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Mapping rice areas with Sentinel-1 time series and superpixel segmentation

Clauss, Kersten and Ottinger, Marco and Künzer, Claudia (2017) Mapping rice areas with Sentinel-1 time series and superpixel segmentation. International Journal of Remote Sensing, 39 (5), pp. 1399-1420. Taylor & Francis. DOI: 10.1080/01431161.2017.1404162 ISSN 0143-1161

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Official URL: http://www.tandfonline.com/doi/full/10.1080/01431161.2017.1404162

Abstract

Rice is the single most important crop for food security in Asia. Knowledge about the distribution of rice fields is also relevant in the context of green-house relevant methane emissions, disease transmission and water resource management. Copernicus Sentinel-1 provides the first openly available archive of C-band SAR data at high spatial and temporal resolution. We developed one of the first methods that shows the potential of this data for accurate and timely mapping of rice growing areas. We used superpixel segmentation to create spatially averaged backscatter time-series, which are robust to speckle and reduce the amount of data to process. This method has been applied to six study sites in different rice growing regions of the world and achieved an average overall accuracy of 0.83.

Item URL in elib:https://elib.dlr.de/114137/
Document Type:Article
Title:Mapping rice areas with Sentinel-1 time series and superpixel segmentation
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Clauss, Kerstenkersten.clauss (at) dlr.deUNSPECIFIED
Ottinger, Marcomarco.ottinger (at) dlr.deUNSPECIFIED
Künzer, Claudiaclaudia.kuenzer (at) dlr.deUNSPECIFIED
Date:27 November 2017
Journal or Publication Title:International Journal of Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:39
DOI :10.1080/01431161.2017.1404162
Page Range:pp. 1399-1420
Publisher:Taylor & Francis
ISSN:0143-1161
Status:Published
Keywords:rice, Sentinel-1, SAR, time-series, image segmentation, agriculture
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 - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Clauss, Kersten
Deposited On:27 Nov 2017 11:25
Last Modified:22 Jan 2018 12:11

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