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ISSN 2063-5346
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REMOTE SENSING AND GIS APPLICATION IN MORPHOMETRIC ANALYSIS OF MAHILPUR BLOCK, HOSHIARPUR, PUNJAB

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Jasvinder Kaur1* , Amandeep Singh2 , Rajesh Jolly
» doi: 10.48047/ecb/2023.12.si5a.047

Abstract

The current study seeks to evaluate watershed resource management in Hoshiarpur District, Punjab. Water is an essential source for all living organisms on Earth. It is important that we use it wisely and sustainably to ensure that it is available for future generations. The geomorphology of watersheds, for example, may be mapped and monitored using remote sensing techniques. Geographical information systems and remote sensing are proven to be efficient tools for locating water harvesting structures by prioritization of miniwatersheds through morphometric analysis. For prioritization of watersheds, morphometric analysis is utilized by using the linear parameters such as bifurcation ratio, drainage density, stream frequency, texture ratio, and length of overland flow and shape parameters such as form factor, shape factor, elongation ratio, compactness constant, and circularity ratio. With the use of GIS, this process becomes easier, less stressful, and the degree of accuracy achieved is quite high. Although GIS is not a particularly ancient technology, we are constantly looking for new applications and opportunities. The first stage in any management operation is to determine the watershed area. Having a distinct region and a shared drainage point, a watershed is a natural hydrological unit. Since natural resources like soil, water, and plants are under extreme stress from biotic demand that is only growing, watershed management is an all-encompassing strategy for sustainable management and conservation of these resources GIS and remote sensing techniques are employed in action plans for the conservation of land and water resources. Topographical and cadastral maps from the Survey of India. Maps are used to create spatial databases that include information on the topography, vegetation, soil types, land use, geology, drainage, and network of stream channels. This primary resource data is used to build secondary vector layers and data structures for slope, erosion class, soil depth, land capability, etc. In order to find a viable solution for the watershed region, specific challenges are identified based on guidelines that have been developed. This Research will go over GIS and remote sensing methods for managing watersheds.

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