An effective low cost remote sensing approach to reconstruct the long term and dense time series of area and storage variations for super large lakes

An effective low cost remote sensing approach to reconstruct the long term and dense time series of area and storage variations for super large lakes

论文摘要

<正>Inland lakes are essential components of hydrological and biogeochemical water cycles,as well as indispensable water resources for human beings.To derive the long-term and continuous trajectory of lake inundation area changes is increasingly significant to understand how they function in the global water cycle and how they are impacted by

论文目录

文章来源

类型: 国内会议

作者: Shuang xiao Luo,宋春桥,刘凯,柯灵红

来源: 2019年中国地球科学联合学术年会 2019-10-27

年度: 2019

分类: 基础科学

专业: 自然地理学和测绘学,地球物理学

单位: Nanjing Institute of Geography and Limnology Chinese Academy of Sciences,University of Chinese Academy of Sciences,Hohai University

分类号: P237;P343.3

DOI: 10.26914/c.cnkihy.2019.062232

页码: 17

总页数: 1

文件大小: 252k

下载量: 11

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An effective low cost remote sensing approach to reconstruct the long term and dense time series of area and storage variations for super large lakes
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