Effect of canal on land use/land cover using remote sensing and GIS
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J. Indian Soc. Remote Sens. (September 2009) 37:527–537
RESEARCH ARTICLE
Effect of Canal on Land Use/Land Cover using Remote Sensing and GIS S. Mukherjee . S. Shashtri . C.K. Singh . P.K. Srivastava . M. Gupta
Received: 26 August 2008 / Accepted: 4 April 2009
Keywords Principal component analysis (PCA) . Land use land covers (LULC) . Geographic positioning system (GPS) . Change detection
Abstract The monitoring of land use/land covers (LULCs) is an indispensable exercise for all those involved in executing policies to optimize the use of natural resources and minimize the ill impacts on the environment. The study here aims at analyzing the changes that occurred in LULC over a time span from 1990 to 2005 using multi date data of a part of Punjab. The digital data consisted of two sets of Landsat Thematic Mapper (TM) data and one set of IRS-1C
S. Mukherjee ( ) . S. Shashtri . C.K. Singh . P.K. Srivastava . M. Gupta Geology & Remote Sensing, School of Environmental Sciences, Jawaharlal Nehru University, New Delhi – 110 067, India
email : [email protected]
data. Utilizing hybrid classification technique for interpretation and on field validation, it has been found that canal irrigation leads to changes in LULC as there is a change in cropping pattern as well as increase in water logged area.
Introduction Land use is the manner in which human beings employ the land and its resources; it includes agriculture, urban development, grazing, logging, and mining. In contrast, land cover describes the physical state of the land surface, which includes cropland, forests, wetlands, pasture, roads, and urban areas (Jaisawal et al., 1999). The term land cover originally referred to the kind and state of vegetation, such as forest or grass cover, but it has broadened in subsequent usage to include human structures such as buildings, pavements and other
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J. Indian Soc. Remote Sens. (September 2009) 37:527–537
aspect of the natural environment, including soil type, biodiversity, surface water and groundwater (Chen et al., 2008 and Meyer, 1995). LULC changes are important elements of the global environmental change processes (Jaisawal et al., 2001). The detection and monitoring of change using multispectral satellite image has been a topic of interest in remote sensing. Change detection generally employs one of two basic methods: pixel-to-pixel comparison and post-classification comparison (Jaisawal et al., 1999). The post classification method compares two or more separately classified images of different dates (Pilon et al., 1988; Fung and Zhang, 1989). It is considered to be one of the most appropriate and commonly used methods for change detection (Jensen, 1996). The aim of this study was to analyze LULC changes between 1990–2000 and 2002–2005 for the Batala region of Punjab, using Landsat Thematic Mapper (TM) and IRS-1C data that has occurred due to development of canal irrigation, and increased crop production.
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Study area The coordinates of the study area are Longitude 75°00’00" E to 75°30’00" E and
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