REMOTE SENSING APPROACH FOR ESTIMATING AGROFORESTRY AREA, SUITABILITY MAPPING AND CARBON SEQUESTRATION POTENTIAL OF AGROFORESTRY SYSTEMS IN SOLAN DISTRICT OF HIMACHAL PRADESH

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dc.contributor.advisorDR Bhardwaj
dc.contributor.authorDIVYA KHATRI
dc.date.accessioned2024-05-16T14:29:37Z
dc.date.available2024-05-16T14:29:37Z
dc.date.issued2024-04-24
dc.description.abstractThe present investigation entitled " Remote sensing approach for estimating agroforestry area, suitability mapping and carbon sequestration potential of agroforestry systems in Solan district of Himachal Pradesh " was carried out in Solan district of the Himachal Pradesh during the year 2021- 2023 for delineation of area under agroforestry practices, assessment of land suitability to agroforestry and estimation of carbon stock and carbon sequestration potential. The study demonstrates the superior performance of the random forest classification in land use mapping, particularly in Solan district. The district's land cover distribution, as determined by the random forest classifier, reveals that agroforestry constitutes 26.34 percent, making it the second-largest land cover. Forested areas encompass 43.40 percent, while agriculture occupies 9.03 percent. Grasslands and built-up areas contribute 7.03 percent and 6.77 percent, respectively. Barren land makes up 6.24 percent, and water bodies account for 1.20 percent of the district's total land cover. The overall accuracy of the classification is commendable at 85.78%, accompanied by a robust Kappa Coefficient of 0.8092. Notably, agroforestry class exhibits high accuracy, with producer and user accuracies reaching 88.56% and 80.81%, respectively. Utilizing the analytic hierarchy process (AHP), the study categorizes 17.32 per cent of the district as highly suitable for agroforestry, 22.37 per cent as moderately suitable, 20.19 per cent as marginally suitable, 26.45 per cent as currently not suitable, and 13.67% as permanently not suitable. Employing the Fuzzy-AHP technique, the results indicate 11.33 per cent highly suitable, 24.76 per cent moderately suitable, 15.74 per cent marginally suitable, 26.30 per cent currently not suitable, and 21.87 per cent permanently not suitable for agroforestry in Solan district. In terms of environmental impact, the projected carbon storage of 22.807 Tg C shows a substantial increase of 1.780 Tg C over 20 years, contributing to climate change mitigation. The Net Present Value of carbon sequestration is estimated at $27.037 million. Overall, the findings provide valuable insights for policymakers, facilitating informed decision-making and intervention strategies for the adoption, development, and management of agroforestry in Solan District, to address the challenges posed by climate change.
dc.identifier.urihttps://krishikosh.egranth.ac.in/handle/1/5810209094
dc.keywordsCARBON SEQUESTRATION POTENTIAL OF AGROFORESTRY SYSTEMS IN SOLAN DISTRICT OF HIMACHAL PRADESH
dc.keywordsREMOTE SENSING APPROACH FOR ESTIMATING AGROFORESTRY AREA
dc.keywordsSUITABILITY MAPPING
dc.language.isoEnglish
dc.pages165+x
dc.publisherUHF Nauni
dc.subSilviculture and Agroforestry
dc.theme"Remote sensing approach for estimating agroforestry area, suitability mapping and carbon sequestration potential of agroforestry systems in Solan district of Himachal Pradesh"
dc.these.typePh.D
dc.titleREMOTE SENSING APPROACH FOR ESTIMATING AGROFORESTRY AREA, SUITABILITY MAPPING AND CARBON SEQUESTRATION POTENTIAL OF AGROFORESTRY SYSTEMS IN SOLAN DISTRICT OF HIMACHAL PRADESH
dc.typeThesis
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