Delineating urban, suburban and rural areas using Landsat and DMSP-OLS night-time images

Roychowdhury, K, Taubenbock, H and Jones, S 2011, 'Delineating urban, suburban and rural areas using Landsat and DMSP-OLS night-time images', in Stilla U, Gamba P, Juergens C, Maktav D (ed.) Proceedings of the Joint Urban Remote Sensing Event (JURSE 2011), Munich, Germany, 11-13 April 2011, pp. 33-36.


Document type: Conference Paper
Collection: Conference Papers

Title Delineating urban, suburban and rural areas using Landsat and DMSP-OLS night-time images
Author(s) Roychowdhury, K
Taubenbock, H
Jones, S
Year 2011
Conference name Joint Urban Remote Sensing Event (JURSE 2011)
Conference location Munich, Germany
Conference dates 11-13 April 2011
Proceedings title Proceedings of the Joint Urban Remote Sensing Event (JURSE 2011)
Editor(s) Stilla U, Gamba P, Juergens C, Maktav D
Publisher IEEE
Place of publication Piscataway, United States
Start page 33
End page 36
Total pages 4
Abstract The number and size of urban settlements are increasing in all the continents of the world at a rapid pace. Urban sprawl is associated not only with changes in landcover and area, but also ecological, climate and social transformations. Mapping the growth and spread of urban areas is important. Remote sensing has long been used to map human settlements. Today the availability of a large number of satellites and sensors, determining the appropriate image to map urban area is a research area itself. This study compares two satellite images: Landsat Enhanced Thematic Mapper data and Defence Meteorological Satellite Program, Operational Linescan System image to map the urban footprint of the city of Hyderabad, India. Landsat ETM data is captured during the daytime and gives spectral reflectance values while the DMSP-OLS data captures artificial lights from human settlements at night and produces brightness information. The results show an accuracy of more than 90% in the classification and delineation of urban, suburban and rural landcover types. This study shows that in addition to spectral reflectance captured by satellites from different features on the earth surface during the daytime, differences in the degree of brightness of the lights emitted from urban areas at night is also an effective indicator in delineating landcover types.
Subjects Photogrammetry and Remote Sensing
Keyword(s) Artificial light
Data capture
Earth surface
Enhanced thematic mappers
Human settlements
Hyderabad
India
Land cover
Land-cover types
LANDSAT
Landsat ETM
Linescan system
Meteorological satellite
Number and size
Research areas
Satellite images
Social transformation
Spectral reflectance value
Spectral reflectances
Urban areas
Urban sprawl
Copyright notice © 2011 IEEE
ISBN 9781424486571
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