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A new spatially-explicit and object-conditional land cover (LC) data set based on the FAO Land Cover Classification System (LCCS) for the GLOWA catchment area

Landmann, Tobias and Schmidt, Michael and Dech, Stefan and Schramm, Matthias and Vogel, Melanie (2006) A new spatially-explicit and object-conditional land cover (LC) data set based on the FAO Land Cover Classification System (LCCS) for the GLOWA catchment area. In: 2006 African Association of Remote Sensing for the Environment, pp. 144-149. 6th AARSE, 2006-10-30 - 2006-11-02, Cairo (Egypt). ISBN 1-920-01710-0.

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Abstract

Within the GLOWA river basin hydrology and LC project in West Africa, a unique and new LC mapping approach was implemented, using 26 Landsat Enhanced Thematic Mapper (ETM+) data tiles from the year 2000 and corresponding 26 Landsat Thematic Mapper (TM) data tiles from the period 1990. An area of 400.000 squared kilometres was mapped, in both time frames, using an object-orientated conditional approach and a standard FAO LCCS legend. On the first hierarchical level permanent and seasonally wet flooded areas were extracted using thermal emission data, and wetness and greenness indices as a function of landscape position from 90-meter topographic shuttle (SRTM) data. Linear classes were flagged using a fuzzy convolution statistical neighbourhood filter and non-linear classes were consequently flagged and mapped using an unsupervised neural network classifier. A preliminary statistical accuracy assessment was performed using independently collected low to moderate resolution LC data from the same observation period. The neural network classifier was effectively used to discriminate woody from herbaceous cover and shrub from other woody classes, especially in very open savanna areas. Most errors of commissions/confusion were found between grass and very open woody, as well as between managed woody and woody closed areas.

Document Type:Conference or Workshop Item (Paper)
Title:A new spatially-explicit and object-conditional land cover (LC) data set based on the FAO Land Cover Classification System (LCCS) for the GLOWA catchment area
Authors:
AuthorsInstitution or Email of Authors
Landmann, TobiasUNSPECIFIED
Schmidt, MichaelUNSPECIFIED
Dech, StefanUNSPECIFIED
Schramm, MatthiasUNSPECIFIED
Vogel, MelanieUNSPECIFIED
Date:2006
Journal or Publication Title:2006 African Association of Remote Sensing for the Environment
Refereed publication:Yes
In ISI Web of Science:No
Page Range:pp. 144-149
ISBN:1-920-01710-0
Status:Published
Keywords:Landsat imagery, land cover, LCCS, Glowa Volta Basin
Event Title:6th AARSE
Event Location:Cairo (Egypt)
Event Type:international Conference
Event Dates:2006-10-30 - 2006-11-02
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Anna Cord
Deposited On:17 Mar 2008
Last Modified:27 Apr 2009 14:48

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