Spectral Analysis of the Himawari-8 Data for Hotspot Detection From Land/Forest Fires in Sumatra

Fitriana, Hana Listi; Sulma, Sayidah; Suwarsono, Nfn; Zubaidah, Any; Prasasti, Indah

doi:10.30536/j.ijreses.2018.v15.a2836

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Kebakaran hutan dan lahan diidentifikasi dari sebaran asap yang dihasilkan pada olahan citra dan dikonfirmasi dengan titik panas dari citra MODIS. Penelitian lain dilakukan oleh Fitriana et al (2018) yang menggunakan pola spektral untuk mendeteksi kebakaran hutan dan lahan di pulau Sumatera, didapatkan citra satelit Himawari-8 memiliki kemampuan yang baik dalam deteksi kebakaran, ditunjukkan dengan pola yang jelas pada saluran 3 (inframerah dekat) dan 7 (inframerah tengah). Namun dua penelitian diatas belum menghasilkan titik panas.…”

Section: Pendahuluanunclassified

Deteksi Kebakaran Hutan Dan Lahan Menggunakan Citra Satelit Himawari-8 Di Kalimantan Tengah

Sepriando

Hartono

Jatmiko

2020

JSTMC

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IntisariKebakaran hutan dan lahan terjadi hampir setiap tahun di Indonesia, terutama di wilayah Sumatera dan Kalimantan saat musim kemarau. Deteksi kebakaran hutan dan lahan dengan citra satelit menggunakan indikator yang disebut titik panas. Titik panas yang digunakan saat ini di Indonesia diperoleh dari pengolahan data citra satelit berorbit polar (MODIS dan VIIRS) dengan resolusi temporal yang rendah, yaitu hanya 6 kali dalam sehari. Tujuan dari penelitian ini adalah memanfaatkan data citra satelit Himawari-8 untuk deteksi kebakaran hutan dan lahan yang menghasilkan titik panas dengan resolusi temporal 10 menit, dimana hasilnya di validasi dengan citra polar dan data kebakaran lapangan. Lokasi penelitian berada di Provinsi Kalimantan Tengah dan waktu penelitian adalah bulan September 2019. Data yang digunakan untuk pengolahan adalah 5 saluran Advanced Himawari Imager, peta batas administrasi dan tutupan lahan. Pemrosesan data citra satelit mencakup pemilihan piksel penutup lahan dan batas administrasi, penentuan waktu pengamatan, eliminasi piksel awan, Algoritma Pemantau Kebakaran Aktif, dan validasi hasil. Data citra Himawari-8 dapat diolah menjadi titik panas dengan temporal 10 menit. Validasi terhadap citra polar memiliki tingkat akurasi 66,2%-75,4%, comission error 28,2-46,9% dan omission error 24,6-33,8%. Tingginya comision error terhadap citra VIIRS dikarenakan citra VIIRS memiliki resolusi spasial yang jauh lebih tinggi dibandingkan dengan citra Himawari-8. AbstractForest and land fires occur almost every year in Indonesia, especially in Sumatra and Kalimantan during the dry season. Detection of forest and land fires with satellite imagery uses an indicator called a hotspot. The hotspots used today in Indonesia are obtained from the processing of polar orbital satellite image data (MODIS and VIIRS) with a low temporal resolution, which is only six times a day. The purpose of this study is to utilize Himawari-8 satellite imagery data for the detection of forest and land fires that produce hotspots with a temporal resolution of 10 minutes, where the results are validated with polar imagery and field fire data. The research location is in Central Kalimantan Province, and the time of the study is September 2019. Data used for processing are 5 Advanced Himawari Imager channels, administrative boundary maps, and land cover. Processing of satellite imagery data includes the selection of cover pixels and administrative boundaries, determination of observation time, elimination of cloud pixels, Active Fire Monitoring Algorithm, and validation of results. Himawari-8 image data can be processed into hotspots with a temporal 10 minutes. Validation of polar images has an accuracy rate of 66.2% -75.4%, commission error 28.2-46.9% and omission error 24.6-33.8%. The high commission error on the VIIRS image is because the VIIRS image has a much higher spatial resolution compared to the Himawari-8 image.

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Section: Pendahuluanunclassified

Deteksi Kebakaran Hutan Dan Lahan Menggunakan Citra Satelit Himawari-8 Di Kalimantan Tengah

Sepriando

Hartono

Jatmiko

2020

JSTMC

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“…It can use remote sensing satellite data to detect hotspot data. Hotspot data in Indonesia significantly monitors the accuracy of potential forest and land fires 41) .…”

Section: Introductionmentioning

confidence: 99%

The Potential Mapping of Land Fire Using SNPP VIIRS as a Basis for Environmental Damage Mitigation

Kumalawati¹,

Yuliarti²,

Anggraeni³

et al. 2021

Evergreen

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Hotspot distribution area is very important to know, in order to anticipate and minimize the risk of fire. The research objective is The Potential Mapping of Land Fires Using SNPP VIIRS. The research used a survey method to collect data. Data processing techniques using ArcGIS software with scoring, overlay and clustering techniques. The highest number of hotspots in South Kalimantan is in Banjar Regency, with 17428 including low confidence (1303), nominal confidence (15444) and high confidence (681). The results of the mapping of existing Fire Potentials can be used as a basis for mitigation actions and providing recommendations for disaster management to reduce the risk of increasing environmental damage in the future.

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Design of C-Band Microstrip Fractal Antenna Combined with Pyramidal Horn

Mahatmanto,

Irawadi,

Gunawan

et al. 2023

2023 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)

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Spectral Analysis of the Himawari-8 Data for Hotspot Detection From Land/Forest Fires in Sumatra

Cited by 3 publications

References 13 publications

Deteksi Kebakaran Hutan Dan Lahan Menggunakan Citra Satelit Himawari-8 Di Kalimantan Tengah

Deteksi Kebakaran Hutan Dan Lahan Menggunakan Citra Satelit Himawari-8 Di Kalimantan Tengah

The Potential Mapping of Land Fire Using SNPP VIIRS as a Basis for Environmental Damage Mitigation

Design of C-Band Microstrip Fractal Antenna Combined with Pyramidal Horn

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