Literature DB >> 25952681

Prioritization of catchments based on soil erosion using remote sensing and GIS.

Gajanan K Khadse1, Ritesh Vijay, Pawan K Labhasetwar.   

Abstract

Water and soil are the most essential natural resources for socioeconomic development and sustenance of life. A study of soil and water dynamics at a watershed level facilitates a scientific approach towards their conservation and management. Remote sensing and Geographic Information System are tools that help to plan and manage natural resources on watershed basis. Studies were conducted for the formulation of catchment area treatment plan based on watershed prioritization with soil erosion studies using remote sensing techniques, corroborated with Geographic Information System (GIS), secondary data and ground truth information. Estimation of runoff and sediment yield is necessary in prioritization of catchment for the design of soil conservation structures and for identifying the critical erosion-prone areas of a catchment for implementation of best management plan with limited resources. The Universal Soil Loss Equation, Sediment Yield Determination and silt yield index methods are used for runoff and soil loss estimation for prioritization of the catchments. On the basis of soil erosion classes, the watersheds were grouped into very high, high, moderate and low priorities. High-priority watersheds need immediate attention for soil and water conservation, whereas low-priority watershed having good vegetative cover and low silt yield index may not need immediate attention for such treatments.

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Year:  2015        PMID: 25952681     DOI: 10.1007/s10661-015-4545-z

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  3 in total

1.  Evaluation of the relationship between soil erosion and landscape metrics across Gorgan Watershed in northern Iran.

Authors:  Fazlolah Ahmadi Mirghaed; Bubak Souri; Marjan Mohammadzadeh; Abdolrassoul Salmanmahiny; Seyed Hamed Mirkarimi
Journal:  Environ Monit Assess       Date:  2018-10-18       Impact factor: 2.513

2.  Assessment of potential changes in soil erosion using remote sensing and GIS: a case study of Dacaozi Watershed, China.

Authors:  Jun Huang
Journal:  Environ Monit Assess       Date:  2018-11-20       Impact factor: 2.513

3.  Soil loss estimation and prioritization of sub-watersheds of Kali River basin, Karnataka, India, using RUSLE and GIS.

Authors:  Vipin Joseph Markose; K S Jayappa
Journal:  Environ Monit Assess       Date:  2016-03-11       Impact factor: 2.513

  3 in total

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