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      • UT - Silviculture
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      Analisis Hotspot dalam Deteksi Kabakaran Hutan dan Lahan Kabupaten Tanjung Jabung Tiimur Provinsi Jambi

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      Date
      2024
      Author
      Tomonianse, La Ode Ahmad
      Syaufina, Lailan
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      Abstract
      Kabupaten Tanjung Jabung Timur merupakan Kabupaten di Provinsi Jambi dengan potensi kebakaran hutan dan lahan tertinggi. Penelitian bertujuan menganalisis akurasi sensor MODIS dan VIIRS (Visible Infrared Imaging Radiometer Suite) dalam mendeteksi kebakaran hutan dan lahan di Kabupaten Tanjung Jabung Timur Provinsi Jambi dan juga jumlah hotspot yang terdapat pada Kabupaten Tanjung Jabung Timur sebagai indikator terjadinya kebakaran. Sumber yang digunakan adalah data sebaran hotspot dari sensor MODIS dan VIIRS (Visible Infrared Imaging Radiometer Suite) di Kabupaten Tanjung Jabung Timur priode tahun 2020-2023 dan citra Sentinel-2. Metode yang digunakan adalah dengan melakukan overlay data hotspot dengan areal kejadian kebakaran, dengan analisis data menghitung akurasi dari satelit MODIS dan VIIRS (Visible Infrared Imaging Radiometer Suite). Hasil penelitian menunjukkan bahwa dalam rentang tahun 2020-2023, hotspot paling banyak ditemukan pada tahun 2023. Akurasi satelit VIIRS (Visible Infrared Imaging Radiometer Suite) pada tahun 2023 sebesar 100% sedangkan sensor MODIS tidak mendeteksi adanya hotspot pada area terbakar. Selang kepercayaan sedang (moderate) menunjukkan frekuensi tertinggi dalam mendeteksi kebakaran hutan dan lahan.
       
      Tanjung Jabung Timur Regency is a region in Jambi Province with the highest potential for forest and land fires. This research aims to analyze the accuracy of MODIS and VIIRS (Visible Infrared Imaging Radiometer Suite) sensors in detecting forest and land fires in Tanjung Jabung Timur Regency, as well as the number of hotspots in the regency as indicators of fire occurrence. The sources used are hotspot distribution data from MODIS and VIIRS (Visible Infrared Imaging Radiometer Suite) sensors in Tanjung Jabung Timur Regency for the period 2020-2023 and Sentinel-2 imagery. The method used involves overlaying hotspot data with fire occurrence areas and analyzing the data to calculate the accuracy of the MODIS and VIIRS (Visible Infrared Imaging Radiometer Suite) satellites. The results of the study show that the highest number of hotspots in the period 2020-2023 was found in 2023. The results showed that in the range of 2020-2023, the most hotspots were found in 2023. The accuracy of the VIIRS (Visible Infrared Imaging Radiometer Suite) satellite in 2023 was 100% while the MODIS sensor did not detect any hotspots in the burned area.The moderate confidence interval indicates the highest frequency in detecting forest and land fires
       
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      http://repository.ipb.ac.id/handle/123456789/158504
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