APPLICATION OF REMOTE SENSING IN URBAN STUDIES: A CASE STUDY OF GREATER HYDERABAD

Remote Sensing satellite image provides temporal as well as high resolution information about the changing dimensions of urban landscape. The climate in and around cities and other built up areas is altered due to changes in land use / land cover and anthropogenic activities related to urbanization. The advantages of using remotely sensed data are the availability of high resolution, consistent and repetitive coverage and capability of measurements of earth surface conditions.

To extract the land use / land cover information, various indices based on satellite imagery are derived and thematic maps are prepared. Extraction of land use / land cover features is based on three indices to represent major urban land use classes. The urban land use is generalized in three categories i.e. built up land, vegetation, and open water. The, three indices used, represents the three major land use categories. Three indices which are derived to represent urban – land use / land cover categories are vegetation, water bodies and built-up are: Normalized Differential Vegetation Index (NDVI), Modified Normalized Differential Water Index (MNDWI), and Normalized Differential Built-up Index (NDBI).

Keywords: Remote Sensing, Thermal Image, Land Surface Temperature, Indices.