View Item 
      •   IPB Repository
      • Dissertations and Theses
      • Undergraduate Theses
      • UT - Faculty of Forestry and Environment
      • UT - Silviculture
      • View Item
      •   IPB Repository
      • Dissertations and Theses
      • Undergraduate Theses
      • UT - Faculty of Forestry and Environment
      • UT - Silviculture
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Pendugaan Biomassa dan Simpanan Karbon di Atas Permukaan Tanah menggunakan Citra Sentinel-2A pada Hutan Mangrove, Tangerang

      Thumbnail
      View/Open
      Cover (380.6Kb)
      Fulltext (1.410Mb)
      Lampiran (512.8Kb)
      Date
      2025
      Author
      Somang, Andi Nabiil Rangga Ramadani
      Kusmana, Cecep
      Putra, Erianto Indra
      Metadata
      Show full item record
      Abstract
      Ekosistem mangrove berperan penting dalam mitigasi perubahan iklim karena memiliki kapasitas simpanan karbon yang tinggi. Penelitian ini bertujuan menduga kandungan biomassa dan potensi simpanan karbon di atas permukaan tanah pada hutan mangrove Desa Lontar, Tangerang menggunakan citra Sentinel-2A. Pengolahan data dilakukan dengan analisis vegetasi untuk mengetahui nilai karbon diatas permukaan tanah dan pengolahan citra Sentinel-2A untuk mengetahui nilai indeks vegetasi. Data dianalisis menggunakan metode uji korelasi dan regresi. Hasil analisis vegetasi menunjukkan total biomassa yang ditemukan pada lokasi penelitian sebesar 113.230,54 kg dan simpanan karbon 37,64 ton/Ha. Hasil pengolahan citra Sentinel-2A menunjukkan Atmospherically Resistant Vegetation Index (ARVI) sebagai indeks vegetasi yang paling efektif dalam menggambarkan kapasitas penyimpanan karbon dengan (r = 0.81) dan R² = 65.16%.
       
      Mangrove ecosystem plays a crucial role in climate change mitigation due to its high carbon storage capacity. This study aims to estimate aboveground biomass and carbon storage potential in the mangrove forest Lontar Village, Tangerang, using Sentinel-2A imagery. Data processing involved vegetation analysis to determine above ground carbon values and processing of Sentinel-2A imagery to obtain values for vegetation indices. Data were analyzed using correlation and regression methods. The vegetation analysis results showed a total biomass of 113,230.54 kg and a carbon stock of 37.64 tons/ha at the study site. The Sentinel-2A imagery analysis identified the Atmospherically Resistant Vegetation Index (ARVI) as the most effective vegetation index to represent carbon storage capacity with a correlation coefficient (r) of 0.81 and R² of 65.16%.
       
      URI
      http://repository.ipb.ac.id/handle/123456789/164081
      Collections
      • UT - Silviculture [1442]

      Copyright © 2020 Library of IPB University
      All rights reserved
      Contact Us | Send Feedback
      Indonesia DSpace Group 
      IPB University Scientific Repository
      UIN Syarif Hidayatullah Institutional Repository
      Universitas Jember Digital Repository
        

       

      Browse

      All of IPB RepositoryCollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

      My Account

      Login

      Application

      google store

      Copyright © 2020 Library of IPB University
      All rights reserved
      Contact Us | Send Feedback
      Indonesia DSpace Group 
      IPB University Scientific Repository
      UIN Syarif Hidayatullah Institutional Repository
      Universitas Jember Digital Repository