Land Use/Land Cover Change Detection of Indira Sagar Canal Command Area Using Integrated Remote Sensing and GIS Tools

Abstract

In recent years, the significance of spatial data technologies, especially the application of remotely sensed data and geographical information systems (GIS), has been widely used. Land cover/land use is one of the influencing factors when it comes to catchment runoff. Hence, it is necessary to carefully consider both spectral and spatial characteristics of the sensor and accuracy of representative areas of predefined classes. The current study explores the change in water bodies, mixed plant, grass and shrubs, fallow land, agricultural land, urbanization growth using IRS satellite data for the decade, between 2000 and 2010 over Indira Sagar Canal command area. Supervised classification method is used to classify the urban land use and land cover. GIS is used to prepare different layers belonging to various land uses identified from remotely sensed data. The investigation outcome shows intense decrease in fallow land from 1846.64 km² in 2000 to 1031.48 km² in 2010. In the period 2000 to 2010, the decadal change was found in green land. Likewise, agriculture land increased from 15 to 18%, grass and shrubs from 18.5 to 19% and mixed plant increased from 7.6 to 12%). This drastic significant result is due to the construction of canal in Indira Sagar Canal command area which changes the whole scenario of the study area.

Keywords: Land use and cover, geographical information system, canal command, remote sensing, change detection analysis