Ministry of Environment and Forestry (KLHK): Indonesia's Hotspot Count Reaches 536 in the Last 24 Hours (Wednesday, February 11, 2026)

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Irfan Fadhlurrahman 11/02/2026 11:47 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 detected 536 hotspots in Indonesia. This number is an increase of 132 hotspots compared to the previous period.

The data is the result of satellite imagery from Terra/Aqua, SNPP, and NOAA, accessed on Wednesday (February 11, 2026) at 11:47 WIB. Of the 536 detected hotspots, 39 have a high confidence level, 467 are medium-scale, and 30 are low-scale.

Hotspot confidence levels are divided into 3 scales: low scale ranges from 0 - 29, medium scale from 30 - 79, and high scale from 80 - 100. The higher the hotspot confidence level, the greater the likelihood of forest and land fires occurring in a particular area.

(Read: Two Months of Floods in Sumatra: 1,204 Dead and 140 Missing (Tuesday, January 27, 2026))

The most hotspots were detected in Riau, with 346. Riau Islands ranks second with 37 hotspots, followed by Bangka Belitung Islands in third place with 26 hotspots.

19 hotspots were detected in North Maluku, North Sumatra followed with 18, while Aceh and Jambi had 15 and 14 detected hotspots respectively.

Hotspots are coordinate points in an area with a higher surface temperature than the surrounding area, and do not represent 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 remote sensing satellite-detected hotspot data remains the most effective tool for monitoring forest and land fires over large areas.

(Read: Provinces in Indonesia Most Frequently Hit by Floods Until the End of 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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