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Titel:

Lake level estimation based on CryoSat-2 SAR altimetry and multi-looked waveform classification

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Göttl F., Dettmering D., Müller F.L., Schwatke C.
Abstract:
In this study, reliable water levels for four lakes are estimated based on an innovative processing strategy using a semi-automatic CryoSat-2 Synthetic Aperture Radar (SAR) multi-looked waveform classification. The selection of valid water returns is an essential step in inland altimetry applications. In order to identify reliable observations allowing for an accurate retracking, an unsupervised classification method for CryoSat-2 SAR multi-looked waveforms has been developed based on the k-mean...     »
Stichworte:
radar altimetry; inland water; CryoSat-2 SAR; waveform classification; water level time series
Zeitschriftentitel:
Remote Sensing
Jahr:
2016
Band / Volume:
8
Heft / Issue:
11
Seitenangaben Beitrag:
885
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.3390/rs8110885
Verlag / Institution:
MDPI AG
E-ISSN:
2072-4292
Eingereicht (bei Zeitschrift):
18.08.2016
Angenommen (von Zeitschrift):
19.10.2016
Publikationsdatum:
26.10.2016
TUM Einrichtung:
Deutsches Geodätisches Forschungsinstitut (DGFI-TUM)
CC-Lizenz:
by, http://creativecommons.org/licenses/by/4.0
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