02891nam 2200601Ia 450 991043824410332120250609110124.03-642-37033-010.1007/978-3-642-37033-5(CKB)2670000000371248(EBL)3071412(SSID)ssj0000904219(PQKBManifestationID)11484421(PQKBTitleCode)TC0000904219(PQKBWorkID)10920937(PQKB)10445876(DE-He213)978-3-642-37033-5(MiAaPQ)EBC1317089(PPN)170491250(MiAaPQ)EBC3071412(EXLCZ)99267000000037124820130608d2013 uy 0engur|n|---|||||txtccrDetection of melt ponds on arctic sea ice with optical satellite data /Anja Rosel1st ed. 2013.Heidelberg ;New York Springerc20131 online resource (120 p.)Hamburg studies on maritime affairs,1614-2462 ;v. 25Description based upon print version of record.3-642-37032-2 Includes bibliographical references.Introduction -- Physical characteristics of sea ice -- Optical Remote Sensing -- Melt pond determination from Landsat satellite data -- Melt pond determination from MODIS data -- Summary and outlook -- Glossary.The 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 accelerate the decay of Arctic sea ice. To quantify the melting of the entire Arctic sea ice, satellite based observations are necessary. Due to different spectral properties of snow, ice, and water, theoretically, 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.Hamburg studies on maritime affairs ;v. 25.Sea iceArctic OceanRemote sensingSnowArctic regionsRemote sensingArtificial satellites in remote sensingSea iceRemote sensing.SnowRemote sensing.Artificial satellites in remote sensing.551.3430998Rosel Anja1062667MiAaPQMiAaPQMiAaPQBOOK9910438244103321Detection of Melt Ponds on Arctic Sea Ice with Optical Satellite Data2527516UNINA