@InProceedings{Macedo:2008:ThAiLi,
author = "Macedo, Rodrigo de Campos",
affiliation = "{Instituto Nacional de Pesquisas Espaciais}",
title = "Wood Prognosis from Homogeneous Forests of Eucalyptus spp.
Throughout Airborne LiDAR Data",
booktitle = "Abstracts...",
year = "2008",
organization = "SilviLaser, 7.",
keywords = "LiDAR, forest inventory, forest structure, Eucalyptus stands,
remote sensing.",
abstract = "The rational utilization of forest resources has motivated the
utilization of remote sensing data not only as a tool for
controlling and monitoring, but also as a support to forest
inventory and its results have contributed for studies in several
fields, from carbon emission to quantitative analyses of wood
biomass for the cellulose production. As hypothesis, this search
presumes a high correlation between the wood prognosis obtained by
the multivariate regression considering Total Height, Number of
Trees, Crown Area and Crown Cover Percent; and the wood prognosis
obtained by the traditional methods (ground truth). The main aim
of this search is evaluating the potential use of airborne LiDAR
to wood prognosis in homogeneous forests of Eucalyptus spp with
0.5 to 7 years of age, located in Vale do Para{\'{\i}}ba region,
S{\~a}o Paulo state. It will be sampled 2,065 ha located around
Igarat{\'a}, S{\~a}o Jos{\'e} dos Campos and Monteiro Lobato
municipalities, which will regard several sort of forest
management. It will be employed an Optech ALTM 2050 sensor of
50KHz, with a 0.20m footprint, an 0.15m altimetric error and an
0.50m planimetric error; GPS Novatel Millennium of 1Hz; inertial
measure system Applanix. of 200Hz, and high resolution metric
camera (RGB). The first stage consists of generation of digital
models (Digital Surface Model DSM and, Digital Terrain Model DTM).
The DTM will be validated through four altimetric profiles (with
and without forest canopy; plain and hilly topography) pointed at
every 2.5m by the use of optical level, precision clinometer and
positioned by a DGPS and Total Station. By the subtraction of a
model in another one, it will be obtained the Digital Hypsometric
Model (DHM). After the discrimination of the trees, the following
variables will be obtained: Number of Trees, Total Height and
Crown Area. There are 110 rectangular plots of 360m2 in the farms
cited above, which have been positioned with DGPS and Total
Station, where the following variables have been measured: Number
of Trees, DBH, Total Height, Crown Area and Crown Cover Percent.
The power of correlation between these variables will be
evaluated, and is be expected that there is high correlation
between Total Height and DBH; Crown Area/ Crown Cover Percent and
DBH, mainly. If the hypothesis be confirmed, is technically
possible using the LiDAR to forest inventory in homogeneous
forests of Eucalyptus spp. The following products will be obtained
from this search: DSM; DTM; DHM; Harvest Map; Replanting Map;
Hydrographic Map; Topographic Map (1:10.000) and the following
tables information: Number of Trees, Crown Area, Crown Cover
Percent, Total Height and Wood Prognosis.",
conference-location = "Edinburgh, Scotland/UK",
conference-year = "set. 2008",
label = "self-archiving-INPE-MCTI-GOV-BR",
language = "en",
targetfile = "Macedo_Silvilaser_2008.pdf",
urlaccessdate = "18 jun. 2024"
}