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Evaluasi Area Kebakaran Lahan dan Hutan Berbasis Hotspot Citra Modis Adam, Sahrul S
ScientiCO : Computer Science and Informatics Journal Vol 3, No 1 (2020): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

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Abstract

Land and forest fires in Malifut sub-district, North Halmahera that occurred in 2015 were the largest fires in the last 20 years, these fires have consumed most of the land and forest areas. The extent of land and forest areas is a challenge in predicting and anticipating fires. For this reason, the use of hotspot information becomes an important part of monitoring new possibilities related to fire in the following years. This study aims to identify land and forest fires by testing the distribution of hotspots resulting from the interpretation of MODIS imagery on fire hazard maps and maps of land and forest cover in Malifut sub-district. The method used is descriptive with scoring and overlays as techniques of data analysis. Data processing uses ArcGIS software version 10.6 by performing mathematical operations and shapefile hotspot data inputting. The results of this study show that there are a total of 54 hotspots in Malifut sub-district, of which 48 hotspots (88.89%) are spread in high-hazard areas, in the medium class as many as 6 hotspots (11.11%) and low class no hotspots (0%). For the results of the identification of the distribution of hotspots on the land cover map, it is found that the highest distribution of hotspots is on dry land agriculture with 34 hotspots (62.96%), shrub land with 11 hotspots (20.37%), production forests with 7 hotspots (12.96%), and forests secondary dry land and settlement each have 1 hotspot (1.85%). 
Sistem Informasi Geografi untuk Zonasi Kerentanan Kebakaran Lahan dan Hutan di Kecamatan Malifut, Halmahera Utara Adam, Sahrul S; Rindarjono, Mochammad Gamal; Karyanto, Puguh
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 6 No 5: Oktober 2019
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4419.168 KB) | DOI: 10.25126/jtiik.2019651674

Abstract

Bencana kebakaran lahan dan hutan berperan penting secara ekologis menyebabkan kerusakan lahan dan hutan. Sebagai konsekuensi dari perubahan tutupan lahan dan efek yang terakumulasi dari gangguan antropogenik. Penelitian ini bertujuan untuk memetakan dan mengkaji kerentanan kebakaran lahan dan hutan di kecamatan Malifut, Halmahera Utara. Metode yang digunakan adalah deskriptif. Pengolahan dan analisis data berbasis software System Informasi Geografi yakni ArcGIS 10.1 dengan scoring dan overlay sebagai teknik analisis data. Hasil penelitian ini menunjukkan bahwa kelas kerentanan kebakaran lahan dan hutan di kecamatan Malifut berada pada tiga kelas kerentanan, kelas kerentanan kebakaran rendah seluas 1,118.4 ha atau 3.18%, meliputi jenis tutupan lahan hutan mangrove primer dan tanah terbuka. Kerentanan kebakaran lahan kelas sedang meliputi area seluas 13,601.9 ha atau 38.72% yang sebagian besar terdapat di jenis tutupan lahan hutan produksi, serta diikuti pertanian lahan kering, hutan mangrove sekunder dan hutan lahan kering sekunder. Untuk kelas kerentanan kebakaran tinggi merupakan yang terluas mencakup area seluas 20,401.9 ha atau 58.08%. Tutupan lahan dengan kelas kerentanan kebakaran tinggi sebagian besar berasal dari hutan lahan kering sekunder, pertanian lahan kering, hutan produksi, dan semak belukar AbstractLand and forest fires disasters played an important role ecologically causing the demage of land and forest as a consequence of change in land cover and accumulated effect antropogenic disorder. This researcher aimed to maping and assess the vulnerability of land and forest fire in Malifut Sub-district, North Halmahera. The research used descriptive method. Processing and analysis based on Geographic Information System software namely ArcGIS 10.1 and used scoring and overlay as data analysis techniques. The result of the research shown the class of vulnerability fire land and forest in Malifut Sub-district categorized into three classes, low vulnerability fire class of 1,118.4 hectares or 3.18%, included covering land types of primary mangrove forest and open land. Moderate vulnerability fire land class covers an area of 13,601.9 hectares or 38.72% most of which land cover by production forest, followed by dryland agriculture, secondary mangrove forest and secondary dryland forest. In higher vulnerability fire class was the widest area of 20,401.9 hectares or 58.08%. Land cover with higher vulnerability class mostly found in secondary dryland forest, dryland agriculture, production forest, and shrubs.