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Dokumenttyp:
Zeitschriftenaufsatz 
Autor(en):
Göttl F., Dettmering D., Müller F.L., Schwatke C. 
Titel:
Lake level estimation based on CryoSat-2 SAR altimetry and multi-looked waveform classification 
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:
Heft / Issue:
11 
Seitenangaben Beitrag:
885 
Reviewed:
ja 
Sprache:
en 
Verlag / Institution:
MDPI AG 
E-ISSN:
2072-4292 
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