Assessing forest health using remote sensing-based indicators and fuzzy analytic hierarchy process in Valmiki Tiger Reserve, India

dc.contributor.authorRoshani
dc.contributor.authorSajjad, H.
dc.contributor.authorRahaman, M.H.
dc.contributor.authorRehman, S.
dc.contributor.authorMasroor, M.
dc.contributor.authorAhmed, R.
dc.date.accessioned2026-02-04T12:26:23Z
dc.date.issued2023
dc.description.abstractAnthropogenic activities, climate variability and environmental stresses have greatly affected forest ecosystems globally. Thus, monitoring of forest health is essential for proper planning and effective management. The present study employed an integrated approach of remote sensing and fuzzy analytic hierarchy process to assess the forest health in the Valmiki Tiger Reserve in India. Advanced vegetation index, normalized difference vegetation index, normalized difference moisture index, forest fragmentation, rainfall and soil types were derived from remote sensing data. Multiple buffer zones of villages, roads, railways and canals were also determined for analyzing the forest health status. These layers were prepared in the geographical information system. These layers were given weightage using fuzzy analytic hierarchy process. These layers were integrated to prepare forest health map using weighted overlay method. The results revealed that the largest forest area was found under moderately healthy forest (37%) followed by healthy forest (31%) and unhealthy forest (13%). Of the total area of the Reserve, 19% area was under non-forest category. Human-induced disturbances such as encroachment, illegal sand mining, livestock grazing and forest conversion to agriculture have been attributed to the unhealthy forest in the Reserve. The receiver operating characteristic curve value and area under curve (0.792) show reliability of forest health map. The findings of this study may be helpful for forest managers, conservationists and local communities in devising sustainable strategies for effective management of the forest. The methodological framework adopted in this study may be utilized in other geographical regions interested in assessing forest health. © 2022, The Author(s) under exclusive licence to Iranian Society of Environmentalists (IRSEN) and Science and Research Branch, Islamic Azad University.
dc.identifier.citationInternational Journal of Environmental Science and Technology, 2023, 20, 8, pp. 8579-8598
dc.identifier.issn17351472
dc.identifier.urihttps://doi.org/10.1007/s13762-022-04512-1
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/21817
dc.publisherInstitute for Ionics
dc.subjectAnalytic hierarchy process
dc.subjectBiodiversity
dc.subjectConservation
dc.subjectEcosystems
dc.subjectEnvironmental protection
dc.subjectGeographical regions
dc.subjectHealth
dc.subjectRemote sensing
dc.subjectVegetation
dc.subjectAnthropogenic activity
dc.subjectEffective management
dc.subjectForest disturbances
dc.subjectForest health
dc.subjectFuzzy analytic hierarchy
dc.subjectGeospatial techniques
dc.subjectProtected areas
dc.subjectRemote-sensing
dc.subjectSite-specific
dc.subjectSite-specific factor
dc.subjectForestry
dc.subjectagriculture
dc.subjectforest health
dc.subjectfuzzy mathematics
dc.subjectgrazing
dc.subjectgrazing pressure
dc.subjectintegrated approach
dc.subjectlivestock
dc.subjectrainfall
dc.subjectremote sensing
dc.subjectsoil type
dc.subjectIndia
dc.titleAssessing forest health using remote sensing-based indicators and fuzzy analytic hierarchy process in Valmiki Tiger Reserve, India

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