@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 = "11 maio 2024"
}