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Time Series Analysis of the Lac Bam Wetland Using Dual-polarized X-band SAR Data

Moser, Linda und Schmitt, Andreas und Wendleder, Anna und Roth, Achim (2015) Time Series Analysis of the Lac Bam Wetland Using Dual-polarized X-band SAR Data. In: 36th International Symposium on Remote Sensing of Environment (ISRSE36). 36th International Symposium on Remote Sensing of Environment (ISRSE 2015), 2015-05-11 - 2015-05-15, Berlin, Deutschland.

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Kurzfassung

Lac Bam is the largest natural lake in Burkina Faso, and is of high importance for the local inhabitants for irrigated farming, animal watering, and extraction of water for drinking and sanitation. Wetlands in semi-arid African areas are prone to strong seasonal fluctuations and their waters are often covered by floating or standing vegetation, and can be very turbid and sediment-rich. During the rainy season cloud-cover is very strong, and during this time, only active microwave-based remote sensing systems like SAR sensors are suitable. While SAR intensity images have been successfully used to detect open water, polarimetric SAR applications have shown promising results to also distinguish between open water, floating, flooded, and standing vegetation, and land of the wetland’s environment. A time series of StripMap data from TerraSAR-X has been acquired from August 2013 (rainy season) to May 2014 (end of dry season), with an interval of 11 days. Images are geocoded and calibrated, and further processed to Multi-scale Multi-looked normalized Kennaugh elements. Results clearly show that using the Kennaugh elements from co-polarized HH-VV bands open water can be well identified from one Kennaugh element (K0), and two more Kennaugh elements (K3, K4) clearly enable the detection of floating and standing vegetation in water. Applied on the full time series, seasonal fluctuations become apparent, and proof that monitoring the temporal development of wetlands is possible despite water being covered by vegetation. The method will also be tested for a dual-pol HH-HV Radarsat-2 time series in preparation for Sentinel-1 data. Results of the analysis are validated based on optical very high resolution data from WorldView-2 and RapidEye, available for selected dates. This study contributes to a better understanding of dynamics of African wetlands, as well as concludes to the capability for the use of dual-polarimetric SAR imagery for regular wetland monitoring which is essential for water management and wetland ecology.

elib-URL des Eintrags:https://elib.dlr.de/98070/
Dokumentart:Konferenzbeitrag (Poster)
Titel:Time Series Analysis of the Lac Bam Wetland Using Dual-polarized X-band SAR Data
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Moser, LindaLinda.Moser (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Schmitt, AndreasAndreas.Schmitt (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Wendleder, AnnaAnna.Wendleder (at) dlr.dehttps://orcid.org/0009-0005-1534-4732NICHT SPEZIFIZIERT
Roth, AchimAchim.Roth (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:Mai 2015
Erschienen in:36th International Symposium on Remote Sensing of Environment (ISRSE36)
Referierte Publikation:Nein
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:Kennaugh, monitoring, polarimetric SAR, time series, wetlands
Veranstaltungstitel:36th International Symposium on Remote Sensing of Environment (ISRSE 2015)
Veranstaltungsort:Berlin, Deutschland
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:11 Mai 2015
Veranstaltungsende:15 Mai 2015
Veranstalter :International Society for Photogrammetry and Remote Sensing
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 - Vorhaben Fernerkundung der Landoberfläche (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Landoberfläche
Hinterlegt von: Moser, Linda
Hinterlegt am:03 Dez 2015 10:34
Letzte Änderung:24 Apr 2024 20:03

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