2023
DOI: 10.1016/j.jag.2023.103214
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One year of near-continuous fire monitoring on a continental scale: Comparing fire radiative power from polar-orbiting and geostationary observations

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Cited by 4 publications
(2 citation statements)
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“…Each satellite contains several instruments for measuring atmospheric conditions. Of these, the passive GEO imagers, because of their ability to measure diel and diurnal temporal patterns [ 281 ] or simply provide daily and sub-daily measurements, are of increasing interest for certain types of environmental research, e.g., monitoring diurnal evapotranspiration, heat islands [ 282 ] or wildfire conditions [ 283 , 284 ], and for estimating evapotranspiration [ 285 ]. They also provide more detailed daily measurements over a growing season [ 286 ] over multiple years at spatial scales that compare to MODIS data.…”
Section: Second and Third-generation Geostationary Satellitesmentioning
confidence: 99%
“…Each satellite contains several instruments for measuring atmospheric conditions. Of these, the passive GEO imagers, because of their ability to measure diel and diurnal temporal patterns [ 281 ] or simply provide daily and sub-daily measurements, are of increasing interest for certain types of environmental research, e.g., monitoring diurnal evapotranspiration, heat islands [ 282 ] or wildfire conditions [ 283 , 284 ], and for estimating evapotranspiration [ 285 ]. They also provide more detailed daily measurements over a growing season [ 286 ] over multiple years at spatial scales that compare to MODIS data.…”
Section: Second and Third-generation Geostationary Satellitesmentioning
confidence: 99%
“…These systems typically use multiple sensors, such as flame detectors, humidity, heat, and smoke sensors, among others, to detect fires. To process the data from these sensors and generate a fire alert, Adaptive Neuro-Fuzzy Inference System is commonly employed [28,29]. Despite the benefits of multi-sensor and IoT-based fire detection systems, these technologies also have some drawbacks.…”
Section: Introductionmentioning
confidence: 99%