@Article{WoosterRGRFBJISDSSCSFZXJJEVMTSS:2021:HiCuSt,
               author = "Wooster, Martin J. and Roberts, Gareth J. and Giglio, Louis and 
                         Roy, David and Freeborn, Patrick and Boschetti, Luigi and Justice, 
                         Christ and Ichoku, Charles and Schroeder, Wilfrid and Davies, 
                         Diane and Smith, Alistair and Setzer, Alberto Waingort and 
                         Csiszar, Ivan and Strydom, Terica and Frost, Philip and Zhang, 
                         Tianran and Xu, Weidong and Jong, Mark de and Johnston, Joshua and 
                         Ellison, Luke and Vadrevu, Krishna and McCarty, Jessica and 
                         Tanpipat, Veerachai and Schmidt, Chris and San-Miguel, Jesus",
          affiliation = "{Kings College London} and {University of Southampton} and 
                         {University of Maryland} and {Michigan State University} and 
                         {Rocky Mountain Research Station} and {University of Idaho} and 
                         {University of Maryland} and {Howard University} and 
                         {NOAA/NESDIS/OSPO Satellite Analysis Branch} and {Trigg-Davies 
                         Consulting Ltd} and {University of Maryland} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {NOAA/NESDIS Center 
                         for Satellite Applications and Research (STAR)} and {South African 
                         National Parks} and {iMMAP Middle East} and {Kings College London} 
                         and {Kings College London} and {Kings College London} and Canadian 
                         Forest Service, Great Lakes Forestry Centre and {NASA Goddard 
                         Space Flight Center} and {NASA Marshall Space Flight Center} and 
                         {Miami University} and {Kasetsart University} and {University of 
                         Wisconsin} and {European Commission Joint Research Centre}",
                title = "Satellite remote sensing of active fires: History and current 
                         status, applications and future requirements",
              journal = "Remote Sensing of Environment",
                 year = "2021",
               volume = "267",
                pages = "e112694",
                month = "Dec.",
             keywords = "Active fire, FRP, Infrared, Review, Satellites.",
             abstract = "Landscape fire is a widespread, somewhat unpredictable phenomena 
                         that plays an important part in Earth's biogeochemical cycling. In 
                         many biomes worldwide fire also provides multiple ecological 
                         benefits, but in certain circumstances can also pose a risk to 
                         life and infrastructure, lead to net increases in atmospheric 
                         greenhouse gas concentrations, and to degradation in air quality 
                         and consequently human health. Accurate, timely and frequently 
                         updated information on landscape fire activity is essential to 
                         improve our understanding of the drivers and impacts of this form 
                         of biomass burning, as well as to aid fire management. This 
                         information can only be provided using satellite Earth Observation 
                         approaches, and remote sensing of active fire is one of the key 
                         techniques used. This form of Earth Observation is based on 
                         detecting the signature of the (mostly infrared) electromagnetic 
                         radiation emitted as biomass burns. Since the early 1980's, active 
                         fire (AF) remote sensing conducted using Earth orbiting (LEO) 
                         satellites has been deployed in certain regions of the world to 
                         map the location and timing of landscape fire occurrence, and from 
                         the early 2000's global-scale information updated multiple times 
                         per day has been easily available to all. Geostationary (GEO) 
                         satellites provide even higher frequency AF information, more than 
                         100 times per day in some cases, and both LEO- and GEO-derived AF 
                         products now often include estimates of a fires characteristics, 
                         such as its fire radiative power (FRP) output, in addition to the 
                         fires detection. AF data provide information relevant to fire 
                         activity ongoing when the EO data were collected, and this can be 
                         delivered with very low latency times to support applications such 
                         as air quality forecasting. Here we summarize the history of 
                         achievements in the field of active fire remote sensing, review 
                         the physical basis of the approaches used, the nature of the AF 
                         detection and characterization techniques deployed, and highlight 
                         some of the key current capabilities and applications. Finally, we 
                         list some important developments we believe deserve focus in 
                         future years.",
                  doi = "10.1016/j.rse.2021.112694",
                  url = "http://dx.doi.org/10.1016/j.rse.2021.112694",
                 issn = "0034-4257",
             language = "en",
           targetfile = "wooster_satellite.pdf",
        urlaccessdate = "31 maio 2024"
}