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Combining Geographical Information System (GIS) and machine learning to monitor and predict vegetation vulnerability: An Empirical Study on Nijhum Dwip, Bangladesh

Shahriar Abdullah, Dhrubo Barua

2022Ecological Engineering17 citationsDOI

Topics & Concepts

Normalized Difference Vegetation IndexReforestationVegetation (pathology)Vulnerability (computing)GeographyCartographyArtificial neural networkGeographic information systemGeoinformaticsEnvironmental resource managementComputer sciencePhysical geographyEnvironmental scienceMachine learningForestryEcologyClimate changeComputer securityPathologyMedicineBiologyLand Use and Ecosystem ServicesConservation, Biodiversity, and Resource ManagementRemote Sensing in Agriculture
Combining Geographical Information System (GIS) and machine learning to monitor and predict vegetation vulnerability: An Empirical Study on Nijhum Dwip, Bangladesh | Litcius