Studi Pola Sebaran Asap Dan Kondisi Parameter Fisis Meteorologi Berbasis Citra Satelit Himawari-8 (Kasus: Kebakaran Hutan di Provinsi Jambi)

Authors

  • Gerson Sinaga universitas udayana
  • I Made Yuliara Program Studi Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana
  • Ni Nyoman Rupiasih Program Studi Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana
  • I Ketut Sukarasa Program Studi Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana
  • I. G. A. P Adnyna Program Studi Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana
  • I. G. A Widagda Program Studi Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

DOI:

https://doi.org/10.29408/kpj.v8i1.23981

Keywords:

Smoke distribution patterns, forest fires, Himawari-8 satellite, SATAID software, RGB.

Abstract

This research has conducted a study of smoke distribution patterns and conditions of meteorological physical parameters based on Himawari-8 satellite imagery (Case: Forest Fires in Jambi Province). Data analysis was carried out in this study using Himawari-8 satellite image data with processed RGB False Color method in SATAID software. Meteorological factors such as hot spots, rainfall, air temperature, wind direction and speed are parameters that can affect the process of forest fires and smoke distribution. The data collected in this research is secondary data. The meteorological data and smoke images from BMKG Jakarta center, Jakarta, then the data is processed and analyzed so that it can interpret the meteorological conditions and smoke patterns in Jambi Province. The smoke images that have been collected are then processed using a laptop with SATAID Software on channels 3, 4, and 6 so that the color of the smoke and the distribution of brownish forest fire smoke can be seen in the form of images. Based on the results of the research, the state of meteorological physical parameters in Jambi Province shows a state of drought, hot spots totaling 30 locations from June 24 to 28, 2022, and low rainfall is one of the factors that trigger the process of forest fires, air temperature with an average of <25 is classified as a moderate temperature during forest fires. satellite image data and meteorological condition data in 2022, wind direction and speed below 29 kt (knots) are categorized as moderate wind gusts.

 

References

Adinugroho, W. C, dkk., 2005, Panduan Pengendalian Kebakaran Hutan dan Lahan

Gambut, Wetland International-IP Katalog dalam Terbitan (KDT), Bogor: 163

Admin, 2021, Hujan Bagaimana Proses Terbentuknya, https://himadikmia.unimus.ac.id/hujan-bagaimana-proses-terbentuknya/#:~:text=Di%20Bumi%2C%20hujan%20-adalah%20proses,penabahan%20uap%20air%20ke%20udara. [Diakses tanggal 17 Mei 2023].

Admin, 1958, Sekilas Profil Provinsi Jambi, https://jambiprov.go.id/profil-sekilasjambi.html. [Diakses tanggal 17 Mei 2023].

Anendha Destantyo Nugroho dan Paulus Agus Winarso, 2019, Identifikasi sebaran asap melalui metode RGB citra satelit Himawari-8 Kasus: Pulau sumatera dan kalimantan pada bulan Agustus dan September 2019, Seminar Nasional Geografi III 2019, Yogyakarta, 786-792.

Alpon S, Hartono, Retnadi H, Jatmiko., Deteksi Kebakaran Hutan dan Lahan Menggunakan Citra Satelit Himawari-8 di Kalimantan Tengah, Jurnal Sains & Teknologi Modifikasi Cuaca, Vol.20 No. 2: 79–89.

Benyamin Lakitan, 1994, Dasar-Dasar Klimatologi, Jakarta : Raja Grafindo Persada.

Badan Meteorologi Klimatologi dan Geofisika, 2010, Klasifikasi Curah Hujan, Suhu udara Press Release (Jakarta, 12 Oktober 2010).

Eo Portal, 2014, Himawari-8 dan 9, https://www.eoportal.org/satellite/missions/himawari-8-9#development-status. [Diakses tanggal 18 Mei 2023].

Fachmi, R., 2014, Permasalahan dan Dampak Kebakaran Hutan, Jurnal Lingkar Widyaiswara, Vol.1 No.4: 47-59.

Giglio, L., Descloitres, J., Justice, C.O., & Kaufman, Y, J., 2003, An enhanced contextual fire detection algorithm for MODIS. Remote Sensing of Environment, No.87, 273-282.

Mackinnon, K., Hatta, G., Halim, H., dan Mangalik, A., 1997, The Ecology of Kalimantan, Universitas Oxford, Oxford.

Panjaitan, A., dan Panjaitan B, S., 2015, Pemanfaatan Data Satelit Cuaca Generasi Baru Himawari 8 Untuk Mendeteksi Asap Akibat Kebakaran Hutan dan Lahan di Wilayah Indonesia (Studi Kasus:Kebakaran Hutan dan Lahan di Pulau Sumatera dan Kalimantan Pada Bulan September 2015), Seminar Penginderaan Jauh 2015, Bogor, 636-651.

Pong, 2021, Mengenal Satelit Cuaca Himawari-8, https://mgp.big.go.id/mengenal-satelit-cuaca-himawari-8-9/. [Diakses tanggal 17 Mei 2023].

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Published

2024-04-30

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