CD Skripsi

Analisis Spasial Temporal Kebakaran Hutan Dan Lahan Serta Karbon Monoksida (Co) Menggunakan Data Citra Satelit Di Kabupaten Kampar

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ABSTRACT
Forest and land fires has become a chronic issue in Sumatra and Kalimantan.
In the last two years, the area affected by karhutla in Kampar Regency increased
from 529.57 ha to 585.39 ha, a significant rise compared to previous years. This
increase in karhutla frequency contributes to air pollution, with carbon monoxide
(CO) being a primary gas emitted. This research was conducted to analyze forest
and land fires spatially and temporally using satellite imagery data in Kampar
Regency, as well as to assess CO emissions. The method used in this study is a
quantitative method with a spatial approach, utilizing Sentinel-2A and Sentinel-5P
satellite imagery data. The Sentinel-2A data for fire incidents from 2023 to 2024
were processed using the Google Earth Engine platform, along with CO emission
data from Sentinel-5P. The results indicate that spatial analysis of forest fires and
CO emissions can be effectively conducted using satellite data, achieving high
accuracy in fire severity classification (OA ≥ 99% and Kappa ≥ 95%). The highest
CO concentration was observed in the fourth quarter of October-December 2023 at
0.038 mol/m², correlating with the severity of karhutla during the same period. This
highlights a direct relationship between karhutla occurrences and air pollution. The
development of remote sensing technology is crucial for enhancing decisionmaking
processes in mitigating karhutla and air pollution.
Keywords: Forest and land fires, carbon monoxide, spatial analysis, satellite
imagery, remote sensing.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2106114164

Penerbit

Pekanbaru : Universitas Riau – F.PERTANIAN – KEHUTANAN., 2025

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2106114164

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

KEHUTANAN

Info Detail Spesifik

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Pernyataan Tanggungjawab

daus

Versi lain/terkait

Lampiran Berkas

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