The Analysis of Land Use Land Cover Changes Using Geoinformatics and Its Relation to ChangingPopulation Scenariosin Barasat Municipality in North Twenty Four Parganas, West Bengal
Journal Title: International Journal of Humanities and Social Science Invention - Year 2017, Vol 6, Issue 8
Abstract
The scenarios of land use land cover of any urban area is significantly shown with the representation of land use land cover maps and different indices such as NDVI, MNDWI, NDBI, BUI. The changes of land use land cover is a common fact in the urban area at present. The rapid increasing of population is one of the most significant factors of land use land cover changes. The present study shows such types of LULC changes and its relation to population changes with the selected objectives and methodologies. In the present study, mainly secondary databases and geo-informatics are used for completion of the study. Here, the change of LULC in the study area is represented with the same LULC maps and index values. Besides, the population changes of changing situation of LULC is also correlated and justified with analysis of variance and significance test of correlation-regression analysis. The overall result shows that the land use land cover is changed rapidly in the period of 1990 to 2000 and 2016 in a progressive way in the case of built-up areas (percentage values of area under settlement are 10.313, 34.0505, 56.9974 respectively) and in a regressive way in the case of non-built-up areas (percentage values of areas under water bodies is 42.466, 15.7728, 14.3585, under vegetation is 26.614, 16.4874, 14.3099, under barren land is 18.454, 17.5605,0respectively).In the case of fallow land, the percentage of area is firstly increased in 2000 (area is 16.1288 %) than 1990 (2.1526%) and then decreased in 2016 (14.3342%). Finally, the correlations in between the NDVI, MNDWI, NDBI and NDBI are significant where p<0.01. Besides, the relationships of population with water bodies, vegetation, barren land, fallow land and settlement are not significant with the value of p which is greater than 0.05 with 95 % of confidence level.
Authors and Affiliations
Tanmoy Basu, Sujit Kumar Saha
Keywords
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