516 Hotspots Detected in Indonesia in the Last 24 Hours (Monday, October 20, 2025)

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Irfan Fadhlurrahman 20/10/2025 11:53 WIB
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10 Provinces with the Most Hotspots in Indonesia in the Last 24 Hours
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Based on the SiPongi forest and land fire monitoring system of the Ministry of Environment and Forestry (KLHK), monitoring over the last 24 hours shows that 516 hotspots were detected in Indonesia. This number of hotspots decreased by 417 points compared to the previous period.

The data is the result of Terra/Aqua, SNPP, and NOAA satellite imagery accessed on Monday (October 20, 2025) at 11:53 AM WIB. Of the 516 hotspots detected, 8 points had a high hotspot confidence level, 475 points were medium scale, and 33 points were low scale.

Hotspot confidence levels are divided into 3 scales. Low scale has a range of 0 - 29, medium scale 30 - 79, and 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: Indonesia Becomes the Country Most Frequently Hit by Earthquakes as of 2025)

The most detected hotspots were in East Nusa Tenggara with 131 points. Central Sulawesi was in second place with the highest number of hotspots at 76 points. Southeast Sulawesi was in third place with 68 hotspots.

A total of 39 hotspots were detected in West Nusa Tenggara, followed by East Java with 35 hotspots, and East Kalimantan and North Maluku each had 29 and 25 hotspots detected, respectively.

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 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 for large areas.

(Read: 4.4 M Earthquake Shakes Babar, Indonesia)

"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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