LAND COVER MAPPING, CHANGE DETECTION AND ITS DRIVING FORCES QUANTIFYING IN THE SOUTHWESTERN CHINA FROM 1990 TO 2010 | |
Li Ainong; Lei Guangbin; Bian Jinhu; Zhang Zhengjian | |
2016 | |
会议日期 | JUL 10-15, 2016 |
会议地点 | Beijing |
关键词 | Land cover change Spatial pattern Driving factors Southwestern China Remote sensing |
DOI | 10.1109/IGARSS.2016.7730418 |
页码 | 5445-5448 |
国家 | PEOPLES R CHINA |
英文摘要 | Land cover change is one of the most important and easily detectable indicator for various changes happened on the Earth's surface, and is also closely related to global climate, biodiversity, food and fiber demand, and other critical environmental and ecosystem services. Supported by the Carbon Special Program and the Ecological Decade Program, the spatial patterns of land cover changes and its driving forces were investigated in Southwestern China from 1990 to 2010 in this paper. The residential land expansion, croplands lost, plateau lake extension and shrinkage, forests recovery and increasing rubber and orchard plantations are the general characteristics of land cover changes in Southwestern China. National macro-policies (such as Western Development Strategy and Ecological Protection Projects), urbanization, rural labors transfer, hydropower development, climate change and natural disasters are the main driving forces for land cover changes in this region over the last two decades. |
产权排序 | 1 |
会议录 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
会议录出版者 | IEEE |
会议录出版地 | NEW YORK |
语种 | 英语 |
ISSN号 | 2153-6996 |
ISBN号 | 978-1-5090-3332-4 |
WOS记录号 | WOS:000388114605094 |
内容类型 | 会议论文 |
源URL | [http://ir.imde.ac.cn/handle/131551/35223] |
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 |
通讯作者 | Li Ainong |
作者单位 | Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China |
推荐引用方式 GB/T 7714 | Li Ainong,Lei Guangbin,Bian Jinhu,et al. LAND COVER MAPPING, CHANGE DETECTION AND ITS DRIVING FORCES QUANTIFYING IN THE SOUTHWESTERN CHINA FROM 1990 TO 2010[C]. 见:. Beijing. JUL 10-15, 2016. |
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