@Article{PeixotoTrinKuplAlme:2022:AnTeSu,
author = "Peixoto, Daniela Wancura Barbieri and Trindade, Patr{\'{\i}}cia
Michele Pereira and Kuplich, Tatiana Mora and Almeida, Claudio
Aparecido de",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "An{\'a}lise da temperatura de superf{\'{\i}}cie em diferentes
coberturas do Bioma Pampa",
journal = "Revista Brasileira de Geografia F{\'{\i}}sica",
year = "2022",
volume = "15",
number = "1",
pages = "268--281",
keywords = "environment monitoring, grassland typologies, Thermal images,
vegetation cover.",
abstract = "The aim of this research was to describe and analyze the thermal
characteristics of different land cover types, including grassland
typologies, from the Pampa biome, using Landsat 8 TIRS thermal
bands in the winter and summer seasons. Thus, three main steps
were performed: (1) estimating land surface temperature (LTS) and
vegetation indices from Landsat 8 images, TIRS and OLI sensors;
(2) defining samples for interpretation and analysis; (3)
analysing LST in the different land cover classes (crops,
grassland and forest) and grassland typologies (Shrubby
grasslands, Coastal grasslands, Andropogoneae and asteraceae mixed
grasslands, Aristida spp. grasslands, Shallow soils grasslands,
Sandy grasslands, Eastern Crystaline mixed grasslands, Grassy
grasslands and Vachellia caven grasslands). LST ranged from 10°C
to 44°C, with minimum recorded in August and maximum in December.
The diferent land cover temperatures differed statistically from
each other (\α=0.05), with crops presenting temperatures at
up to 6°C higher in relation to forests and 2.8°C higher in
relation to grasslands. We conclude that thermal images are
important for research on the Pampa Biome, as they allow following
thermal characteristics of different land covers and pointing out
areas that undergo LST significant changes in monitoring
schemes.",
doi = "10.26848/rbgf.v15.1.p268-281",
url = "http://dx.doi.org/10.26848/rbgf.v15.1.p268-281",
issn = "1984-2295",
language = "pt",
targetfile = "Peixoto_2022_analise.pdf",
urlaccessdate = "29 jun. 2024"
}