512 Hotspots Detected in Indonesia in the Last 24 Hours (Monday, September 8, 2025)

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Irfan Fadhlurrahman 08/09/2025 11:37 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 in the last 24 hours shows that 512 hotspots were detected in Indonesia. This number of hotspots decreased by 178 points compared to the previous period.

The data is the result of Terra/Aqua, SNPP, and NOAA satellite imagery accessed on Monday (9/8/2025) at 11:38 AM WIB. Of the 512 detected hotspots, 22 points had a high confidence level, 471 points were at a medium scale, and 19 points were at a low scale.

The hotspot confidence level is 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: Air Quality in Major Indonesian Cities is Poor, Far from WHO Standards)

The most detected hotspots were in East Nusa Tenggara with 127 points. East Java ranked second with 57 hotspots. West Nusa Tenggara was in third place with 56 hotspots.

A total of 47 hotspots were detected in West Kalimantan, followed by South Sulawesi with 28 hotspots, and South Sumatra and Southeast Sulawesi with 28 and 26 detected hotspots respectively.

A hotspot 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 clustered hotspots in an area indicates the occurrence of forest and land fires. This means that hotspot data detected by remote sensing satellites is still the most effective in monitoring forest and land fires over a wide area.

(Read: Jakarta''s Air Quality This Morning is the Second Worst in the World (Friday, June 17, 2022))

"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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