Ministry of Environment and Forestry Detects 316 Hotspots in Indonesia, Most in East Nusa Tenggara (Thursday, September 11, 2025)

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Irfan Fadhlurrahman 11/09/2025 11:36 WIB
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Based on the SiPongi forest and land fire monitoring system of the Ministry of Environment and Forestry (KLHK), monitoring in the last 24 hours shows 316 hot spots (hotspots) detected in Indonesia. This number of hot spots increased by 160 points compared to the previous period.

The data is the result of satellite imagery from Terra/Aqua, SNPP, and NOAA, accessed on Thursday (September 11, 2025) at 11:35 AM WIB. Of the 316 detected hot spots, 8 points have a high hotspot confidence level, 283 points have a medium scale, and 25 points have a low scale.

The hotspot confidence level is divided into 3 scales. The low scale has a range of 0 - 29, the medium scale 30 - 79, and the high scale 80 - 100. The higher the hotspot confidence level, the higher the likelihood of forest and land fires occurring in a particular area.

(Read: Floods Still the Most Frequent Disaster in Indonesia until March 2025 )

The most detected hot spots were in East Nusa Tenggara with 94 points. East Kalimantan ranked second with the highest number of hot spots, with 35 points. Aceh was in third place with 25 hot spots.

A total of 19 hot spots were detected in West Nusa Tenggara, followed by South Sumatra with 16 hot spots, and Southeast Sulawesi and South Sulawesi each having 16 and 15 detected hot spots.

A hot spot is a coordinate point in an area that has a higher surface temperature than its surroundings, and is not the number of forest and land fire incidents.

However, a large number of hot spots clustered in an area indicates the occurrence of forest and land fires. This means that hot spot data from remote sensing satellite detection is still the most effective for monitoring forest and land fires over large areas.

(Read: Bekasi Included in Top 10 Areas with Highest Flood Risk in West Java)

"Disclosure: This is an AI-generated translation of the original article. We strive for accuracy, but please note that automated translations may contain errors or slight inconsistencies."

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