RS and GIS Application for Land use land cover Mapping of the Narihalla Watershed Sandur, Bellary District, Karnataka, India
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2022
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| author | Vasanth Patil S. B Venkataiah C Basavaraj Hatti |
| author_facet | Vasanth Patil S. B Venkataiah C Basavaraj Hatti |
| contents | In the present study, we created a land use and land cover map of the Narihalla watershed in Sandur Taluk, Bellary District of Karnataka using IRS LISS III satellite and Google Earth images on a 1:50,000 scale, along with collateral data such as topographic maps on the same scale in GIS platform, using ArcGIS, ERDAS, and QGIS software. In this study, the major land use land cover is categorized into five types, which are as follows: Built-up land, Agricultural land, Forest land, Wasteland, and Water bodies. All settlements are included in built-up land. Cropland, fallow land, and plantation land are all forms of agricultural land. Scrub degraded forest land, forest plantation are examples of forest land. Wasteland was defined as land with and without scrub, barren rock/stony waste, and mining/industrial waste, and water bodies were defined as streams, reservoirs, and lakes. Image features such as tone, texture, shape, color, association, and so on are interpreted using the Classification scheme developed by National Remote Sensing Agency (NRSA, 1995) standard methods. During the interpretation, doubtful units are verified by field verification. From this study, we estimated agricultural land covered a maximum area of about 44%, Forest, Built-up land, wasteland, and water bodies cover an area of about 32.7%, 3.50%,18.23%, and 2.05% respectively. Remote sensing and GIS techniques are extremely useful tools for effectively delineating land use and land cover maps, which saves time and money and gives a solution for future LU/LC management plans. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18430601 |
| institution | Zenodo |
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| publishDate | 2022 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | RS and GIS Application for Land use land cover Mapping of the Narihalla Watershed Sandur, Bellary District, Karnataka, India Vasanth Patil S. B Venkataiah C Basavaraj Hatti RS and GIS Narihalla watershed Land use land cover pattern. In the present study, we created a land use and land cover map of the Narihalla watershed in Sandur Taluk, Bellary District of Karnataka using IRS LISS III satellite and Google Earth images on a 1:50,000 scale, along with collateral data such as topographic maps on the same scale in GIS platform, using ArcGIS, ERDAS, and QGIS software. In this study, the major land use land cover is categorized into five types, which are as follows: Built-up land, Agricultural land, Forest land, Wasteland, and Water bodies. All settlements are included in built-up land. Cropland, fallow land, and plantation land are all forms of agricultural land. Scrub degraded forest land, forest plantation are examples of forest land. Wasteland was defined as land with and without scrub, barren rock/stony waste, and mining/industrial waste, and water bodies were defined as streams, reservoirs, and lakes. Image features such as tone, texture, shape, color, association, and so on are interpreted using the Classification scheme developed by National Remote Sensing Agency (NRSA, 1995) standard methods. During the interpretation, doubtful units are verified by field verification. From this study, we estimated agricultural land covered a maximum area of about 44%, Forest, Built-up land, wasteland, and water bodies cover an area of about 32.7%, 3.50%,18.23%, and 2.05% respectively. Remote sensing and GIS techniques are extremely useful tools for effectively delineating land use and land cover maps, which saves time and money and gives a solution for future LU/LC management plans. |
| title | RS and GIS Application for Land use land cover Mapping of the Narihalla Watershed Sandur, Bellary District, Karnataka, India |
| topic | RS and GIS Narihalla watershed Land use land cover pattern. |
| url | https://doi.org/10.5281/zenodo.18430601 |