Change Detection with GRASS GIS – Comparison of images taken by different sensors
Keywords:Remote Sensing, Change Detection, diversity, GRASS, Yemen
AbstractImages of American military reconnaissance satellites of the Sixties (CORONA) in combination with modern sensors (SPOT, QuickBird) were used for detection of changes in land use. The pilot area was located about 40 km northwest of Yemen’s capital Sana’a and covered approximately 100 km2 . To produce comparable layers from images of distinctly different sources, the moving window technique was applied, using the diversity parameter. The resulting difference layers reveal plausible and interpretable change patterns, particularly in areas where urban sprawl occurs.
The comparison of CORONA images with images taken by modern sensors proved to be an additional tool to visualize and quantify major changes in land use. The results should serve as additional basic data eg. in regional planning.
The computation sequence was executed in GRASS GIS.
Altmann, R.; Haase, G. (1987): Zur Kennzeichnung von Merkmalsvariabilit¨at, Kontrast und Arealheterogenit¨ at als Eigenschaften der Landschaftsstruktur”. Strukturen und Prozesse in der Geographie: Beitr¨age zur quantitativ arbeitenden Geographie, Band 19, 145-154, Haack: Gotha.
Bjorke, J. (1996): Framework for Entropy-based Map Evaluation. Cartography and Geographic Information Systems, 23, 2, 78-95.
GRASS (2008): Geographic Resources Analysis Support System, GRASS GIS 6.3.0 http://grass.osgeo.org
Grosse, G.; Schirrmeister, L.; Kunitsky, V. V.; Hubberten, H.-W. (2005): The Use of CORONA Images in Remote Sensing of Periglacial Geomorphology: An Illustration from the NE Siberian Coast. Permafrost and Periglac. Process. 16: 163–172.
Goossens, R.; De Man J.; De Dapper M. (2001): Research on the possibilities of CORONA-satellite-data to replace conventional aerial photographs in geo-archaeological studies, practised on Sai (Sudan). In A Decade of Trans-European Remote Sensing Cooperation, Buchroithner MF (ed.). Balkema Publishers: Lisse/Netherlands; 257–262.
Lorenz, H. (2004): Integration of Corona and Landsat Thematic Mapper data for bedrock geological studies in the high Arctic. International Journal of Remote Sensing, Volume 25, Number 22: 5143-5162.
Lunetta, R. S.; Elvidge, Ch. D. (eds.) (1999): Remote sensing change detection: environmental monitoring methods and applications, Taylor & Francis, London.
McGarigal, K.; Marks B. J. (1995): FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. USDA For. Serv. Gen. Tech. Rep. PNW-351.
Owe, M. (ed.) (2007): Remote sensing for environmental monitoring and change detection: a compilation of papers presented at the IAHS Symposium on Remote Sensing for Environmental Monitoring and Change Detection, in Perugia, as part of the 24th IUGG General Assembly, 2007, IAHS publication, 316.
Palm, G. (1985): Information und Entropie. In: Natur und Wissenschaft. Konkursbuch 14, Zeitschrift fur Vernuftskritik, 95-110. Tubingen: Konkursbuchverlag. ¨
Paulov, J. (1991): Entropie in der Humangeographie – Einleitende konzeptionelle Ubersicht. Petermanns Geographische Mitteilungen 2/1991, 89 – 97, Gotha: Haack.
Peinado, L. O. (2001): Comparison of Change Detection Methods for the Extraction of Land Cover Parameters. Herbert Utz.
Schmidt, M.; Goossens, R.; Menz, G.; Altmaier, A.; Devriendt, D. (2001): The use of CORONA satellite images for generating a high resolution digital elevation model. IEEE vol. 7: 3123 – 3125.
Théau, J. (2006): Detection of Changes Using Remote Sensing: an Overview of Principles and Applications. Geo-Spatial and Range Sciences Conference, online1 .
Yang, X. M. (1999): Change Detection Based on Remote Sensing Information Model and its Application on Coastal Line of Yellow River Delta. GISdevelopment-Proceedings.
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