Snow cover remote sensing with multisensor data

Yujie Liu; Libo Wang; Wanping Yuan

doi:10.1117/12.417014

8 February 2001 Snow cover remote sensing with multisensor data

Yujie Liu, Libo Wang, Wanping Yuan

Proceedings Volume 4151, Hyperspectral Remote Sensing of the Land and Atmosphere; (2001) https://doi.org/10.1117/12.417014
Event: Second International Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 2000, Sendai, Japan

Abstract

Snow cover is an important resource of the Earth. It is a potential factor related to climate and global changes. On account of its high reflectance and low heat conductivity, the existence of snow cover can affect surface and air temperature, surface albedo, radiation balance, soil moisture and so on. It may have influence on the earth- atmosphere system. In order to study and understand the impact of snow cover on climate and hydrologic budgets, it is necessary to have variation and distribution of snow cove over a long period. Usually the snow cover data can be obtained regularly by observation of weather station, but these data are limited to point surface measurement and poorly represented in mountainous and sparsely inhabited areas. Remote sensing is a powerful tool for snow cover observations.

Citation Download Citation

Yujie Liu, Libo Wang, and Wanping Yuan "Snow cover remote sensing with multisensor data", Proc. SPIE 4151, Hyperspectral Remote Sensing of the Land and Atmosphere, (8 February 2001); https://doi.org/10.1117/12.417014

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