Logo do repositório

Geospatial Insights into Aridity Conditions: MODIS Products and GIS Modeling in Northeast Brazil

dc.contributor.authorSilva, Jhon Lennon Bezerra da
dc.contributor.authorSilva, Marcos Vinícius da
dc.contributor.authorJardim, Alexandre Maniçoba da Rosa Ferraz [UNESP]
dc.contributor.authorLopes, Pabrício Marcos Oliveira
dc.contributor.authorOliveira, Henrique Fonseca Elias de
dc.contributor.authorSilva, Josef Augusto Oberdan Souza
dc.contributor.authorMesquita, Márcio
dc.contributor.authorCarvalho, Ailton Alves de
dc.contributor.authorCézar Bezerra, Alan
dc.contributor.authorOliveira-Júnior, José Francisco de
dc.contributor.authorFerreira, Maria Beatriz
dc.contributor.authorCavalcante, Iara Tamires Rodrigues
dc.contributor.authorSilva, Elania Freire da
dc.contributor.authorMoura, Geber Barbosa de Albuquerque
dc.contributor.institutionGoiano Federal Institute—Campus Ceres
dc.contributor.institutionFederal Rural University of Pernambuco
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Federal de Goiás (UFG)
dc.contributor.institutionUniversidade Federal de Pernambuco (UFPE)
dc.contributor.institutionFederal University of Alagoas (UFAL)
dc.contributor.institutionFederal Rural University of Pernambuco (UFRPE)
dc.contributor.institutionNational Institute of the Semiarid (INSA)
dc.contributor.institutionFederal Rural University of the Semi-Arid
dc.date.accessioned2025-04-29T20:08:57Z
dc.date.issued2024-03-01
dc.description.abstractNortheast Brazil (NEB), particularly its semiarid region, represents an area highly susceptible to the impacts of climate change, including severe droughts, and intense anthropogenic activities. These stresses may be accelerating environmental degradation and desertification of soil in NEB. The main aim of this study was to gain geospatial insights into the biophysical parameters of surface energy balance and actual evapotranspiration on a multi-temporal scale, aiming to detect and analyze the spectral behavioral patterns of areas vulnerable to degradation processes, based on thematic maps at the surface, for NEB and mainly the semiarid region of NEB from 2000 to 2019. Geospatial data from 8-day MODIS sensor products were used, such as surface reflectance (Terra/MOD09A1 and Aqua/MYD09A1), surface temperature (Terra/MOD11A2 and Aqua/MYD11A2), and actual evapotranspiration (Terra/MOD16A2 and Aqua/MYD16A2), version 6. Therefore, in this study, pixel-to-pixel values were processed by calculating the average pixel statistics for each year. From the reflectance product, digital processing of the surface albedo and spectral vegetation indices was also carried out, using computational programming scripts and machine learning algorithms developed via the Google Earth Engine (GEE) platform. The study also presents a seasonal analysis of these components and their relationships over 20 years. Through vegetation indices and statistical correlations, a new predictive model of actual evapotranspiration was developed. The quantitative and spatiotemporal spectral patterns of the parameters were assessed through descriptive statistics, measures of central tendency and dispersion, and statistical error analyses and correlation indices. Thematic maps highlighted the pixel-to-pixel results, with patterns of high temperature distribution mainly in the central and northeastern part of NEB and the semiarid region of NEB, highlighting the formation of persistent heat islands over time. Meanwhile, in these areas, the maps of actual evapotranspiration showed a drastic reduction due to the lesser availability of energy. Over time, the semiarid region of NEB presented areas with little and/or no vegetation cover, which were highly well-defined between the years 2012 and 2019, confirming that these areas are extremely vulnerable to degradation and desertification processes due to significant loss of vegetative and water resilience. The components of energy balance were highly interconnected to climatological and environmental conditions, showing the severe results of drought and accentuation of the water deficit in NEB, presenting a greater condition of aridity in the semiarid region of NEB over time.en
dc.description.affiliationCerrado Irrigation Graduate Program Goiano Federal Institute—Campus Ceres, GO-154, km 218–Zona Rural, Goiás
dc.description.affiliationDepartment of Agricultural Engineering Federal Rural University of Pernambuco, Dom Manoel de Medeiros Avenue, s/n, Dois Irmãos, Pernambuco
dc.description.affiliationInstitute of Biosciences São Paulo State University (Unesp), São Paulo
dc.description.affiliationDepartment of Agronomy Federal University of Goiás (UFG), Nova Veneza, Km 0. Campus Samambaia–UFG, Goiás
dc.description.affiliationAcademic Unit of Serra Talhada Rural Federal University of Pernambuco (UFRPE), Av. Gregório Ferraz Nogueira, S/n, Pernambuco
dc.description.affiliationInstitute of Atmospheric Sciences (ICAT) Federal University of Alagoas (UFAL), Alagoas
dc.description.affiliationDepartment of Forest Science Federal Rural University of Pernambuco (UFRPE), Dom Manoel de Medeiros Avenue, s/n, Dois Irmãos, Pernambuco
dc.description.affiliationDepartment of Animal Production National Institute of the Semiarid (INSA), Av. Francisco Lopes de Almeida, s/n–Serrotão, Paraiba
dc.description.affiliationDepartment of Agricultural and Forestry Sciences Federal Rural University of the Semi-Arid, Rio Grande do Norte
dc.description.affiliationUnespInstitute of Biosciences São Paulo State University (Unesp), São Paulo
dc.identifierhttp://dx.doi.org/10.3390/hydrology11030032
dc.identifier.citationHydrology, v. 11, n. 3, 2024.
dc.identifier.doi10.3390/hydrology11030032
dc.identifier.issn2306-5338
dc.identifier.scopus2-s2.0-85188786963
dc.identifier.urihttps://hdl.handle.net/11449/307316
dc.language.isoeng
dc.relation.ispartofHydrology
dc.sourceScopus
dc.subjectbiophysical parameters
dc.subjectclimate variability
dc.subjectevapotranspiration
dc.subjectremote sensing
dc.subjectsevere drought
dc.subjectwater deficit
dc.titleGeospatial Insights into Aridity Conditions: MODIS Products and GIS Modeling in Northeast Brazilen
dc.typeArtigopt
dspace.entity.typePublication
unesp.author.orcid0000-0002-2611-4036[1]
unesp.author.orcid0000-0002-1318-2320[2]
unesp.author.orcid0000-0001-7094-3635[3]
unesp.author.orcid0000-0002-8268-747X[4]
unesp.author.orcid0000-0001-8698-292X[5]
unesp.author.orcid0000-0003-1722-5145[6]
unesp.author.orcid0000-0001-9399-4478[7]
unesp.author.orcid0000-0001-8783-649X[8]
unesp.author.orcid0000-0002-9986-9464[9]
unesp.author.orcid0000-0002-6131-7605[10]
unesp.author.orcid0000-0003-4730-2287[11]
unesp.author.orcid0000-0002-9913-6690[12]
unesp.author.orcid0000-0002-7176-3609[13]
unesp.author.orcid0000-0001-9073-8145[14]

Arquivos

Coleções