Assessment of Land Use/Land Cover Using Geospatial Techniques in a Semi-arid Region of Madhya Pradesh, India (original) (raw)
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TJPRC, 2013
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Environment & We An International Journal of Science & Technology, 2016
The present study attempts to generate land-use/land-cover (LULC) map using standard (FCC) satellite imagery of IRS P6 LISS III for Samastipur District (India). Multi temporal IRS satellite images acquired during three crop growing seasons viz., Kharif (July-November), Rabi (December-March) and Zaid (April-July) were used to map the spatial and temporal variability in cropping pattern and other land use and land cover classes using visual interpretation technique. Among the various classes of landuse/ land cover, agricultural land is the predominant category occupying 2276.58 sq km (85.02 %) of the area. Among agricultural land, agricultural land-two crop area comprising (32.13%) and agricultural land-rabi crop (29.88%) constitute the dominant categories. It is estimated that built up constitutes 219.65 sq km comprising 8.20% of the total area. Based on selective field checks, the overall classification accuracy of the LULC map derived from the satellite image was 90% with the Kappa coefficient of 0.83. Therefore, integrated geospatial approach, incorporating remote sensing and GIS techniques, is a powerful technique for mapping and evaluating the LULC categories.
International Journal of Applied Social Science, 2022
The term "Land Use/Land Cover" (LULC) often refers to the classification of human activities and natural elements on the landscape throughout a specified time period using recognized scientific and statistical methods of analysis of various source materials. Several other classification systems can be used to classify it. Built-up or urban land, agricultural land, forest land, and many other types of land are examples of LULC components. Wide-ranging uses for LULC (Ghosh et al., 1996) maps include natural resource management, baseline mapping for GIS input, legal borders for tax and property evaluation, and many more. Without the aid of additional geographic information, LULC mapping is not feasible (Reddy, 2001). The earth's surface's physical material is known as the land cover (Haines, 2009). The concept of "land use"
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Earth's surface data are analysed for various domains of policy, designing and management goals. Over the last 3 centuries, rapid growth in population and economic boom have initiated fast changes on land cover and there's impact will accelerate in the future. These fast changes are superposed on long-term dynamics associated with climate variability. The present study aims to map and monitor the existing Land Use/ Land Cover (LU/LC) classification scientifically using geospatial tools in database generation, analyses and information extraction. There are totally different views within the classification method, and therefore the method itself tends to be subjective, even once an objective numerical approach is employed. Land use Land cover of Level-I, Level-II and Level-III LU/LC classifications are delineated through NRSC standards (2011) using both Digital Image Processing (DIP) and Visual Image Interpretation Techniques (VIIT) with limited Ground Truth Check (GTC). The results portray the geospatial capability in best and sustainable land cover designing of natural resources and its management.
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