3,506 Hotspots Detected in Indonesia in the Last 24 Hours (Wednesday, July 30, 2025)

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Irfan Fadhlurrahman 30/07/2025 11:12 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 showed that 3,506 hotspots were detected in Indonesia. This number of hotspots increased by 1,197 points compared to the previous period.

The data is the result of Terra/Aqua, SNPP, and NOAA satellite imagery accessed on Wednesday (July 30, 2025) at 11:12 AM WIB. Of the 3,506 detected hotspots, 202 points had a high hotspot confidence level, 3,209 points were at a medium scale, and 95 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 and Extreme Weather, Most Frequent Natural Disasters in Indonesia until Early August 2023)

The most detected hotspots were in West Kalimantan, with 1,810 points. East Kalimantan ranked second with the highest number of hotspots at 338 points. Aceh was in third place with 221 hotspots.

As many as 193 hotspots were detected in South Kalimantan, Central Kalimantan followed with 170 hotspots, and Riau and North Sumatra each had 130 and 87 detected hotspots.

A hotspot is a coordinate point of 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 in monitoring forest and land fires over a wide area.

(Read: There Were 2 Thousand Natural Disasters in Indonesia in 2024, Floods Dominated)

"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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