Satellite-based Applications on Climate Change, John Qu; Alfred Powell; M.V.K. Sivakumar

Автор: Mekonnen Gebremichael; Faisal Hossain
Название: Satellite Rainfall Applications for Surface Hydrology
ISBN: 9048129141 ISBN-13(EAN): 9789048129140
Издательство: Springer
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Цена: 23508.00 р.
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Описание: While there are a growing number of high-resolution space-based systems for measuring precipitation, instances of the use of these products for surface hydrology are rare. This book focuses on evaluating the potential, utility and application of high resolution satellite precipitation products in relation to surface hydrology.

Автор: Klaus Seidel (Author), Jaroslav Martinec
Название: Remote Sensing in Snow Hydrology: Runoff Modelling, Effect of Climate Change
ISBN: 3642074170 ISBN-13(EAN): 9783642074172
Издательство: Springer
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Цена: 16977.00 р.
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Описание: Initially, the role of snow and ice in the global water balance is assessed and methods of snow measurements are explained. Following a review of snow melt and runoff modelling, the Snowmelt Runoff Model (SRM) demonstrates the merits of remote sensing in snow hydrology by using the satellite data as a direct input variable.

Автор: Post Eric
Название: Ecology of Climate Change
ISBN: 0691148473 ISBN-13(EAN): 9780691148472
Издательство: Wiley
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Цена: 10296.00 р.
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Описание: Rising temperatures are affecting organisms in all of Earth`s biomes, but the complexity of ecological responses to climate change has hampered the development of a conceptually unified treatment of them. In a remarkably comprehensive synthesis, this book presents past, ongoing, and future ecological responses to climate change in the context of tw

Автор: Nasrollahi, Nasrin
Название: Improving infrared-based precipitation retrieval algorithms using multi-spectral satellite imagery
ISBN: 3319120808 ISBN-13(EAN): 9783319120805
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Introduction to the Current States of Satellite Precipitation Products.- False Alarm in Satellite Precipitation Data.- Satellite Observations.- Reducing False Rain in Satellite Precipitation Products Using CloudSat Cloud Classification Maps and MODIS Multi-Spectral Images.- Integration of CloudSat Precipitation Profile in Reduction of False Rain.- Cloud Classification and its Application in Reducing False Rain.- Summary and Conclusions.