Titlebook: Detection of Melt Ponds on Arctic Sea Ice with Optical Satellite Data; Anja R?sel Book 2013 Springer-Verlag Berlin Heidelberg 2013 Arctic.

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連累

Generalize

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槍支

Melt Pond Determination from MODIS Data,ace type can be assigned to the “mixed pixels”, the two in . described methods for determining melt ponds from Landsat data are not applicable on MODIS data. Therefore, another approach, which considers these “mixed pixels”, is introduced.

arrhythmic

Introduction,a positive feedback process: decreasing surface albedo due to a melting ice cover leads to more absorption of solar radiation, resulting in additional melt processes. These melt processes again reduce the surface albedo and thus enhance melting of the ice cover [13].

arrhythmic

Book 2013lly, multi-spectral optical sensors are necessary for the analysis of these distinct surface types. This study demonstrates the potential of optical sensors to detect melt ponds on Arctic sea ice. For the first time, an Arctic-wide, multi-annual melt pond data set for the years 2000-2011 has been created and analyzed.

騷動(dòng)

1614-2462 method of calculation of the melt pond fraction from opticaThe Arctic sea ice is characterized by profound changes caused by surface melting processes and the formation of melt ponds in summer. Melt ponds contribute to the ice-albedo feedback as they reduce the surface albedo of sea ice, and hence

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figment

Summary and Outlook,ds have a significant influence on the amount of sea ice melt and therefore also on Earth’s radiation balance, the primary goal of this study was to develop a multi-annual melt pond data set of the entire Arctic region based on satellite data.