Abstract

In urban environment especially in the trans-urban regions the changes in land-cover features are quite frequent and substantial. With availability of medium resolution satellite-data reliable and timely information on changes in land-cover features in the peripheral areas of the urban settlement could be generated. In a case study presented here, we have analyzed the land-cover changes in the trans-urban area of Hyderabad metropolitan city using bi-temporal Resourcesat -1 and-2 Linear Imaging self-scanning Sensor (LISS-III) data for the period 2005 and 2011. Radiometric normalization using dark object subtraction (DOS) method followed by co-registration of geo-referenced datasets was carried out. Subsequently, image analysis for deriving land-cover features was carried out using Gaussian Maximum likelihood classifier (MLC). The results show that because of urbanization the most notable changes in spatial extent have occurred in the scrubs areas followed by cropland. The article describes in detail the changes that have taken place in the land cover features.

Highlights

  • Management and planning of urban areas requires current and accurate information about land use both on its spatial extent and distribution as well as on temporal behaviour

  • We report here a study, which was taken up (i) to derive information on spatial distribution of urban built-up land in part of Hyderabad metropolitan city, Telangana state, southern India using Resourcesat-1 and -2 LISS-III data

  • Resourcesat-1 multispectral LISS-III digital data for the period October 6, 2005 covering the study area was geo-referenced to the Survey of India (SOI) digital topographical map at 1:50,000 scale using image-to- map tie-down approach available in the ERDAS/IMAGINE version 9.2

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Summary

Introduction

Management and planning of urban areas requires current and accurate information about land use both on its spatial extent and distribution as well as on temporal behaviour. By virtue of high temporal frequency, digital format suitable for computation, synoptic view, and wider selection of spatial and spectral resolutions, the spaceborne multispectral data have been used very often for studying temporal behavior land-use/land-cover features including urban built-up features l (Chen, et al, 2012; Coops, et al, 2006; Lunetta, et al, 2004). We report here a study, which was taken up (i) to derive information on spatial distribution of urban built-up land in part of Hyderabad metropolitan city, Telangana state, southern India using Resourcesat-1 and -2 LISS-III data.

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