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Global WaterPack – A 250 m resolution dataset revealing the daily dynamics of global inland water bodies

Klein, Igor und Gessner, Ursula und Dietz, Andreas und Künzer, Claudia (2017) Global WaterPack – A 250 m resolution dataset revealing the daily dynamics of global inland water bodies. Remote Sensing of Environment, 198, Seiten 345-362. Elsevier. doi: 10.1016/j.rse.2017.06.045. ISSN 0034-4257.

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Offizielle URL: http://www.sciencedirect.com/science/article/pii/S003442571730305X

Kurzfassung

Knowledge about inland surface water distribution and its short- to long-term variability is of high importance. Recently many studies have presented interesting results at regional, continental and global scale with 14.25 m to 25 km spatial and 10 day to one year temporal resolution. However, surface inland water bodies can feature temporally rapid spatial changes caused by extreme events, seasonal variability as well as human activity. Such changes can occur on temporal scales which are below the currently existing dynamic water body products. While the daily temporal resolution of available sensors has not been exploited yet. In this study we present an approach which uses the full temporal resolution of the Moderate Resolution Imaging Spectroradiometer (MODIS) to generate a 250 m daily global dataset of inland water bodies based on spectral information and dynamic thresholding. Based on a combination of MODIS Terra and Aqua daily classifications, auxiliary mask layers and temporal interpolation, a global cloud and gap free time series of inland water bodies is produced. The presented results are validated with 321 Landsat images across the globe. The executed validation shows an overall accuracy of 96.3% with 7.8% omission and 0.5% commission error, and a kappa coefficient of 93.3% for pure water pixels. The presented results demonstrate the high potential for different applications requiring information of inland water body dynamics at high temporal resolution. Examples demonstrate that e.g. the filling and emptying of water reservoirs, changes and inundation cycles of natural water bodies as well as freezing and thawing of lakes can be analyzed at a highly detailed temporal scale

elib-URL des Eintrags:https://elib.dlr.de/113038/
Dokumentart:Zeitschriftenbeitrag
Titel:Global WaterPack – A 250 m resolution dataset revealing the daily dynamics of global inland water bodies
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Klein, Igorigor.klein (at) dlr.dehttps://orcid.org/0000-0003-0113-8637NICHT SPEZIFIZIERT
Gessner, Ursulaursula.gessner (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Dietz, Andreasandreas.dietz (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Künzer, Claudiaclaudia.kuenzer (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2017
Erschienen in:Remote Sensing of Environment
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:198
DOI:10.1016/j.rse.2017.06.045
Seitenbereich:Seiten 345-362
Verlag:Elsevier
ISSN:0034-4257
Status:veröffentlicht
Stichwörter:High temporal resolution dataset, Water delineation based on bi-diurnal MODIS data, Time-series of global inland surface water with 250 m spatial resolution, Capturing short- and long term variability of inland water bodies, Overall accuracy of 96.3% for pure water pixels
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 > Landoberfläche
Hinterlegt von: Klein, Igor
Hinterlegt am:04 Jul 2017 10:59
Letzte Änderung:03 Nov 2023 14:02

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