Ecosystem mapping in mountainous areas by fusing multi-source data and the related knowledge

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 数字山地与遥感应用中心

	Ecosystem mapping in mountainous areas by fusing multi-source data and the related knowledge
	Lei, Guangbin1,2 ; Li, Ainong1 ; Tan, Jianbo1,2 ; Bian, Jinhu1,2 ; Zhao, Wei1
	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
内容类型	会议论文
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.