Fire-hotspot information system from multi-resolution remote sensing data for early detection of forest fires

Andy Indradjad, Wismu Sumnarmodo, Erna Sri Adiningsih, M. Dimyati, Rokhmatuloh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The Fire-Hotspot Information System namely version 2.0 for early detection of forest fires is now available at LAPAN Indonesia, which is an update from the previous version. Until now, forest fires still occur frequently in Indonesia and even routinely every year. The Fire-Hotspot Information System through the Website and Android has been developed by LAPAN since 2015. Currently this system has used remote sensing satellite data from several satellites such as TERRA, AQUA, SNPP, NOAA-20 and Landsat-8 with related sensors MODIS, VIIRS and OLI. The data processing system uses a global algorithm to derive hotpot information from remote sensing satellite data. After obtaining fire-hotspot information, it is then sent to the database by adding administrative boundary information and masking the data with persistent fire information to reduce detection errors due to bright objects, roofs, mountain craters, etc. The final process is clustering, in which each adjacent hotspot will be used as 1 fire-hotspot information to represent 1 fire event. The clustering method is very useful for large fire events detected by remote sensing satellites with medium resolution (30 m) because the Fire-hotspot data in the form of pixels will have a large number of fire-hotspots which will become 1 fire hotspot cluster. On average, the loading time for version 2.0 can also be 9.65 times faster than version 1.0. The process of masking fire-hotspot data can reduce the number of fire-hotspot pixels by 47.77% in Januari to September 2020. Meanwhile, the clustering method will decrease by 67.25% compare to total number of hotspot in version 1.0. The LAPAN Fire-Hotspot Information System version 2 has been able to improve detection of forest fires by reducing detection errors and improving the correlation between the number of fire hotspots and the number of fire events.

Original languageEnglish
Title of host publicationACRS 2020 - 41st Asian Conference on Remote Sensing
PublisherAsian Association on Remote Sensing
ISBN (Electronic)9781713829089
Publication statusPublished - 2020
Event41st Asian Conference on Remote Sensing, ACRS 2020 - Deqing City, Virtual, China
Duration: 9 Nov 202011 Nov 2020

Publication series

NameACRS 2020 - 41st Asian Conference on Remote Sensing

Conference

Conference41st Asian Conference on Remote Sensing, ACRS 2020
Country/TerritoryChina
CityDeqing City, Virtual
Period9/11/2011/11/20

Keywords

  • Fire-Hotspot
  • Information System
  • MODIS
  • OLI
  • VIIRS

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