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Sentinel-1 Potential for Land Cover Classification

Schwarz, Gottfried and Dumitru, Octavian and Datcu, Mihai (2017) Sentinel-1 Potential for Land Cover Classification. WorldCover 2017, 14.-16. März 2017, Frascati, Italien.

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Abstract

One of the main applications of ESA’s Sentinel-1 SAR data is land cover analysis and classification. The regular repeat cycle imaging and the resulting time series of overlapping Sentinel-1 SAR images prompted us to develop reliable image classification tools that allow a quantitative inter-comparison of selected land cover areas. Our aim was to identify pre-defined land cover categories, and to observe the temporal evolution of these categories versus time.

Item URL in elib:https://elib.dlr.de/111548/
Document Type:Conference or Workshop Item (Poster)
Title:Sentinel-1 Potential for Land Cover Classification
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schwarz, Gottfriedgottfried.schwarz (at) dlr.deUNSPECIFIED
Dumitru, Octaviancorneliu.dumitru (at) dlr.deUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:2017
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Satellite images, land cover, classification, Sentinel-1
Event Title:WorldCover 2017
Event Location:Frascati, Italien
Event Type:international Conference
Event Dates:14.-16. März 2017
Organizer:ESA / ESRIN
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Schwarz, Gottfried
Deposited On:20 Mar 2017 16:11
Last Modified:31 Jul 2019 20:08

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