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Vegetation Warming and Greenness Decline across Amazonia during the Extreme Drought of 2023

dc.contributor.authorJiménez, Juan Carlos
dc.contributor.authorMiranda, Vitor
dc.contributor.authorTrigo, Isabel
dc.contributor.authorLibonati, Renata
dc.contributor.authorAlbuquerque, Ronaldo
dc.contributor.authorPeres, Leonardo F.
dc.contributor.authorEspinoza, Jhan-Carlo
dc.contributor.authorMarengo, José Antonio [UNESP]
dc.contributor.institutionUniversitat de València Estudi General (UVEG)
dc.contributor.institutionPortuguese Institute of Sea and Atmosphere
dc.contributor.institutionUniversity of Lisbon
dc.contributor.institutionUniversidade Federal do Rio de Janeiro (UFRJ)
dc.contributor.institutionCNRS
dc.contributor.institutionPontificia Universidad Católica del Perú
dc.contributor.institutionNational Centre for Monitoring and Early Warning of Natural Disasters (CEMADEN)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionKorea University
dc.date.accessioned2025-04-29T20:02:25Z
dc.date.issued2024-07-01
dc.description.abstractIn 2023, most parts of the world experienced exceptional heat. In particular, anomalous warm temperatures and heatwave events were evidenced across South America during the second half of the year. The situation was particularly critical in the Amazon region in terms of not only hydrometeorological drought but also ecological and socioeconomic impacts. In this study, remote-sensing data collected from the Moderate Resolution Imaging Spectroradiometer (MODIS) were used to observe the changes in temperature and vegetation across Amazonia during the exceptional drought of 2023. This analysis was based on anomalies in the land surface temperature (LST) and vegetation indices: the enhanced vegetation index (EVI) and the normalized difference vegetation index (NDVI). The amplitude of the LST (AMP-LST), an indicator of the energy partitioning between the latent and sensible heat flux, and fire counts were also considered. The results show widespread and extreme warming across Amazonia during the austral spring in 2023, accompanied by a decline in vegetation greenness, water stress conditions across northern Amazonia, and an enhanced fire occurrence across central and northern Amazonia.en
dc.description.affiliationGlobal Change Unit (GCU) of the Image Processing Laboratory (IPL) Universitat de València Estudi General (UVEG), C/Catedrático José Beltrán 2, Valencia
dc.description.affiliationEarth Observation Unit Portuguese Institute of Sea and Atmosphere
dc.description.affiliationInstituto Dom Luiz (IDL) University of Lisbon, Campo Grande
dc.description.affiliationInstituto de Geociências (IGEO) Universidade Federal do Rio de Janeiro, RJ
dc.description.affiliationInstitut des Géosciences de l’Environnement Université Grenoble Alpes IRD CNRS, 70 Rue de la Physique, Bat. OSUG-B. Domaine Universitaire
dc.description.affiliationInstituto de Investigación Sobre la Enseñanza de las Matemáticas Pontificia Universidad Católica del Perú
dc.description.affiliationNational Centre for Monitoring and Early Warning of Natural Disasters (CEMADEN), Estrada Doutor Altino Bondesan, 500—Distrito de Eugênio de Melo, SP
dc.description.affiliationInstitute of Science and Technology São Paulo State University (UNESP), SP
dc.description.affiliationGraduate School of International Studies Korea University
dc.description.affiliationUnespInstitute of Science and Technology São Paulo State University (UNESP), SP
dc.identifierhttp://dx.doi.org/10.3390/rs16142519
dc.identifier.citationRemote Sensing, v. 16, n. 14, 2024.
dc.identifier.doi10.3390/rs16142519
dc.identifier.issn2072-4292
dc.identifier.scopus2-s2.0-85199920071
dc.identifier.urihttps://hdl.handle.net/11449/305207
dc.language.isoeng
dc.relation.ispartofRemote Sensing
dc.sourceScopus
dc.subjectAmazonia
dc.subjectdrought
dc.subjectMODIS
dc.subjecttemperature
dc.subjectvegetation
dc.titleVegetation Warming and Greenness Decline across Amazonia during the Extreme Drought of 2023en
dc.typeArtigopt
dspace.entity.typePublication
unesp.author.orcid0000-0001-7562-4895[1]
unesp.author.orcid0000-0003-4027-8210[2]
unesp.author.orcid0000-0001-8640-9170[3]
unesp.author.orcid0000-0001-7570-1993[4]
unesp.author.orcid0009-0005-5995-5893[5]
unesp.author.orcid0000-0001-6820-6935[6]
unesp.author.orcid0000-0001-8578-7639[8]

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