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Settlement detection and impervious surface estimation in the Mekong Delta using optical and SAR remote sensing data

Leinenkugel, Patrick and Esch, Thomas and Künzer, Claudia (2011) Settlement detection and impervious surface estimation in the Mekong Delta using optical and SAR remote sensing data. Remote Sensing of Environment, 115 (12), pp. 3007-3019. Elsevier. DOI: 10.1016/j.rse.2011.06.004.

Full text not available from this repository.

Official URL: http://www.sciencedirect.com/science/article/pii/S0034425711002288

Abstract

Information about the extent of impervious surface and its rate of development is a valuable indicator of urban growth and environmental quality and thus relevant for a wide range of research related to urban ecosystems. Using SPOT-5 data from 2005 to 2009, impervious surface was estimated at a subpixel level for the area of Can Tho province in the Mekong Delta, based on a Support Vector Regression model. Training data comprised a set of SPOT-5 reflectance values each associated with an individual value of subpixel imperviousness as their respective labels. The latter were obtained on the basis of a land cover map, which in turn was derived from a pansharpened QB subset by means of an object-oriented image classification approach. In addition, by varying different sets of training data in the model building process the spectral interrelationships between the urban land cover classes (water, bare soil, vegetation, and impervious surface) and their effect on the estimation of subpixel imperviousness could be examined. In order to exclude irrelevant areas (natural/undeveloped land) from the impervious surface estimation process, single-polarised TerraSAR-X data were used to delineate settlement areas by an object-oriented image classification approach. Furthermore, a change detection method was applied for the respective time period in order to test the suitability of the approach for the automated detection of structural developments within the urban topography. Settlement areas were correctly identified with overall accuracies between 81% and 94%, whilst the comparison of the modelled impervious estimates to the training values gave an absolute mean error below 15%. The results prove the suitability of the approach for an area-wide but selective mapping and monitoring of impervious surface cover within settlement areas only.

Document Type:Article
Title:Settlement detection and impervious surface estimation in the Mekong Delta using optical and SAR remote sensing data
Authors:
AuthorsInstitution or Email of Authors
Leinenkugel, Patrickpatrick.leinenkugel@dlr.de
Esch, Thomasthomas.esch@dlr.de
Künzer, ClaudiaClaudia.Kuenzer@dlr.de
Date:15 December 2011
Journal or Publication Title:Remote Sensing of Environment
Refereed publication:Yes
In Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:115
DOI:10.1016/j.rse.2011.06.004
Page Range:pp. 3007-3019
Publisher:Elsevier
Status:Published
Keywords:Impervious surface; Settlement detection; Support Vector Regression; SPOT-5; TerraSAR-X
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 Prozesse der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Patrick Leinenkugel
Deposited On:28 Nov 2011 09:37
Last Modified:19 Apr 2013 11:20

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