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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 内容类型：会议论文    专题：成都山地灾害与环境研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Establish IUCN Red List of Ecosystems in Southwestern China Based on Remote Sensing Data 会议论文 IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, July 10-15 作者:  Tan Jianbo;  Li Ainong;  Lei Guangbin 收藏  |  浏览/下载：21/0  |  提交时间：2016/11/29 Southwestern China  IUCN Red list of ecosystem  biodiversity  remote sensing   Land Cover Mapping, Change Detection and Its Driving Forces Quantifying in the Southwestern China from 1990 to 2010 会议论文 IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, July 10-15 作者:  Li Ainong;  Lei Guangbin;  Bian Jinhu;  Zhang Zhengjian 收藏  |  浏览/下载：17/0  |  提交时间：2016/11/26 Remote sensing  Land cover change  Spatial pattern  Driving factors  Southwestern China   Ecosystem mapping in mountainous areas by fusing multi-source data and the related knowledge 会议论文 2016 IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, July10-15, 2016 作者:  Lei, Guangbin;  Li, Ainong;  Tan, Jianbo;  Bian, Jinhu;  Zhao, Wei 收藏  |  浏览/下载：24/0  |  提交时间：2016/11/29 Ecosystem mapping  Multi-source data fusion  Land cover map  Vegetation map  Spatial distribution knowledge  Spatial distance decay  Remote sensing   ECOSYSTEM MAPPING IN MOUNTAINOUS AREAS BY FUSING MULTI-SOURCE DATA AND THE RELATED KNOWLEDGE 会议论文 Beijing, JUL 10-15, 2016 作者:  Lei Guangbin;  Li Ainong;  Tan Jianbo;  Bian Jinhu;  Zhao Wei 收藏  |  浏览/下载：1/0  |  提交时间：2020/08/20 Ecosystem mapping  Multi-source data fusion  Land cover map  Vegetation map  Spatial distribution knowledge  Spatial distance decay  Remote sensing   LAND COVER MAPPING, CHANGE DETECTION AND ITS DRIVING FORCES QUANTIFYING IN THE SOUTHWESTERN CHINA FROM 1990 TO 2010 会议论文 Beijing, JUL 10-15, 2016 作者:  Li Ainong;  Lei Guangbin;  Bian Jinhu;  Zhang Zhengjian 收藏  |  浏览/下载：2/0  |  提交时间：2020/08/20 Land cover change  Spatial pattern  Driving factors  Southwestern China  Remote sensing