@Article{CardosoHurMooNobBai:2005:FiWoSt,
               author = "Cardoso, Manoel F. and Hurtta, George C. and Moore, Berrien and 
                         Nobre, Carlos Afonso and Baina, Heather",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Centro de 
                         Previsao de Tempo e Estudos Climaticos (CPTEC)}",
                title = "Field work and statistical analyses for enhanced interpretation of 
                         satellite fire data",
              journal = "Remote Sensing of Environment",
                 year = "2005",
               volume = "96",
               number = "2",
                pages = "212--227",
                month = "May",
             keywords = "remotely sensed data, boreal forst-fires, nutrient pools, 
                         detection algoritms, Brasilian Amazon, accuracy assessment, 
                         rain-forests, scar-B, biomass, dynamics.",
             abstract = "Because their broad spatial and temporal coverage, satellites 
                         provide the main source of fire data for Amazonia. A key to the 
                         application of these tools for environmental studies is the 
                         appropriate interpretation of the data they provide. To enhance 
                         the interpretation of satellite fire data for this region, we 
                         collected ground-based data on fires in 2001 and 2002 using a 
                         simple and passive method, and statistically related these data to 
                         corresponding estimates from AVHRR and MODIS fire products using 
                         error matrices. Multiple methods of analyses from simple to 
                         complex produced qualitatively similar results. Total accuracies 
                         for both fire products were very high (> 99%) and dominated by 
                         accurate (> 99%) non-fire detection. Kappa statistics and 
                         fire-detection accuracies were substantially lower, with omission 
                         errors higher than commission errors. Results calculated using 
                         several different sets of spatial-matching parameters of analysis 
                         showed that Kappa was 1-10.6% for AVHRR, and 0-1.4% for MODIS. 
                         User's accuracy for fires was 0-40% for AVHRR and 3-100% for 
                         MODIS. Producer's accuracy for fires was 0-8% for AVHRR and 0-1% 
                         for MODIS. Statistical evaluations of potential explanatory 
                         factors showed that fire size and sampling time were dominant 
                         factors for low accuracies. Results from this study indicate that 
                         current satellite fire products are providing a limited sample of 
                         the fire activity in the region, and that ground-based analyses 
                         can substantially contribute to the interpretation of these 
                         products. (c) 2005 Elsevier Inc. All rights reserved.",
           copyholder = "SID/SCD",
                 issn = "0034-4257",
             language = "en",
           targetfile = "Cardoso_Field work and.pdf",
        urlaccessdate = "16 jun. 2024"
}