@InProceedings{Espírito-SantoSaatKell:2017:UsLiRe,
author = "Esp{\'{\i}}rito-Santo, Fernando Del Bon and Saatchi, Sassan and
Keller, Michael",
title = "Using lidar remote sensing to quantify tree-fall gaps in tropical
rain forests",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "6006--6013",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Remote observation using light detection and ranging (lidar)
offers a unique opportunity to quantify the geometry and size
structure of tropical forests contiguously at fine spatial
resolution. We used ten samples of airborne lidar data from
tropical forests six regions from Brazil, and other Neotropical
forests such as Peru, French Gui, Panama and Costa Rica. We
quantify gap size frequency distribution along vertical and
horizontal dimensions in ten Neotropical forest canopies
distributed across gradients of climate and landscapes using
airborne lidar measurements. We found that natural forest
disturbances (tree-fall gaps) follow a power-law distribution.
Mean gap area (50 to 900 m2) and frequency (10,960 to 27,158)
varied considerably among sites (200-ha each). However, we found
that imposing a minimum gap area (20 m2) constrained the exponent
of the power-law fit of gap frequency to a narrow range from -1.2
to -1.3. This contrasts with previous studies that included
smaller canopy gaps (1-20 m2). The convergence of gap frequency
distribution represented by the narrow range of the power-law
exponents found in this study suggests an invariant scaling
property of gaps in Neotropical forests.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59343",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMC5C",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMC5C",
targetfile = "59343.pdf",
type = "LIDAR: sensores e aplica{\c{c}}{\~o}es",
urlaccessdate = "27 abr. 2024"
}