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Protocols for Riverine Wetland Mapping and Classification Using Remote Sensing and GIS


Affiliations
1 Department of Earth Sciences, Indian Institute of Technology Kanpur, Kanpur 208 016, India
 

Wetlands are one of the most important ecological environments that also have high socio-economic importance. India hosts a large number of wetlands, among which most are in the Indo-Gangetic Plains formed by riverine processes. In order to understand the extensive system of riverine wetlands and their distinction from other floodplain water bodies, mainly the waterlogged areas, a mapping and classification system has been proposed and applied for wetlands in the Begusarai district of north Bihar plains, India. The proposed hydro-geomorphic classification system is hierarchical, simple, and robust, and can be implemented through quick processing of satellite images integrated with minimal ancillary data.

Keywords

Hydro-Geomorphology, Mapping and Classification, Waterlogging, Wetlands.
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  • Protocols for Riverine Wetland Mapping and Classification Using Remote Sensing and GIS

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Authors

Rajiv Sinha
Department of Earth Sciences, Indian Institute of Technology Kanpur, Kanpur 208 016, India
Shivika Saxena
Department of Earth Sciences, Indian Institute of Technology Kanpur, Kanpur 208 016, India
Manudeo Singh
Department of Earth Sciences, Indian Institute of Technology Kanpur, Kanpur 208 016, India

Abstract


Wetlands are one of the most important ecological environments that also have high socio-economic importance. India hosts a large number of wetlands, among which most are in the Indo-Gangetic Plains formed by riverine processes. In order to understand the extensive system of riverine wetlands and their distinction from other floodplain water bodies, mainly the waterlogged areas, a mapping and classification system has been proposed and applied for wetlands in the Begusarai district of north Bihar plains, India. The proposed hydro-geomorphic classification system is hierarchical, simple, and robust, and can be implemented through quick processing of satellite images integrated with minimal ancillary data.

Keywords


Hydro-Geomorphology, Mapping and Classification, Waterlogging, Wetlands.

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DOI: https://doi.org/10.18520/cs%2Fv112%2Fi07%2F1544-1552