Detection Of Land Drought Using Landsat Imagery On The Google Earth Engine Platform For Forest Fire Mitigation

HARY NUGROHO, DEWI KANIA SARI, THORIQ BAIHAQI

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ABSTRAK

Kekeringan yang diperparah oleh El Nino dan pemanasan global sering kali mejadi pemicu terjadinya kebakaran hutan di Sumatra dan Kalimantan, Indonesia, yang berdampak pada ekosistem dan masyarakat setempat. Studi ini menggunakan Temperature Vegetation Dryness Index (TVDI) yang menggabungkan Land Surface Temperature (LST) dan Normalized Difference Vegetation Index (NDVI) di platform Google Earth Engine (GEE) untuk mendeteksi area rawan kekeringan dengan cepat dan akurat. Analisis dilakukan dengan data satelit Landsat 8 dari musim kemarau tahun 2022 dan 2023 di Kabupaten Kubu Raya, Kalimantan Barat. Peta kekeringan yang dihasilkan mengidentifikasi hotspot di wilayah tengah, dengan validasi data kebakaran hutan BRIN mencapai akurasi 97%. Metode ini memberikan wawasan yang berharga bagi pemerintah daerah, memungkinkan pengambilan keputusan kebijakan yang lebih baik dan membantu pencegahan kebakaran lebih awal, meskipun terdapat kendala tutupan awan selama musim kemarau.

Kata kunci: TVDI, LST, NDVI, GEE, Kebakaran Hutan

 

ABSTRACT

Exacerbated by El Nino and global warming, drought often precedes forest fires in Sumatra and Kalimantan, Indonesia, impacting local ecosystems and communities. This study utilizes the Temperature Vegetation Dryness Index (TVDI), combining Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) data on the Google Earth Engine (GEE) platform to detect drought-prone areas quickly and accurately. Analysis was performed using Landsat 8 satellite data from the 2022 and 2023 dry seasons in Kubu Raya Regency, West Kalimantan. The generated drought map identified central region hotspots, with validation using BRIN's forest fire data, achieving 97% accuracy. This method's high reliability offers valuable insights for local governments, enabling better policy decisions and aiding early fire prevention measures despite challenges like frequent cloud cover during the dry season.

Keywords: TVDI, LST, NDVI, GEE, Forest Fire


Kata Kunci


TVDI; LST; NDVI; GEE; Forest Fire

Teks Lengkap:

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Referensi


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DOI: https://doi.org/10.26760/elkomika.v12i4.%25p

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