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PENERAPAN METODE SUPERVISED KLASIFIKASI MAXIMUM LIKELIHOOD UNTUK ANALISA PERUBAHAN TUTUPAN VEGETASI LAHAN GAMBUT MENGGUNAKAN DATA PENGINDERAAN JAUH (Studi Kasus: KHG Kabupaten Banyuasin Sumatera Selatan)

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Peat has a function as a carbon sink to reduce greenhouse gases. If the peatland is dry, it will burn easily, and will cause problems for the surrounding environment. This study aims to determine changes in peatland vegetation cover on peatlands in Banyuasin Regency, South Sumatra before fire, after fire, and after restoration, so that it can be considered in taking action for effective and efficient peatland management. The data used are Landsat 8 images for 2018, 2020 and 2021. To see the condition of the vegetation, the NDVI (Normalized Difference Vegetation Index) parameter is used, while the NDMI (Normalized Difference Moisture Index) parameter is for moisture analysis. Land cover classification was carried out using the supervised maximum likelihood method. The results of the classification accuracy in this study reached 95.71%. From the land cover map there was a significant change in peatland vegetation class cover from 2018 to 2021, with an increase in open land area and a decrease in vegetation area after the 2019 fires, indicated by the vegetation index (NDVI) experiencing a decrease in the health of the vegetation after the fires. The humidity level of the land has increased when viewed from the humidity index (NDMI), and also the appearance of some vegetation on open land in 2021 after restoration. Rainfall plays an important role in peatland conditions, with low rainfall increasing the risk of fire and affecting the health of vegetation.

Availability
Inventory Code Barcode Call Number Location Status
2307003004T126695T1266952023Central Library (Referens)Available
Detail Information
Series Title
-
Call Number
T1266952023
Publisher
Indralaya : Jurusan Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sriwijaya.,
Collation
xi, 41 hlm.; Ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
530.028 507
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Jurusan Fisika
Pengolahan dan Analisa Data di Bidang Fisika
Specific Detail Info
-
Statement of Responsibility
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No other version available

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