2018
DOI: 10.9734/jgeesi/2018/40792
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Analysing Spectral Indices and Land use of Wayanad Wildlife Sanctuary, Kerala

Abstract: Geospatial tools play significant role in forest ecology and management, where vegetation indices and transformations have been extensively used for vegetation characterization. Hence, in this study, an attempt has been made to characterize the various hydrologic regimes in Wayanad Wildlife Sanctuary, Wayanad district, Kerala using geospatial tools. The study area was focused on Muthanga , a part of the Wayanad Wildlife Sanctuary of Wayanad district, Kerala with an area of 87.13 km 2 , where the major vegetati… Show more

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Cited by 3 publications
(2 citation statements)
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“…Continuous monitoring using forest cover maps ensures timely responses to potential threats to forests, contributing to global efforts to combat deforestation, conserve biodiversity, and mitigate climate change impacts. As Similipal is a large area of natural vegetation is very di cult to nd changes from land use land cover classi cation (Vineetha et al, 2018). We nd changes from the above satellite imageries when processed with geo-spatial algorithm (Fig.…”
Section: Forest Cover Maps Of Similipal (Using Gis)mentioning
confidence: 93%
“…Continuous monitoring using forest cover maps ensures timely responses to potential threats to forests, contributing to global efforts to combat deforestation, conserve biodiversity, and mitigate climate change impacts. As Similipal is a large area of natural vegetation is very di cult to nd changes from land use land cover classi cation (Vineetha et al, 2018). We nd changes from the above satellite imageries when processed with geo-spatial algorithm (Fig.…”
Section: Forest Cover Maps Of Similipal (Using Gis)mentioning
confidence: 93%
“…You may create accurate and dependable land cover maps for a variety of uses by customising the feature engineering, data processing, and model parameters to your unique study region and land cover classes. (Vineetha et al, 2018). We nd changes from the above satellite imageries when processed with google earth engine shown in (Fig.…”
Section: Accuracy Assessmentmentioning
confidence: 96%