A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Land Use Land Cover Change Detection of the Tons River Basin Using Remote Sensing and GIS
Land use and land cover are the two separate but related concepts that are predominant characteristics of the land. In general, land cover is defined as the observed surface cover on the ground, such as vegetation, water bodies, barren land, or man-made features, while land use refers to the purpose for which land is being used. Land use and land cover (LULC) change have a significant impact on water resources. Hence, it has become one of the critical components in most studies related to water resources. Remote sensing (RS) and Geographical Information System (GIS) techniques are extensively used to detect the location of changes, type of changes, and quantification of changes in LULC. In this study, an attempt is made to detect a change in LULC in the past three decades (1985–2015) for the Tons river basin, a sub-basin of the Ganges river basin. The supervised classification method was employed to classify the satellite images of the years 1985, 1995, 2005, and 2015 to study the change in LULC. The Maximum Likelihood Classification (MLC) method was used for the classification. Landsat 5 Thematic Mapper (TM) and Landsat 8 Operational Land Imager (OLI) datasets were used to prepare LULC maps. Seven LULC class types are observed in the basin, namely agricultural land, barren land, built-up area, dense forest, open forest, shrubland, and water. The LULC study showed agricultural land is the dominant class in the basin, followed by forest land, the second dominant class. An increase in built-up area from 45.73 km2 (1985) to 105.41 km2 in 2015 shows rapid urbanization. Some change in water body class was also seen, which increased from 235.24 km2 in 1985 to 255.96 km2 in 1995, it showed a decrease in the area up to 211.38 km2 in 2015. There was an increase in open forest area, and no significant change was observed for agricultural land. The overall classification accuracy varies from 85.4 to 90.6%, and the kappa coefficient value varies from 0.83 to 0.89 shows the satisfactory classification of the satellite-derived LULC maps.
Land Use Land Cover Change Detection of the Tons River Basin Using Remote Sensing and GIS
Land use and land cover are the two separate but related concepts that are predominant characteristics of the land. In general, land cover is defined as the observed surface cover on the ground, such as vegetation, water bodies, barren land, or man-made features, while land use refers to the purpose for which land is being used. Land use and land cover (LULC) change have a significant impact on water resources. Hence, it has become one of the critical components in most studies related to water resources. Remote sensing (RS) and Geographical Information System (GIS) techniques are extensively used to detect the location of changes, type of changes, and quantification of changes in LULC. In this study, an attempt is made to detect a change in LULC in the past three decades (1985–2015) for the Tons river basin, a sub-basin of the Ganges river basin. The supervised classification method was employed to classify the satellite images of the years 1985, 1995, 2005, and 2015 to study the change in LULC. The Maximum Likelihood Classification (MLC) method was used for the classification. Landsat 5 Thematic Mapper (TM) and Landsat 8 Operational Land Imager (OLI) datasets were used to prepare LULC maps. Seven LULC class types are observed in the basin, namely agricultural land, barren land, built-up area, dense forest, open forest, shrubland, and water. The LULC study showed agricultural land is the dominant class in the basin, followed by forest land, the second dominant class. An increase in built-up area from 45.73 km2 (1985) to 105.41 km2 in 2015 shows rapid urbanization. Some change in water body class was also seen, which increased from 235.24 km2 in 1985 to 255.96 km2 in 1995, it showed a decrease in the area up to 211.38 km2 in 2015. There was an increase in open forest area, and no significant change was observed for agricultural land. The overall classification accuracy varies from 85.4 to 90.6%, and the kappa coefficient value varies from 0.83 to 0.89 shows the satisfactory classification of the satellite-derived LULC maps.
Land Use Land Cover Change Detection of the Tons River Basin Using Remote Sensing and GIS
Water Sci.,Technol.Library
Pandey, Ashish (editor) / Chowdary, V. M. (editor) / Behera, Mukunda Dev (editor) / Singh, V. P. (editor) / Kalura, Praveen (author) / Pandey, Ashish (author) / Chowdary, V. M. (author) / Raju, P. V. (author)
2021-12-07
13 pages
Article/Chapter (Book)
Electronic Resource
English
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