Paper
22 December 2006 Land use, land cover change analysis with multitemporal remote sensing data
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Abstract
Presently, unplanned changes of land use have become a major problem. Most land use changes occur without a clear and logical planning with little attention to their environmental impacts. In last four-decade, urban growth in Delhi has occurred rapidly in some unwanted direction and destroyed valuable agriculture lands in its surround. Rapid changes in land use / cover occurring over large areas; remote sensing technology is an essential and useful tool in monitoring of this area. Monitoring of land use/cover change are increasingly reliant on information derived from remotely sensed data. Such information provides the data link to other techniques to understand the human processes behind these changes. Specially, in agricultural area in suburb (or countryside) of a metropolitan city like Delhi. In this paper different change detection approaches (such as Post classification comparison and spectral change detection techniques) were evaluated with available images of National Capital Territory of Delhi during 1973 to 2001. These techniques were analyzed independently, using the concept of well-known procedures to define the best approach/methodology for addressing the change detection issues in this study.
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K. Suzanchi, R. N. Sahoo, N. Kalra, and S. Pandey "Land use, land cover change analysis with multitemporal remote sensing data", Proc. SPIE 6405, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications, 64051C (22 December 2006); https://doi.org/10.1117/12.698196
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Vegetation

Image classification

Agriculture

Remote sensing

Near infrared

Satellites

Radiometric corrections

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