IDENTIFIKASI TINGKAT KEPARAHAN KEBAKARAN HUTAN DAN LAHAN MENGGUNAKAN METODE NORMALIZE BURN RATIO (NBR) DAN DIFFERENCE NORMALIZE BURN RATIO (DNBR) DENGAN CITRA LANDSAT 8 (Studi Kasus : KHG Sungai Sugihan – Sungai Saleh, Sumatera Selatan) TAHUN 2019

PURNOMO, DIKANIO HANIF and Khakim, Mokhamad Yusup Nur (2023) IDENTIFIKASI TINGKAT KEPARAHAN KEBAKARAN HUTAN DAN LAHAN MENGGUNAKAN METODE NORMALIZE BURN RATIO (NBR) DAN DIFFERENCE NORMALIZE BURN RATIO (DNBR) DENGAN CITRA LANDSAT 8 (Studi Kasus : KHG Sungai Sugihan – Sungai Saleh, Sumatera Selatan) TAHUN 2019. Undergraduate thesis, Sriwijaya University.

	Text RAMA_45201_08021281924025.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (4MB) | Request a copy
	Text RAMA_45201_08021281924025_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy
	Text RAMA_45201_08021281924025_0004037202_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB)
	Text RAMA_45201_08021281924025_0004037202_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (544kB) | Request a copy
	Text RAMA_45201_08021281924025_0004037202_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (692kB) | Request a copy
	Text RAMA_45201_08021281924025_0004037202_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy
	Text RAMA_45201_08021281924025_0004037202_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (244kB) | Request a copy
	Text RAMA_45201_08021281924025_0004037202_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (371kB) | Request a copy
	Text RAMA_45201_08021281924025_0004037202_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy

Abstract

Based on the 2020 KLHK Statistical Report, forest and land fires in 2019 in Indonesia reached 1,649,258 ha. South Sumatra Province is the province with the highest number of fire areas, reaching 336,798 ha, of which 136,785 ha is peatland. One of the KHGs affected by the karhutla that occurred in South Sumatra was the KHGSS in Banyuasin Regency and Ogan Komering Ilir Regency. Forest and land fires that occurred in the range from August to October 2019 damaged land in KHGSS with an area of around 53,000 ha. The purpose of this study was to identify the severity of the 2019 KHGSS fires using the NBR and dNBR methods. The data used in this study are landsat 8 data, MODIS sensor hotspots, and KHGSS administrative maps. There are 7 classifications of severity, namely high vegetation growth, low vegetation growth, no burning, low fire, medium-low fire, medium-high fire, and high fire. The results of data processing resulted in a total burned area of 63,261.25 Ha. Sampling data of 50 samples in this study came from hotspots which had a 95% confidence level. The results of the accuracy test analysis of this study have a value of 98%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Karhutla, remote sensing, NBR, dNBR, Landsat 8, fire severity, KHGSS.
Subjects:	Q Science > QC Physics > QC801-809 Geophysics. Cosmic physics
Divisions:	08-Faculty of Mathematics and Natural Science > 45201-Physics (S1)
Depositing User:	Dikanio Hanif Purnomo
Date Deposited:	10 Aug 2023 08:11
Last Modified:	10 Aug 2023 08:11
URI:	http://repository.unsri.ac.id/id/eprint/126873

Actions (login required)

View Item