics based on dense Landsat time-series to derive annual maps showing the most prominent land-cover change types related to mining, agriculture, forestry, and urbanization in four sub-regions spread over the Yellow River Basin. These novel land cover/use products provide new insights into recent regional and local dynamics. For final classification, we employed random forest classifiers for each thematic focus-region, trained and tested based on a stable-pixels data set. The resulting maps achieved high accuracies and show afforestation on the Loess Plateau and urbanization as the most prominent drivers of land use/cover dynamics. Agricultural land remained stable, showing local small-scale dynamics. Our study highlights the great potential of using consistent spectral-temporal metrics derived from dense Landsat time-series data together with a stable pixels reference set, allowing for local and regional land surface dynamics mapping at high spatial resolution and the prediction of implications of future change for effective and sustainable basin management. (C) 2017 Elsevier Ltd. All rights reserved. |
| WOS关键词 | HETAO IRRIGATION DISTRICT ; VIRTUAL WATER FLOWS ; LOESS PLATEAU ; CONVERSION PROGRAM ; POLICY REFORMS ; CHINA ADVANCES ; GREEN PROJECT ; SOURCE REGION ; GLOBAL CHANGE ; CLOUD SHADOW |
| 资助项目 | German Federal Ministry of Education and Research, BMBF[02WCL1249] ; International Science & Technology Cooperation Program of China[2012DFG22050] |
| WOS研究方向 | Geography |
| 语种 | 英语 |
| WOS记录号 | WOS:000407525200007 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | German Federal Ministry of Education and Research, BMBF ; International Science & Technology Cooperation Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/61413]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wohlfart, Christian |
| 作者单位 | 1.Co Remote Sensing & Environm Res SLU, Kohlsteiner Str 5, D-81243 Munich, Germany 2.German Aerosp Ctr DLR, German Remote Sensing Data Ctr DFD, EOC, Muencher Str 20, D-82234 Oberpfaffenhofen, Germany 3.Chinese Acad Sci, IGSNRR, State Key Lab Resources & Environm Informat Syst, 11A Da Tun Rd, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wohlfart, Christian,Mack, Benjamin,Liu, Gaohuan,et al. Multi-faceted land cover and land use change analyses in the Yellow River Basin based on dense Landsat time series: Exemplary analysis in mining, agriculture, forest, and urban areas[J]. APPLIED GEOGRAPHY,2017,85:73-88. |
| APA | Wohlfart, Christian,Mack, Benjamin,Liu, Gaohuan,&Kuenzer, Claudia.(2017).Multi-faceted land cover and land use change analyses in the Yellow River Basin based on dense Landsat time series: Exemplary analysis in mining, agriculture, forest, and urban areas.APPLIED GEOGRAPHY,85,73-88. |
| MLA | Wohlfart, Christian,et al."Multi-faceted land cover and land use change analyses in the Yellow River Basin based on dense Landsat time series: Exemplary analysis in mining, agriculture, forest, and urban areas".APPLIED GEOGRAPHY 85(2017):73-88. |
入库方式： OAI收割
来源：地理科学与资源研究所
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