Ministry of Environment and Forestry: Number of Hotspots in Indonesia Reaches 668 in the Last 24 Hours (Thursday, September 18, 2025)

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Irfan Fadhlurrahman 18/09/2025 11:08 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 that 668 hotspots were detected in Indonesia. This number of hotspots increased by 186 points compared to the previous period.

The data is the result of Terra/Aqua, SNPP, and NOAA satellite imaging accessed on Thursday (September 18, 2025) at 11:08 AM WIB. Of the 668 detected hotspots, 17 points have a high hotspot confidence level, 563 points have a medium confidence level, and 88 points have a low confidence level.

Hotspot confidence levels are 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: These Provinces Were Heavily Affected by Floods in Early 2025)

The most detected hotspots were in East Nusa Tenggara, with 283 points. South Sulawesi ranked second with the highest number of hotspots, with 90 points. Southeast Sulawesi was in third place with 74 hotspots.

A total of 60 hotspots were detected in Maluku, followed by East Java with 48 hotspots, and Aceh and West Nusa Tenggara each had 37 and 22 detected hotspots.

Hotspots are coordinates of an area with a surface temperature higher than its surroundings, and not the number of forest and land fire incidents.

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

(Read: Floods Remain the Most Frequent Disaster in Indonesia Until March 2025 )

"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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