Ecosystem mapping in mountainous areas by fusing multi-source data and the related knowledge
文献类型：会议论文
| 作者 | Lei, Guangbin1,2 ; Li, Ainong1; Tan, Jianbo1,2; Bian, Jinhu1,2; Zhao, Wei1
|
| 出版日期 | 2016 |
| 会议名称 | 2016 IEEE International Geoscience and Remote Sensing Symposium |
| 会议日期 | July10-15, 2016 |
| 会议地点 | Beijing, China |
| 关键词 | Ecosystem mapping Multi-source data fusion Land cover map Vegetation map Spatial distribution knowledge Spatial distance decay Remote sensing |
| 页码 | 1344-1347 |
| 通讯作者 | Li, Ainong |
| 英文摘要 | Mapping and modeling the complex ecosystems and their changes over time are key issues in spatial ecology, biogeography, ecosystem ecology and biodiversity researches. This paper attempts to propose a simple, practical and automatic method to produce the ecosystem map in mountainous areas by fusing multi-source data and the related knowledge. The multi-source data included the 30mresolution land cover map and the vegetation map of China (1:1 000 000). Three fusion strategies were contained in the proposed approach: hard matching, buffer matching and merged categories matching. Meanwhile, the related spatial distribution knowledge and the law of spatial distance decay were used to determine the optimal vegetation type, when more than two vegetation types are matched simultaneously. Taking the Southwestern China as study area, a new 30mresolution ecosystem map with 144 ecosystem types was generated by the proposed method, which was used to establish the red list of ecosystems and evaluate the condition of biodiversity in the White Paper: China’s Biodiversity. |
| 收录类别 | EI |
| 会议主办者 | IEEE Geoscience & Remote Sensing Society |
| 会议录 | IGARSS 2016 Proceedings
 |
| 语种 | 英语 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/17786]  |
| 专题 | 成都山地灾害与环境研究所_数字山地与遥感应用中心 |
| 作者单位 | 1.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | Lei, Guangbin,Li, Ainong,Tan, Jianbo,et al. Ecosystem mapping in mountainous areas by fusing multi-source data and the related knowledge[C]. 见:2016 IEEE International Geoscience and Remote Sensing Symposium. Beijing, China. July10-15, 2016. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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