Haze, Sat, 14 Nov
Air pollutant index across Malaysia
Highest reading now
153 Unhealthy
Batu Muda, W.p. Kuala Lumpur, Wp Kuala Lumpur
Measured 08:00, latest hour at each station
- Stations above 100 (unhealthy)
- 1 of 68
- Stations above 200 (very unhealthy)
- 0
Since 2 July
Highest hourly reading in Malaysia each day from 1 September, and fire detections from 2 July. Pick a day to see it on the map, or play the days in order; each day stays up for the chosen time once it has loaded.
100200300 No DOE readings before 1 Sept Fire detections, NOAA-20 2 Jul1 Aug1 Sept1 Oct1 Nov Fire detections, Sat, 14 Nov
119 from NOAA-20's passes, so far today. A detection is a hot spot seen from orbit, not
a burned area; cloud and thick smoke hide fires.
- Sumatra 6
- Kalimantan 88
- Peninsular Malaysia 0
- Sabah, Sarawak and Labuan 1
- Elsewhere 24
Stations, highest first
- Batu Muda, W.p. Kuala Lumpur Wp Kuala Lumpur, measured 08:00 153
- Larkin, Johor Johor, measured 08:00 75
- Johan Setia Selangor, measured 08:00 73
- Klang, Selangor Selangor, measured 08:00 72
- Pasir Gudang, Johor Johor, measured 08:00 69
- Tasek Ipoh, Perak Perak, measured 08:00 68
- Putrajaya, W.p. Putrajaya Wp Putrajaya, measured 08:00 68
- Shah Alam, Selangor Selangor, measured 08:00 68
Air pollutant index: DOE Malaysia, MyEQMS (APIMS), read every hour into this site's archive since 1 September
2026 10:00 (DOE keeps 7 days). Today shows each station's latest hour; an earlier day shows its highest hour. Bands are
DOE's: 0–50 good, 51–100 moderate, 101–200 unhealthy, 201–300 very unhealthy, above 300 hazardous. Fire detections: NASA
FIRMS, VIIRS on NOAA-20, near real time, copied every hour into this site's archive (FIRMS keeps 7 days; earlier
days, back to 2 July 2026, from the same feed via our haze study); low-confidence detections and those over open sea are left out; days are
Malaysian time. We acknowledge the use of data from NASA's Fire Information for Resource Management System
(FIRMS), part of NASA's Earth Science Data and Information System.
Areas from geoBoundaries (© OpenStreetMap contributors, ODbL). Readings are measurements, not a forecast; where the smoke
came from is not shown here.