@Article{MouraHGGSLMS:2016:ScEsVe,
author = "Moura, Yhasmin Mendes and Hilker, Thomas and Gon{\c{c}}alves,
F{\'a}bio Guimar{\~a}es and Galv{\~a}o, L{\^e}nio Soares and
Santos, Jo{\~a}o Roberto dos and Lyapustin, Alexei and Maeda,
Eduardo Eiji and Silva, Camila Val{\'e}ria de Jesus",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Oregon
State University} and {Agrosatelite Geotecnologia Aplicada} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {NASA Goddard Space
Flight Center} and {University of Helsinki} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Scaling estimates of vegetation structure in Amazonian tropical
forests using multi-angle MODIS observations",
journal = "International Journal of Applied Earth Observation and
Geoinformation",
year = "2016",
volume = "52",
pages = "580--590",
month = "Oct.",
keywords = "Canopy roughness, Multi-angle, MODIS, MAIAC, LiDAR, Anisotropy.",
abstract = "Detailed knowledge of vegetation structure is required for
accurate modelling of terrestrial ecosystems, but direct
measurements of the three dimensional distribution of canopy
elements, for instance from LiDAR, are not widely available. We
investigate the potential for modelling vegetation roughness, a
key parameter for climatological models, from directional
scattering of visible and near-infrared (NIR) reflectance acquired
from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS).
We compare our estimates across different tropical forest types to
independent measures obtained from: (1) airborne laser scanning
(ALS), (2) spaceborne Geoscience Laser Altimeter System
(GLAS)/ICESat, and (3) the spaceborne SeaWinds/QSCAT. Our results
showed linear correlation between MODIS-derived anisotropy to
ALS-derived entropy (r(2) = 0.54, RMSE = 0.11), even in high
biomass regions. Significant relationships were also obtained
between MODIS-derived anisotropy and GLAS-derived entropy (0.52 <=
r(2) <= 0.61; p<0.05), with similar slopes and offsets found
throughout the season, and RMSE between 0.26 and 0.30 (units of
entropy). The relationships between the MODIS-derived anisotropy
and backscattering measurements (sigma(0)) from SeaWinds/QuikSCAT
presented an r(2) of 0.59 and a RMSE of 0.11. We conclude that
multi-angular MODIS observations are suitable to extrapolate
measures of canopy entropy across different forest types,
providing additional estimates of vegetation structure in the
Amazon.",
doi = "10.1016/j.jag.2016.07.017",
url = "http://dx.doi.org/10.1016/j.jag.2016.07.017",
issn = "0303-2434",
language = "en",
targetfile = "moura_scaling.pdf",
urlaccessdate = "01 maio 2024"
}