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Multi-sensor mapping of West African land cover using MODIS, ASAR and TanDEM-X/TerraSAR-X data

Gessner, Ursula and Machwitz, Miriam and Esch, Thomas and Tillack, Adina and Naeimi, Vahid and Künzer, Claudia and Dech, Stefan (2015) Multi-sensor mapping of West African land cover using MODIS, ASAR and TanDEM-X/TerraSAR-X data. Remote Sensing of Environment, 164, pp. 282-297. Elsevier. DOI: [10.1016/j.rse.2015.03.029] ISSN 0034-4257

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Official URL: http://www.sciencedirect.com/science/article/pii/S0034425715001261

Abstract

Land cover information plays an elementary role for regional water and land management, and is an essential variable for the assessment of ecosystem services and regional climate impact. This paper describes the generation of a regionally optimized land cover dataset forWest Africawith a spatial resolution of 250 m,which is based on earth observation data from three optical and radar instruments. The choice of sensors is based on their individual strengths and weaknesses in assessing specific land surface types. Annual profiles of the opticalModerate Resolution Imaging Spectroradiometer (MODIS) are analyzed for the classification of vegetated classes including agriculture. The classification approach builds on random forest classification with learning data extracted from higher resolution land cover maps. Envisat Advanced Synthetic Aperture Radar (ASAR)Wide Swath (WS) time series are used, in combinationwithMODIS data, to delineate permanent and seasonal water bodies. Here, an approach integrating threshold classification and morphological operations is applied. Built-up areas of different densities are identified based on a seamless coverage of radar imagery collected by the satellites TanDEM-X and TerraSAR-X. The detection of settlements is based on an unsupervised classification scheme which exploits texture metrics and backscattering amplitudes of the fine resolution radar sensors. The accuracy assessment of the multi-sensor land cover map yields an overall accuracy of 80% at legend level 1 (9 classes) and 73% at the more detailed legend level 2 (14 classes). Comparisons with available wall-to-wall datasets of the region demonstrate the valuable information content of the presented West African land cover map.

Item URL in elib:https://elib.dlr.de/96594/
Document Type:Article
Title:Multi-sensor mapping of West African land cover using MODIS, ASAR and TanDEM-X/TerraSAR-X data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Gessner, Ursulaursula.gessner (at) dlr.deUNSPECIFIED
Machwitz, MiriamLuxembourg Institute of Science and TechnologyUNSPECIFIED
Esch, ThomasThomas.Esch (at) dlr.deUNSPECIFIED
Tillack, AdinaSLU — Sachverständigenbüro für LuftbildauswertungUNSPECIFIED
Naeimi, VahidTU WienUNSPECIFIED
Künzer, ClaudiaClaudia.Kuenzer (at) dlr.deUNSPECIFIED
Dech, Stefanstefan.dech (at) dlr.deUNSPECIFIED
Date:2015
Journal or Publication Title:Remote Sensing of Environment
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:164
DOI :[10.1016/j.rse.2015.03.029]
Page Range:pp. 282-297
Publisher:Elsevier
ISSN:0034-4257
Status:Published
Keywords:West Africa, Land cover, Time series, MODIS, ASAR, TanDEM-X, TerraSAR-X, Random forest, WaMaPro, GUF
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 Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Leitungsbereich DFD
German Remote Sensing Data Center > Land Surface
Deposited By: Gessner, Ursula
Deposited On:18 Jun 2015 09:13
Last Modified:10 Jan 2019 15:50

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