@Article{OliveiraFPNGCSRM:2017:SiCaRe,
author = "Oliveira, Julianne de Castro and Feret, Jean-Baptiste and Ponzoni,
Fl{\'a}vio Jorge and Nouvellon, Yann and Gastellu-Etchegorry,
Jean-Philippe and Campoe, Otavio Camargo and Stape, Jos{\'e} Luiz
and Rodriguez, Luiz Carlos Estraviz and Maire, Guerric le",
affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {UMR TETIS} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and CIRAD, UMR
ECO\&SOLS and {Centre d’Etudes Spatiales de la Biosphere} and
{Universidade Federal de Santa Catarina (UFSC)} and {Suzano
Celulose e Papel} and {Universidade de S{\~a}o Paulo (USP)} and
CIRAD, UMR ECO\&SOLS",
title = "Simulating the canopy reflectance of different eucalypt genotypes
with the DART 3-D model",
journal = "IEEE Journal of Selected Topics in Applied Earth Observations and
Remote Sensing",
year = "2017",
volume = "10",
number = "11",
pages = "4844--4852",
month = "Nov.",
keywords = "Discrete Anisotropic Radiative Transfer (DART), eucalypt,
radiative transfer model (RTM), remote sensing, three-dimensional
(3-D) modeling.",
abstract = "Finding suitable models of canopy reflectance in forward
simulation mode is a prerequisite for their use in inverse mode to
characterize canopy variables of interest, such as leaf area index
(LAI) or chlorophyll content. In this study, the accuracy of the
three-dimensional reflectance model DART (Discrete Anisotropic
Radiative Transfer) was assessed for canopies of different
genotypes of Eucalyptus, having distinct biophysical and
biochemical characteristics, to improve the knowledge on how these
characteristics are influencing the reflectance signal as measured
by passive orbital sensors. The first step was to test the model
suitability to simulate reflectance images in the visible and near
infrared. We parameterized DART model using extensive measurements
from Eucalyptus plantations including 16 contrasted genotypes.
Forest inventories were conducted and leaf, bark, and forest floor
optical properties were measured. Simulation accuracy was
evaluated by comparing the mean top of canopy (TOC) bidirectional
reflectance of DART with TOC reflectance extracted from a Pleiades
very high resolution satellite image. Results showed a good
performance of DART with mean reflectance absolute error lower
than 2%. Intergenotype reflectance variability was correctly
simulated, but the model did not succeed at catching the slight
spatial variation for a given genotype, excepted when large gaps
appeared due to tree mortality. The second step consisted of
sensitivity analysis to explore which biochemical or biophysical
characteristics influenced more the canopy reflectance between
genotypes. Perspectives for using DART model in inversion mode in
these ecosystems were discussed.",
doi = "10.1109/JSTARS.2017.2690000",
url = "http://dx.doi.org/10.1109/JSTARS.2017.2690000",
issn = "1939-1404 and 2151-1535",
language = "en",
targetfile = "oliveira_simulating.pdf",
urlaccessdate = "27 abr. 2024"
}