Klein, Igor und Gessner, Ursula und Dietz, Andreas und Leinenkugel, Patrick und Dech, Stefan und Künzer, Claudia (2016) Detection of Inland Water Bodies with High Temporal Resolution. Browse Conference Publications. IGARSS 2016, 2016-07-10 - 2016-07-15, Beijing, China.
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Offizielle URL: http://www.igarss2016.org/Papers/viewpapers.asp?papernum=3222
Kurzfassung
Information on the spatio-temporal dynamics of inland water bodies is of high value for many applications, for example in the context of water and land management or for ecosystem service assessments. In this study, different approaches to delineate inland water bodies from MODIS 250 m time series were compared. Here, the performance of different input bands and indices, of trainings pixel selection methods, and of dynamic threshold definition approaches were assessed with the goal to find an optimized approach applicable for global inland water body detection based on moderate spatial and high temporal resolution MODIS data. The results of the tested approaches were cross validated with high resolution Landsat-8 classifications. The results show amongst others that a combination of near infrared band (NIR) and difference index (NIR – red band) performed best for most of the globally distributed test regions and that single band approaches revealed higher commission errors.
elib-URL des Eintrags: | https://elib.dlr.de/111044/ | ||||||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||||||
Titel: | Detection of Inland Water Bodies with High Temporal Resolution | ||||||||||||||||||||||||||||
Autoren: |
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Datum: | 15 Juli 2016 | ||||||||||||||||||||||||||||
Referierte Publikation: | Nein | ||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||||||
Seitenbereich: | Seiten 7647-7650 | ||||||||||||||||||||||||||||
Verlag: | Browse Conference Publications | ||||||||||||||||||||||||||||
Name der Reihe: | IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||
Stichwörter: | water detection, high temporal Resolution, MODIS | ||||||||||||||||||||||||||||
Veranstaltungstitel: | IGARSS 2016 | ||||||||||||||||||||||||||||
Veranstaltungsort: | Beijing, China | ||||||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||||||
Veranstaltungsbeginn: | 10 Juli 2016 | ||||||||||||||||||||||||||||
Veranstaltungsende: | 15 Juli 2016 | ||||||||||||||||||||||||||||
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: | Klein, Igor | ||||||||||||||||||||||||||||
Hinterlegt am: | 07 Feb 2017 14:55 | ||||||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:16 |
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