MoEF: Number of Hotspots in Indonesia Reaches 5,683 in the Last 24 Hours (Wednesday, September 24, 2025)

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Irfan Fadhlurrahman 24/09/2025 11:10 WIB
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Based on the SiPongi forest and land fire monitoring system of the Ministry of Environment and Forestry (MoEF), monitoring in the last 24 hours shows that 5,683 hotspots were detected in Indonesia. This number of hotspots increased by 427 points compared to the previous period.

The data is the result of Terra/Aqua, SNPP, and NOAA satellite imaging accessed on Wednesday (September 24, 2025) at 11.10 AM Western Indonesia Time (WIB). Of the 5,683 detected hotspots, 467 points had a high hotspot confidence level, 4,985 points were at a medium scale, and 231 points were at a low scale.

Hotspot confidence levels are divided into 3 scales. The low scale ranges from 0 - 29, the medium scale from 30 - 79, and the high scale from 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 hotspots were in West Kalimantan, with 3,500 points. Central Kalimantan ranked second with 490 hotspots. Bangka Belitung Islands were in third place with 316 hotspots.

A total of 250 hotspots were detected in East Nusa Tenggara, followed by South Sumatra with 161 hotspots, and East Kalimantan and West Nusa Tenggara each had 142 and 88 detected hotspots.

A hotspot is a coordinate point of an area that has a higher surface temperature compared to its surroundings, and not the number of forest and land fire incidents.

However, a large number of clustered hotspots 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 vast areas.

(Read: Distribution of Jakarta Flood Hotspots (July 8, 2025 at 07.00 AM WIB))

"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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