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Fusion of multi-temporal optical and SAR satellite data for improved snow facies mapping on glaciers

Wendleder, Anna und Rastner, Philipp und Heilig, Achim (2019) Fusion of multi-temporal optical and SAR satellite data for improved snow facies mapping on glaciers. Living Planet Symposium 2019, 2019-05-13 - 2019-05-17, Mailand, Italien.

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Kurzfassung

Mapping snow cover (SC) on glaciers at the end of the ablation period supports the comprehension how and in which rate a glacier accumulates and ablates, respectively, and which influence climate variabilities have. Furthermore, the SC can be used for the determination of the mass balance. Remote Sensing data are able to provide this information for remote, large glaciers and back in time. With optical satellite imagery it is possible to detect SC on glacier relatively straight forward when no clouds are present and when the bare ice is clearly different from the snow zone on the glacier. Optical satellite data fail, however, to identify whether the snow on the glacier is dry, wet or whether firn is present or not. In contrast, SAR data like TerraSAR-X or Sentinel-1 can discriminate dry snow, wet snow, firn and bare ice. In this contribution, we compare three types of multi-temporal SC maps for a set of glaciers in the Ötztal Alps-Austria. For several acquisition times we performed a multiple digitizing experiment by manually mapping the SC area on the glaciers based on high resolution Landsat image which served in the following as reference data. Additionally, we applied the automatic SC mapping tool named ´automated snow mapping on glaciers´ (ASMAG) based on Landsat imagery. The algorithm automatically determines cloud cover and converts raw digital numbers into topographically corrected top of atmosphere reflectance (TOAR). Subsequently, a reflectance threshold for the near-infrared band is automatically selected to map snow on glaciers. Finally, we used TerraSAR-X and Sentinel-1 data to derive the various snow facies for the acquisition times . A first assessment shows that the manual derived outlines and the SC maps from ASMAG are of high accuracy (~90%). The maps derived from TerraSAR-X are more difficult to interpret. Wet snow maps agree by about 60% with the SC maps from ASMAG, however, dry snow maps, firn and bare ice are difficult to classify. On the other hand, snow facies maps from Sentinel 1 shows a higher agreement in respect to TerraSAR-X, which might be due to the different snow conditions during the acquisitions of TerraSAR-X and Sentinel-1 (5:30 a.m. UTC) and Landsat (11 a.m. UTC). We conclude, that the combination of different sensors is highly recommendable to support a continuous SC monitoring and to eliminate the disadvantages of each sensor. Also, the round robin experiment resulted in a high agreement. Due to the high repetition time of Sentinel-1 data, the comparison of the SC maps is facilitated in contrast to TerraSAR-X.

elib-URL des Eintrags:https://elib.dlr.de/128640/
Dokumentart:Konferenzbeitrag (Poster)
Titel:Fusion of multi-temporal optical and SAR satellite data for improved snow facies mapping on glaciers
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Wendleder, AnnaAnna.Wendleder (at) dlr.dehttps://orcid.org/0009-0005-1534-4732NICHT SPEZIFIZIERT
Rastner, Philippphilipp.rastner (at) geo.uzh.chNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Heilig, AchimMunich UniversityNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:Mai 2019
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:snow, optical data, SAR, data fusion, glacier
Veranstaltungstitel:Living Planet Symposium 2019
Veranstaltungsort:Mailand, Italien
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:13 Mai 2019
Veranstaltungsende:17 Mai 2019
Veranstalter :ESA
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Fernerkundung u. Geoforschung
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Dynamik der Landoberfläche
Hinterlegt von: Wendleder, Anna
Hinterlegt am:05 Aug 2019 10:02
Letzte Änderung:24 Apr 2024 20:32

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