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Land Use Land Cover Analysis of Khapri Watershed in Dang District Using Remote Sensing (RS) and Geographical Information System (GIS)

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Intelligent Computing & Optimization (ICO 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 866))

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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

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Correspondence to Ashish Guruji .

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00978-6

  • Online ISBN: 978-3-030-00979-3

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