@Article{NeeffBigDutFreSan:2005:MaPoPr,
author = "Neeff, Till and Biging, Gregory and Dutra, Luciano Vieira and
Freitas, Corina da Costa and Santos, Joao Roberto dos",
affiliation = "Biometry Department, University of Freiburg, Tennenbacher Freiburg
Brsg., Germany and {University of California at Berkeley} and
Instituto Nacional de Pesquisas Espaciais, Divis{\~a}o de
Processamento de Imagens (INPE, DPI) and Instituto Nacional de
Pesquisas Espaciais, Divis{\~a}o de Processamento de Imagens
(INPE, DPI) and Instituto Nacional de Pesquisas Espaciais.
Divis{\~a}o de Sensoriamento Remoto(INPE, DSR)",
title = "Markov point processes for modeling of spatial forest patterns in
Amazonia derived from interferometric height",
journal = "Remote Sensing of Environment",
year = "2005",
volume = "97",
number = "4",
pages = "484--494",
month = "Sept.",
note = "{Amazon; ecological modeling; interferometric height; K-function;
local maximum filtering; Markov process; pair potential function;
primary forest; radar; remote sensing; spatial point pattern;
Strauss process}",
keywords = "Amazon, ecological modeling, interferometric height, K-function,
local maximum filtering, Markov process, pair potential function,
primary forest, radar, spatial point pattern, Strauss process.",
abstract = "The spatial distribution of very large trees in primary Amazon
forest is studied with an indicative data set. Very large trees
with height larger than 30 in are shown to be highly influential
on forest structure, ecology and biomass regime. In particular,
they account for a large portion of total above-ground biomass.
Their spatial patterns are extracted from airborne SAR data,
namely from a digital model- of interferometric forest height, by
an approach of local maximum filtering. The spatial point patterns
describing the distribution of very large trees in the forest
within three sample blocks of 100 ha each are modeled by a series
of Markov point process models. These models are fitted and
assessed by standard spatial statistical methodology. Spatial
distribution is regular, and interaction decreases with distance;
very large trees are shown to exert repulsive interaction with
their neighboring very large trees. The significance of these
results for approaches of quantitative forest assessment in
primary forests in the Brazilian Amazon is discussed. (C) 2005
Elsevier Inc. All rights reserved.",
copyholder = "SID/SCD",
doi = "10.1016/j.rse.2005.05.019",
url = "http://dx.doi.org/10.1016/j.rse.2005.05.019",
issn = "0034-4257",
language = "en",
targetfile = "markov point.pdf",
urlaccessdate = "20 maio 2024"
}