@Article{VieiraCBRTASS:2018:AnInDa,
author = "Vieira, Rita M{\'a}rcia da Silva Pinto and Cunha, Ana Paula
Martins do Amaral and Barbosa, Alexandre Augusto and Ribeiro Neto,
Germando Gondim and Tomasella, Javier and Alval{\'a}, Regina
C{\'e}lia dos Santos and Santos, Fabr{\'{\i}}cia Cristina and
Santana, Marcos de Oliveira",
affiliation = "{Centro Nacional de Monitoramento e Alertas de Desastres Naturais
(CEMADEN)} and {Centro Nacional de Monitoramento e Alertas de
Desastres Naturais (CEMADEN)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Centro Nacional de Monitoramento e Alertas
de Desastres Naturais (CEMADEN)} and {Centro Nacional de
Monitoramento e Alertas de Desastres Naturais (CEMADEN)} and
{Centro Nacional de Monitoramento e Alertas de Desastres Naturais
(CEMADEN)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}
and {Minist{\'e}rio do Meio Ambiente (MMA)}",
title = "An{\'a}lise das intera{\c{c}}{\~o}es entre dados
clim{\'a}ticos e o processo de desertifica{\c{c}}{\~a}o no
n{\'u}cleo de desertifica{\c{c}}{\~a}o de Cabrob{\'o}-PE,
Brasil",
journal = "Sustentabilidade em Debate",
year = "2018",
volume = "9",
number = "2",
pages = "72--87",
month = "ago.",
keywords = "Degrada{\c{c}}{\~a}o do Solo, Nordeste do Brasil, Mudan{\c{c}}a
de Uso e Cobertura da Terra, Clima, Soil degradation, Northeast of
Brazil, Land Use and Land Cover Change, Climate.",
abstract = "No presente estudo avaliou-se a din{\^a}mica das mudan{\c{c}}as
de usos e cobertura da terra no n{\'u}cleo de
desertifica{\c{c}}{\~a}o de Cabrob{\'o}-PE, a partir de
abordagem que inclui a varia{\c{c}}{\~a}o espa{\c{c}}o-temporal
de dados ambientais e de clima. Para a execu{\c{c}}{\~a}o do
trabalho, utilizaram-se o software ArcGis e a Plataforma do Google
Earth Engine. Essa plataforma combina um cat{\'a}logo de imagens
de sat{\'e}lite e conjuntos de dados geoespaciais com recursos de
an{\'a}lise em escala planet{\'a}ria e os disponibiliza a
cientistas, pesquisadores e desenvolvedores, o que possibilita
detectar mudan{\c{c}}as, mapear tend{\^e}ncias e quantificar
diferen{\c{c}}as de altera{\c{c}}{\~o}es na superf{\'{\i}}cie
terrestre. De acordo com os resultados obtidos, foi
poss{\'{\i}}vel constatar que as {\'a}reas de floresta no
n{\'u}cleo de Cabrob{\'o} diminu{\'{\i}}ram 54%, sendo estas
substitu{\'{\i}}das por {\'a}reas de solo exposto e {\'a}reas
degradadas no per{\'{\i}}odo de 2000 a 2016. As {\'a}reas
degradadas foram caracterizadas por apresentarem temperatura de
superf{\'{\i}}cie mais elevada (37,5oC), tendo aumentado em 1oC
no per{\'{\i}}odo de 2009 a 2016. O aumento da temperatura da
superf{\'{\i}}cie pode estar associado ao estresse
h{\'{\i}}drico que tende a se agravar em {\'a}reas com alto
grau de degrada{\c{c}}{\~a}o do solo. A combina{\c{c}}{\~a}o
das informa{\c{c}}{\~o}es analisadas no presente estudo permite
monitorar {\'a}reas heterog{\^e}neas, identificando pontos
cr{\'{\i}}ticos (hotspots) que requerem a{\c{c}}{\~o}es
imediatas de recupera{\c{c}}{\~a}o e implementa{\c{c}}{\~a}o
de manejo adequado. ABSTRACT: This study assessed the dynamics of
the Land Use and Land Cover Changes in the desertification hotspot
of Cabrob{\'o}-PE using an approach that includes the space-time
variation of environmental and climate data. To achieve this goal,
the ArcGis software and the Google Earth Engine Platform were
used. This platform combines a catalog of satellite imagery and
geospatial datasets with planetary-scale analysis capabilities and
makes it available for scientists, researchers, and developers
allowing the detection of changes, map trends, and quantify
differences on the Earths surface. Results showed that forested
areas decreased 54% between 2000 and 2016, being replaced by areas
of bare soil and degraded areas. The degraded areas were
characterized by higher land surface temperature (37.5%
\⁰C) and by an increase of 1\⁰C in the period 2009
to 2016. The increase in land surface temperature may be
associated with the water stress, which usually worsens in areas
with a high degree of soil degradation. The combination of the
information analyzed in the present study allows the monitoring of
heterogeneous areas, identifying hotspots that require immediate
recovery actions and the improved of soil management.",
doi = "10.18472/SustDeb.v9n2.2018.27559",
url = "http://dx.doi.org/10.18472/SustDeb.v9n2.2018.27559",
issn = "2177-7675",
language = "en",
targetfile = "vieira_analise.pdf",
urlaccessdate = "27 abr. 2024"
}