1,000 Hotspots Detected in Indonesia in the Last 24 Hours (Monday, September 1, 2025)

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Irfan Fadhlurrahman 01/09/2025 11:30 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 1,000 hotspots were detected in Indonesia. This number of hotspots decreased by 779 points compared to the previous period.

The data is the result of satellite imagery from Terra/Aqua, SNPP, and NOAA, accessed on Monday (September 1, 2025) at 11:30 AM WIB. Of the 1,000 detected hotspots, 18 points had a high hotspot confidence level, 886 points were at a medium scale, and 96 points were at a low scale.

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

(Read: 4.6 M Earthquake Shakes 128 Km North of Lae, Papua)

The most detected hotspots were in East Nusa Tenggara with 364 points. West Nusa Tenggara ranked second with 150 hotspots. East Java was in third position with 72 hotspots.

As many as 65 hotspots were detected in South Sulawesi, followed by West Kalimantan with 58 hotspots, and Southeast Sulawesi and South Papua each having 49 and 42 detected hotspots.

A hotspot is a coordinate point in an area that has a higher surface temperature than 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 for monitoring forest and land fires over a large area.

(Read: Last Five Earthquakes Recorded by BMKG (Saturday, July 19, 2025 13:53:43 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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