The capability and development of global change sensitive factor detection with Earth observation techniques: a case study of detecting snow cover

Lifang Zhao; Zhen Li

doi:10.1117/12.872328

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3 November 2010 The capability and development of global change sensitive factor detection with Earth observation techniques: a case study of detecting snow cover

Lifang Zhao, Zhen Li

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Proceedings Volume 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality; 78400M (2010) https://doi.org/10.1117/12.872328
Event: The Sixth International Symposium on Digital Earth, 2009, Beijing, China

Abstract

Observations and research effects summarized by the fourth IPCC indicate that the earth's climate system has been undergoing a notable change over the last 50 years and main character of this change is global swarming moving well outside the range of natural variability. Earth observation satellites can detect global changes from space platform and obtain the key sensitive factors of depicting these changes. Taking snow cover as a case, this paper generalizes principles, methods, techniques and instruments of monitoring snow change, and analyzes abilities and problems of earth observation satellites now. Finally, this paper proposes two possible resolution ways according to main problems of monitoring snow cover. The first method develops hyperspectral, high spatial and temporal resolution new-generation sensors. The second method, with four-dimensional data assimilation technique, introduces continuously snow observations from various observation ways into dynamic process models. Furthermore, data assimilation can assimilate advanced remote sensing data about snow by virtue of the new-generation sensors to be launched and create continuous, higher precision and space-time consistent snow cover product. This provides scientific and reliable evidences to make favorable strategies for strategy makers and make human better predict, adapt and mitigate warming.

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Lifang Zhao and Zhen Li "The capability and development of global change sensitive factor detection with Earth observation techniques: a case study of detecting snow cover", Proc. SPIE 7840, Sixth International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality, 78400M (3 November 2010); https://doi.org/10.1117/12.872328

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