scholarly journals Land Use/Land Cover Mapping of Sambar Watershed by Using Remote Sensing and GIS

2021 ◽  
Vol 10 (9) ◽  
pp. 578-585
Author(s):  
B. Varpe Shriniwas D. Payal Sandip
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Remote Sensing And Gis ◽  
Rapid Expansion ◽  
Water Bodies ◽  
Land Cover Mapping ◽  
Fallow Land ◽  
Land Use Land Cover ◽  
Barren Land

In the present study, an effort has been made to study in detail of Land Use/Land Cover Mapping for Sambar watershed by using Remote Sensing and GIS technique was carried out during the year of 2020-2021 in Parbhani district. In this research the Remote Sensing and Geographical Information system technique was used for identifying the land use/land cover classes with the help of ArcGIS 10.8 software. The Sambar watershed is located in 19º35ʹ78.78˝ N and 76º87ʹ88.44˝ E in the Parbhani district of Marathwada region in Maharashtra. It is covered a total area 97.01 km2. The land use/land cover map and its classes were identified by the Supervised Classification Method in ArcGIS 10.8 software by using the Landsat 8 satellite image. Total six classes are identified namely as Agricultural area, Forest area, Urban area, Barren land, Water bodies and Fallow land. The Agricultural lands are well distributed throughout the watershed area and it covers 4135 ha. (43 per cent). Forest occupies 502 ha area and sharing about 5 per cent of the total land use land cover of the study area. The Urban land occupies 390 ha. area (4 per cent) and there was a rapid expansion of settlement area. Barren land occupies 3392 ha. area (35 per cent). A water bodies occupy 630 ha. area (6 per cent) and the Fallow land occupies 650 ha (7 per cent) but well-developed dendritic drainage pattern and good water availability is in the Sambar watershed.

scholarly journals Approach of Remote Sensing and GIS Techniques of Land Use and Land Cover Mapping –Patna Municipal Corporation, (PMC) Patna, Bihar, India

2020 ◽  
pp. 371-377
Author(s):  
Mohammad Yasir Ahmad ◽  
Nikhat Hassan Munim
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Maximum Likelihood ◽  
Land Cover ◽  
Water Bodies ◽  
Fallow Land ◽  
Land Use Land Cover ◽  
Gis Techniques ◽  
Agriculture Land ◽  
The City

The approach of Remote Sensing (RS) and Geographical Information System (GIS) for the preparation of land use land cover (LULC) mapping is an essential aspect of planning and development activities for earth resource management. This paper investigates land use land cover (LULC) map of Patna Municipal Corporation (PMC), Patna, Bihar, India. The City Patna (PMC) is a fast developing city and emerging economic centre in Bihar. The population of the city (PMC) is growing day by day, and rapid migration from the different parts of the Bihar resulted from rapid urbanization. We offer RS and GIS techniques delineated different LULC of the PMC study area. LULC was done through False Color Composite (FCC) Satellite Image, Resourcesat-2A Linear Imaging Self Scanning Sensor IV (LISS-IV) with 5.8-meter spatial resolution data of the year 2018. The supervised classification and maximum likelihood classification were used to classified LISS IV images. The LULC map was created five different classes identified water bodies, agriculture land, fallow land, wasteland, built-up land, and vegetation of the study area. The advantages of MLC method in which a pixel with the maximum likelihood is classified into the corresponding class based on a probability function determines the variance and covariance of each theme. The LULC result showed that maximum area under PMC was covered with a built-up area of 70.80 Sq. Km. is higher than the others because of the rapidly growing population. Agriculture land, fallow land, and vegetation occupied area of 31.7 Sq.Km., while the wasteland constituted around 11.86 Sq. Km and water bodies covered around 5.8 Sq.Km. The accuracy was done through field verification and Satellite (Google) image.

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