1,322 Hotspots Detected in Indonesia in the Last 24 Hours (Saturday, October 18, 2025)
- A Small
- A Medium
- A Bigger
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 1,322 hotspots were detected in Indonesia. This number of hotspots increased by 230 points compared to the previous period.
This data is the result of Terra/Aqua, SNPP, and NOAA satellite imagery accessed on Saturday (October 18, 2025) at 11:53 AM Western Indonesian Time (WIB). Of the 1,322 detected hotspots, 53 points have a high confidence level, 1,167 points are moderate, and 102 points are low.
Hotspot confidence levels are divided into 3 scales. The low scale ranges from 0 - 29, the moderate 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: These are the Most Frequent Natural Disasters in Indonesia until Early September 2023)
The highest number of detected hotspots was in East Nusa Tenggara with 348 points. East Kalimantan ranked second with 240 hotspots. Central Sulawesi was in third place with 173 hotspots.
153 hotspots were detected in West Nusa Tenggara, followed by South Sulawesi with 106 hotspots, and East Java and Southeast Sulawesi each had 65 and 60 detected hotspots.
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 clustered hotspots in an area indicate 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: Extreme Weather to Floods, There Were 927 Natural Disaster Events in Indonesia until Early May 2023)
"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."