@Article{OliveiraBrMoBeSaShAr:2016:UsMOSe,
               author = "Oliveira, Gabriel de and Brunsell, Nathaniel A. and Moraes, 
                         Elisabete Caria and Bertani, Gabriel and Santos, Thiago V. dos and 
                         Shimabukuro, Yosio Edemir and Arag{\~a}o, Luiz Eduardo Oliveira e 
                         Cruz de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and Department 
                         of Geography and Atmospheric Science, University of Kansas, 1475 
                         Jayhawk Boulevard, Lawrence, KS, United States and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and Department of Soil, Water and 
                         Climate, University of Minnesota, 1991 Upper Bufford Circle, Saint 
                         Paul, MN, United States and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Use of MODIS sensor images combined with reanalysis products to 
                         retrieve net radiation in Amazonia",
              journal = "Sensors",
                 year = "2016",
               volume = "16",
               number = "7",
                pages = "956",
                month = "July",
             keywords = "Amazon region, GLDAS data, LBA project, MODIS sensor, Net 
                         radiation.",
             abstract = "In the Amazon region, the estimation of radiation fluxes through 
                         remote sensing techniques is hindered by the lack of ground 
                         measurements required as input in the models, as well as the 
                         difficulty to obtain cloud-free images. Here, we assess an 
                         approach to estimate net radiation (Rn) and its components under 
                         all-sky conditions for the Amazon region through the Surface 
                         Energy Balance Algorithm for Land (SEBAL) model utilizing only 
                         remote sensing and reanalysis data. The study period comprised six 
                         years, between January 2001December 2006, and images from MODIS 
                         sensor aboard the Terra satellite and GLDAS reanalysis products 
                         were utilized. The estimates were evaluated with flux tower 
                         measurements within the Large-Scale Biosphere-Atmosphere 
                         Experiment in Amazonia (LBA) project. Comparison between estimates 
                         obtained by the proposed method and observations from LBA towers 
                         showed errors between 12.5% and 16.4% and 11.3% and 15.9% for 
                         instantaneous and daily Rn, respectively. Our approach was 
                         adequate to minimize the problem related to strong cloudiness over 
                         the region and allowed to map consistently the spatial 
                         distribution of net radiation components in Amazonia. We conclude 
                         that the integration of reanalysis products and satellite data, 
                         eliminating the need for surface measurements as input model, was 
                         a useful proposition for the spatialization of the radiation 
                         fluxes in the Amazon region, which may serve as input information 
                         needed by algorithms that aim to determine evapotranspiration, the 
                         most important component of the Amazon hydrological balance.",
                  doi = "10.3390/s16070956",
                  url = "http://dx.doi.org/10.3390/s16070956",
                 issn = "1424-8220",
             language = "en",
           targetfile = "oliverira_use.pdf",
        urlaccessdate = "28 abr. 2024"
}