2018
DOI: 10.3390/rs10101654
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Near Real-Time Extracting Wildfire Spread Rate from Himawari-8 Satellite Data

Abstract: Fire Spread Rate (FSR) can indicate how fast a fire is spreading, which is especially helpful for wildfire rescue and management. Historically, images obtained from sun-orbiting satellites such as Moderate Resolution Imaging Spectroradiometer (MODIS) were used to detect active fire and burned area at the large spatial scale. However, the daily revisit cycles make them inherently unable to extract FSR in near real­-time (hourly or less). We argue that the Himawari-8, a next generation geostationary satellite wi… Show more

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Cited by 40 publications
(19 citation statements)
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References 67 publications
(83 reference statements)
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“…The VIIRS data products are also replacing MODIS data to continue on the coarse-resolution, long-term data records, while improving data quality considerably (Skakun et al 2017). Other initiatives focus on delivering near-real-time or even real-time data to facilitate monitoring and immediate interventions (Li et al 2018;Liu et al 2018a). Also, private companies extend the portfolio of available satellite imagery.…”
Section: Future Prospectsmentioning
confidence: 99%
“…The VIIRS data products are also replacing MODIS data to continue on the coarse-resolution, long-term data records, while improving data quality considerably (Skakun et al 2017). Other initiatives focus on delivering near-real-time or even real-time data to facilitate monitoring and immediate interventions (Li et al 2018;Liu et al 2018a). Also, private companies extend the portfolio of available satellite imagery.…”
Section: Future Prospectsmentioning
confidence: 99%
“…Wildfire is a natural phenomenon for many ecosystems since fire affects nutrient cycling, vegetation succession patterns, and resistance to pests [1]. It also poses a great threat to the ecological environment, economic development, as well as human life and property [2][3][4][5][6]. There are three major factors that relate to the incidence of wildfires, spatially continuous and dry enough to burn fuel (biomass), meteorological conditions conducive to the spread of fire, and ignitions [7][8][9].…”
Section: Introductionmentioning
confidence: 99%
“…Currently, the available active fire products of MODIS and VIIRS have only a few passes a day [94], and, given frequent cloud cover in different parts of the world, this is not enough for detecting fire ignition, monitoring the propagation of fires in real-time, and mapping FRP on an hourly basis. The first sensor to offer such capabilities for Australia is Himawari-8 (for Africa and Europe, another sensor serves such a purpose: SEVIRI, onboard the Meteosat satellite; [106]), with the best spatial resolution so far compared to previous geostationary satellites, although, compared with MODIS and VIIRS it is relatively coarse (2 km; [94,[107][108][109]). One of the outcomes from the national government enquiry into the causes and impacts of the Black Summer fire season is the need to more effectively integrate Earth observation data streams in pre-fire assessments (fuel load and flammability), active fire monitoring (this is the main gap) and post-fire impact and recovery assessments [22].…”
Section: Remote Sensing Of Wildfiresmentioning
confidence: 99%