Spatio-temporal variability of the biophysical variables in the semi-arid region of Rio Grande do Norte, Brazil

The determination of biophysical parameters, such as the Normalized Difference Vegetation Index (NDVI) and the surface temperature (Ts), are of extreme importance for studies of climate changes in the environment in general. With this, the aim of the present study was to analyze the spatio-temporal...

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Main Authors:	Hélio Nogueira Bezerra, Joel Medeiros Bezerra, Caio Sérgio Pereira de Araújo, Arthur Mattos
Format:	Article
Language:	Portuguese
Published:	Universidade Federal de Santa Catarina 2019-07-01
Series:	Geosul
Subjects:	Algoritmo Caatinga Sensoriamento Remoto Variáveis biofísicas
Online Access:	https://periodicos.ufsc.br/index.php/geosul/article/view/48978

id	doaj-357921ceee9d400695fba035ebc7ea7c
record_format	Article
spelling	doaj-357921ceee9d400695fba035ebc7ea7c2020-11-25T02:34:57ZporUniversidade Federal de Santa CatarinaGeosul0103-39642177-52302019-07-01347218420110.5007/1982-5153.2019v34n72p18431942Spatio-temporal variability of the biophysical variables in the semi-arid region of Rio Grande do Norte, BrazilHélio Nogueira Bezerra0Joel Medeiros Bezerra1Caio Sérgio Pereira de Araújo2Arthur Mattos3Mestre em Engenharia Sanitária pela Universidade Federal do Rio Grande do Norte - UFRNProfessor Adjunto da Universidade Federal Rural do Semi-Árido, Centro Multidisciplinar de Pau dos FerrosBacharel em Ciência e Tecnologia e Graduando em Engenharia Ambiental e Sanitária pela Universidade Federal Rural do Semi-Árido (UFERSA),Universidade Federal do Rio Grande do NorteThe determination of biophysical parameters, such as the Normalized Difference Vegetation Index (NDVI) and the surface temperature (Ts), are of extreme importance for studies of climate changes in the environment in general. With this, the aim of the present study was to analyze the spatio-temporal variability of the biophysical variables of Ts and NDVI, using remote sensing techniques and products, in heterogeneous area, with predominance of Caatinga vegetal cover, associating the responses of the seasonal events of precipitation (P) and average daily air temperature (Tar). The results obtained showed clearly the behavior of Caatinga vegetation upon the temporal distribution of rainfall, presenting results of NDVI higher for the periods with higher water availability and of Ts smaller, due to influence of green biomass development on these two variables.https://periodicos.ufsc.br/index.php/geosul/article/view/48978AlgoritmoCaatingaSensoriamento RemotoVariáveis biofísicas
collection	DOAJ
language	Portuguese
format	Article
sources	DOAJ
author	Hélio Nogueira Bezerra Joel Medeiros Bezerra Caio Sérgio Pereira de Araújo Arthur Mattos
spellingShingle	Hélio Nogueira Bezerra Joel Medeiros Bezerra Caio Sérgio Pereira de Araújo Arthur Mattos Spatio-temporal variability of the biophysical variables in the semi-arid region of Rio Grande do Norte, Brazil Geosul Algoritmo Caatinga Sensoriamento Remoto Variáveis biofísicas
author_facet	Hélio Nogueira Bezerra Joel Medeiros Bezerra Caio Sérgio Pereira de Araújo Arthur Mattos
author_sort	Hélio Nogueira Bezerra
title	Spatio-temporal variability of the biophysical variables in the semi-arid region of Rio Grande do Norte, Brazil
title_short	Spatio-temporal variability of the biophysical variables in the semi-arid region of Rio Grande do Norte, Brazil
title_full	Spatio-temporal variability of the biophysical variables in the semi-arid region of Rio Grande do Norte, Brazil
title_fullStr	Spatio-temporal variability of the biophysical variables in the semi-arid region of Rio Grande do Norte, Brazil
title_full_unstemmed	Spatio-temporal variability of the biophysical variables in the semi-arid region of Rio Grande do Norte, Brazil
title_sort	spatio-temporal variability of the biophysical variables in the semi-arid region of rio grande do norte, brazil
publisher	Universidade Federal de Santa Catarina
series	Geosul
issn	0103-3964 2177-5230
publishDate	2019-07-01
description	The determination of biophysical parameters, such as the Normalized Difference Vegetation Index (NDVI) and the surface temperature (Ts), are of extreme importance for studies of climate changes in the environment in general. With this, the aim of the present study was to analyze the spatio-temporal variability of the biophysical variables of Ts and NDVI, using remote sensing techniques and products, in heterogeneous area, with predominance of Caatinga vegetal cover, associating the responses of the seasonal events of precipitation (P) and average daily air temperature (Tar). The results obtained showed clearly the behavior of Caatinga vegetation upon the temporal distribution of rainfall, presenting results of NDVI higher for the periods with higher water availability and of Ts smaller, due to influence of green biomass development on these two variables.
topic	Algoritmo Caatinga Sensoriamento Remoto Variáveis biofísicas
url	https://periodicos.ufsc.br/index.php/geosul/article/view/48978
work_keys_str_mv	AT helionogueirabezerra spatiotemporalvariabilityofthebiophysicalvariablesinthesemiaridregionofriograndedonortebrazil AT joelmedeirosbezerra spatiotemporalvariabilityofthebiophysicalvariablesinthesemiaridregionofriograndedonortebrazil AT caiosergiopereiradearaujo spatiotemporalvariabilityofthebiophysicalvariablesinthesemiaridregionofriograndedonortebrazil AT arthurmattos spatiotemporalvariabilityofthebiophysicalvariablesinthesemiaridregionofriograndedonortebrazil
_version_	1724806228567130112

Spatio-temporal variability of the biophysical variables in the semi-arid region of Rio Grande do Norte, Brazil

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