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遥感结合地面观测估算陆地生态系统蒸散发研究综述
引用本文:鱼腾飞,冯起,司建华,席海洋,陈丽娟.遥感结合地面观测估算陆地生态系统蒸散发研究综述[J].地球科学进展,2011,26(12):1260-1268.
作者姓名:鱼腾飞  冯起  司建华  席海洋  陈丽娟
作者单位:1. 兰州大学西部环境与气候变化研究院,甘肃兰州,730000
2. 兰州大学西部环境与气候变化研究院,甘肃兰州730000/中国科学院寒区旱区环境与工程研究所阿拉善荒漠生态水文试验站,甘肃兰州730000
3. 中国科学院寒区旱区环境与工程研究所阿拉善荒漠生态水文试验站,甘肃兰州,730000
基金项目:国家自然科学基金重点项目,国家自然科学基金面上项目,0
摘    要:地面观测和遥感模拟作为陆地生态系统蒸散发研究的2种基本手段,有着各自的优缺点且存在互补性。因此,有效地将遥感和地面观测站点资料相结合,探讨陆地生态系统蒸散发的时空分布规律及不同尺度转换理论与方法,实现蒸散耗水地面观测结果的尺度扩展和生态需水量估算成为普遍关注的焦点。从遥感与地面观测结合确定陆地生态系统蒸散发入手,论述目...

关 键 词:蒸散发  陆地生态系统  地面观测  遥感

Estimating Terrestrial Ecosystems Evapotranspiration: A Review on Methods of Integrateing Remote Sensing and Ground Observations
Yu Tengfei,Feng Qi,Si Jianhua,Xi Haiyang,Chen Lijuan.Estimating Terrestrial Ecosystems Evapotranspiration: A Review on Methods of Integrateing Remote Sensing and Ground Observations[J].Advance in Earth Sciences,2011,26(12):1260-1268.
Authors:Yu Tengfei  Feng Qi  Si Jianhua  Xi Haiyang  Chen Lijuan
Institution:1.Research School of Arid Environment & Climate Change, Lanzhou University, Lanzhou 730000, China;; 2.Cold and Arid Region Environmental and Engineering Research Institute,  Chinese Academy of Sciences, Alashan Desert Eco-hydrology Experimental Research Station, Lanzhou 730000, China
Abstract:Generally, the two basic study ways to complete the estimate of terrestrial ecosystems evapotranspiration, ground observation and remote sensing simulation have their own advantages and disadvantages and are complementary to each other. Therefore, how to extend the surface flux (e.g. latent heat flux) from ground observations to large scale (regional and global scale) through combining remote sensing and ground observations has become a scientific focus. In view of this, we review the four aspects of progress based on this research ideas: ① simple empirical regression model; ② surface energy balance methods; ③land surface process model; ④ land data assimilation, and discuss the main problems currently and possible solutions.
Keywords:Evapotranspiration  Terrestrial ecosystems  Ground observations  Remote sensing
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