Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Land Use/Land Cover Mapping Of Sub-Upper Krishna Basin, India Using Space Inputs
Mapping of land use/land cover (LULC[1]) of Sub-upper Krishna basin (SUKB[2]), Maharashtra state of India was attempted in this study. It contains of a major tributary of Krishna River which originates near Mahabaleshwar. This study was undertaken prior to hydrological modelling of the basin to map the variations in LULC so as to understand the impact of different LULC classes on hydrological regime. Landsat satellite images of years 1999 and 2016 of same season i.e. pre-monsoon were utilized. Supervised classification technique along with Maximum Likelihood Classification (MLC[3]) algorithm was used to classify the images and Geographic Information System (GIS[4]) was used to display the final results of the study. An accuracy assessment report of classified images was generated using error matrix which included producer, user, and overall accuracies of output and Kappa statistic. The result displayed a Kappa coefficient of 0.80 and 0.78 for 1999 and 2016 respectively which were in a good agreement with ground reality. The analysis showed that fallow land was converted to cropland to a great extent; wasteland to fallow land and grassland in few parts of the basin from 1999 to 2016. The positive change witnessed was the increase in forest area of the basin in 2016, and an interesting observation was that the area of water body did not show a significant increase during seventeen years of time span despite of new reservoirs constructed in the basin. [1] Land use/Land cover [2] Sub-upper Krishna Basin [3] Maximum Likelihood Classification [4] Geographic Information System
Land Use/Land Cover Mapping Of Sub-Upper Krishna Basin, India Using Space Inputs
Mapping of land use/land cover (LULC[1]) of Sub-upper Krishna basin (SUKB[2]), Maharashtra state of India was attempted in this study. It contains of a major tributary of Krishna River which originates near Mahabaleshwar. This study was undertaken prior to hydrological modelling of the basin to map the variations in LULC so as to understand the impact of different LULC classes on hydrological regime. Landsat satellite images of years 1999 and 2016 of same season i.e. pre-monsoon were utilized. Supervised classification technique along with Maximum Likelihood Classification (MLC[3]) algorithm was used to classify the images and Geographic Information System (GIS[4]) was used to display the final results of the study. An accuracy assessment report of classified images was generated using error matrix which included producer, user, and overall accuracies of output and Kappa statistic. The result displayed a Kappa coefficient of 0.80 and 0.78 for 1999 and 2016 respectively which were in a good agreement with ground reality. The analysis showed that fallow land was converted to cropland to a great extent; wasteland to fallow land and grassland in few parts of the basin from 1999 to 2016. The positive change witnessed was the increase in forest area of the basin in 2016, and an interesting observation was that the area of water body did not show a significant increase during seventeen years of time span despite of new reservoirs constructed in the basin. [1] Land use/Land cover [2] Sub-upper Krishna Basin [3] Maximum Likelihood Classification [4] Geographic Information System
Land Use/Land Cover Mapping Of Sub-Upper Krishna Basin, India Using Space Inputs
Ashtekar, Avinash S. (Autor:in) / M.A., Mohammed-Aslam (Autor:in)
27.01.2019
International Journal of Innovative Knowledge Concepts; Vol 7 No 1 (2019): January; 113-122 ; 2454-2415
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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