Abstract
India has two important resources, cultivable land and fresh water. Land use and land cover constitutes key ecological data for many scientific, exploratory resource management and policy purposes, as well as for a range of human activities. The land use type has considerable impact on the nature of runoff and related hydrological characteristics. In this paper, attempt was made to know land cover and land use (LULC) by analyzing Satellite images. Agriculture, Built up, Dense Forest, Sparse Forest and Water Body are different categories of Land Use and Land Cover found out from satellite image of 2018, 2009 and 1997. From satellite image analysis of 2018 and 1997, it is found that Agriculture area increase by 21%. Dense Forest decrease continuously but Sparse forest increase steadily. Ground Truth has been verified for Agriculture and Dense Forest using GPS instrument.
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References
Amruth Chand, B., Varija K.: Quantifying the effect of land use land cover change in Pavanje river Basin and its effect in Pavanje River. In: 20th International Conference on Hydraulics, Water Resources and River Engineering, IIT Roorkee, Roorkee (2015)
Duulatov, E., Xi, C., Kurban, A., Ndayisaba, F., Monoldorova, A.: Detecting land use/land cover change using landsat imagery: Jumbal district, Kyrgyzstan. Int. J. Geoinf, 1–7 (2016). ISSN 1689-6576
Guruji, A.L.: Land use and land cover analysis of Khapri watershed in Dangs District using RS ad GIS. Bhaskaracharya Institute for Space Applications and Geo-informatics, Department of Science & Technology, Government of Gujarat, Gandhinagar, India (2018)
Kotha, M., Kunte, P.D.: Land-cover change in Goa-An integrated RS-GIS approach. Int. J. Geoinf., 37–43 (2013). ISSN 1689-6576
Matkar, P.S., Zende, A.M.: Land use/land cover changes patterns using geospatial techniques-Satara district, Maharastra, India: a case study. In: Hydro-2017 International Conference of Hydraulics, Water Resources and Costal Engineering, L.D. College of Engineering, Ahmedabad, Gujarat, India, pp. 1837–1846 (2018)
Shilpi, S.R.M.: Change detection and hydrologic responses simulation for LULC change using remote sensing and GIS. In: 20th International Conference on Hydraulics, Water Resources and River Engineering, IIT Roorkee, Roorkee (2015)
Final District Agriculture Plan (Dangs), Water and Power Consultancy Services (India) Limited (2013)
Water Resources Information System of India, http://www.india-wris.nrsc.gov.in/wrpinfo/index.php?title=Basins
United State Geological Survey EarthExplorer, https://earthexplorer.usgs.gov/
Physical Features, http://nwda.gov.in/upload/uploadfiles/files/9904183747.pdf
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Guruji, A., Agnihotri, P. (2019). Land Use Land Cover Analysis of Khapri Watershed in Dang District Using Remote Sensing (RS) and Geographical Information System (GIS). In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing & Optimization. ICO 2018. Advances in Intelligent Systems and Computing, vol 866. Springer, Cham. https://doi.org/10.1007/978-3-030-00979-3_47
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DOI: https://doi.org/10.1007/978-3-030-00979-3_47
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