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.

Abstrak. Kebakaran hutan dan lahan gambut di negara berkembang selalu menjadi perhatian dunia. Kebakaran yang marak terjadi banyak disebabkan antara kombinasi aktivitas manusia yaitu deforestasi, perubahan tutupan lahan, serta pertambahan penduduk, dan juga efek dari penyimpangan iklim yang meningkatkan kejadian kebakaran hutan dan lahan. Kejadian kebakaran hutan dan lahan di Kalimantan Selatan  merupakan kejadian yang hampir terjadi setiap tahun pada musim kemarau. Tujuan penelitian ini adalah mengetahui sebaran hotspot di Provinsi Kalimantan Selatan sejak 2012 hingga 2021. Penelitian dilakukan di 13 Kabupaten/Kota Provinsi Kalimantan Selatan. Data yang digunakan pada penelitian ini adalah data sekunder dari studi literatur. Pengambilan data dilakukan dengan mengambil beberapa informasi mengenai kejadian kebakaran hutan dan lahan secara temporal. Data yang diambil adalah data hotspot dari citra satelit SNPP VIIRS dari Tahun 2012-2021. Temuan dari penelitian adalah Jumlah hotspot dari Tahun 2012-2021 naik turun setiap tahunnya kadang naik kadang turun, penurunan yang terjadi disebabkan banyak faktor seperti faktor cuaca atau curah hujan. Hotspot paling tinggi pada Tahun 2015 karena kebakaran pada Tahun tersebut disebabkan oleh adanya anomali iklim yaitu fenomena El-Nino di Samudera Pasifik yang menyebabkan terjadinya kekeringan di Indonesia, daerah dengan jumlah hotspot tinggi berarti memiliki potensi terjadi kebakaran juga tinggi sehingga daerah tersebut harus memiliki mitigasi yang tepat dan masyarakat yang siaga terhadap bencana.Kata Kunci: SNPP VIIRS, Hotspot, Kebakaran hutan dan lahan

The Covid-19 pandemic has made all activities carried out online so that technological advances are the focus of development. The purpose of the service is to find out the Coordinate Retrieval Information System Using Google Map for Fire Mapping in Wetlands. The methodology used to use and utilize this application system is the Waterfall Model. Socialization and Training of Android-Based Applications is based on a geographic information system to view and find out the position of a location, for example the location of a settlement in a wetland area that has a high potential for disaster. The stages carried out in this service activity are the preparation stage and the stage of taking coordinates.

Land fires are national and international disasters that cause crucial environmental problems and are of local and global concern. This research was conducted to determine the mapping of the factors that affect land fires in a media frame that can be used for disaster mitigation so that the impact of fires can be minimized in the future. In addition, with mitigation, it is hoped that fires can be reduced, namely through restoration programs, including wetting, revegetation and community economic revitalization. This study uses time series data from 2012-2021 and uses the framing analysis method and content analysis. The results of the study show that the mapping of factors that affect land fires in the research area from several media from September 2019 to June 2021 is a factor of human activity and natural factors. The dominant human activities causing fires in the research area are land clearing for agriculture and settlements, land preparation, illegal logging, and lack of public awareness of the dangers of fire. The natural factors that dominate causing fires in the research area are the dry season, not residential areas.