@Article{Velastegui-MontoyaLimaAdam:2020:MuAnDe,
author = "Velastegui-Montoya, Andres and Lima, Aline de and Adami, Marcos",
affiliation = "{Escuela Superior Polit{\'e}cnica del Litoral (ESPOL)} and
{Universidade Federal do Par{\'a} (UFPA)} and {Instituto Nacional
de Pesquisas Espaciais (INPE)}",
title = "Multitemporal analysis of deforestation in response to the
construction of the tucuru{\'{\i}} dam",
journal = "ISPRS International Journal of Geo-Information",
year = "2020",
volume = "9",
number = "10",
pages = "e583",
month = "Oct.",
keywords = "Amazon basin, land-cover, spatiotemporal pattern, landscape
metrics, hydroelectric dams.",
abstract = "The expansion of hydroelectric dams that is planned, and under
construction, in the Amazon basin is a proposal to generate clean
energy, with the purposes of meeting the regional energy demand,
and the insertion of Brazil into the international economic
market. However, this type of megaproject can change the dynamics
of natural ecosystems. In the present article, the spatiotemporal
patterns of deforestation according to distance from the reservoir
in the vicinity of the lake of Tucuru{\'{\i}}, and within a
radius of 30 km from it, are analyzed. A linear spectral mixture
model of segmented Landsat-thematic mapper (TM), enhanced thematic
mapper plus (ETM+), and operational land imager (OLI) images, and
proximity analysis were used for the mapping of the land-cover
classes in the vicinity of the artificial lake of
Tucuru{\'{\i}}. Likewise, landscape metrics were determined with
the purpose of quantifying the reduction of primary forest, as a
mechanism of loss of ecosystem services in the region. These
methods were also used for the evaluation of the influence of the
distance from the reservoir on the expansion of anthropogenic
activities. This methodology was used for the scenarios of
pre-inauguration, completion of phase I, beginning of construction
phase II, full completion of the Tucuru{\'{\i}} hydroelectric
project, and the current scenario of the region. The results
showed that the highest deforestation rate occurred in the first
period of the analysis, due to the areas submerged by the
reservoir and due to the anthropogenic disturbances, such as
timber extraction, road construction, and the conversion of
forests into large areas of agribusiness.",
doi = "10.3390/ijgi9100583",
url = "http://dx.doi.org/10.3390/ijgi9100583",
issn = "2220-9964",
language = "en",
targetfile = "montoya_2020.pdf",
urlaccessdate = "09 maio 2024"
}