Land surface temperature in an arid city: assessing spatio-temporal changes

Autores
Campos, Valeria Evelin; Gatica, Gabriel; Andino, Natalia del Pilar; Fernandez Viviana; Cardús Monserrat, Adriana Lorena
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In a city located in a desert environment (Tulum Valley, Argentina) we proposed to assess in the coldest and warmest periods (1) the urban cold/heat island (UCI/UHI) phenomenon; 2) which driving factors currently affect the Land Surface Temperature (LST). In the study area, we selected 50 points for the urban class and 49 points for the rural class. The LST data was obtained from Landsat 5 TM y Landsat 8 OLI/TIRS, for 1988, 2000, 2010, and 2021 years. As driver factors, we assessed the median (med) and standard deviation (sd) of NDVI (Normalized Difference Vegetation Index), NDBI (Normalized Differences Built-up Index), and BI (Brightness Index). The Tulum Valley behaved like a UCI during almost all studied years, except for 2010 and 2021. Probably because the city was undergoing reconstruction after a major earthquake. In the urban class, the LST were affected positively by NDVImed during the cold period, while in the rural class the LST were explained by a negative relationship with NDVImed, and positive with NDBImed. In the urban class during the warm periods, the LST were affected negatively by BIsd, BImed, NDVImed, and NDVIsd, which leads to a decrease in LST. Contrarily, an increase of NDBIsd produces an increment of LST. The only driver for LST in the rural class was NDBImed, which had a positive effect. Different drivers affected the LST behavior in Tulum Valley, moreover, these drivers explained more variability in rural than in urban class.
Fil: Campos, Valeria Evelin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina
Fil: Gatica, Gabriel. Instituto Nacional de Tecnología Agropecuaria; Argentina
Fil: Andino, Natalia del Pilar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina
Fil: Fernandez Viviana. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Departamento de Biología; Argentina
Fil: Cardús Monserrat, Adriana Lorena. Universidad Nacional de San Juan; Argentina
Materia
URBAN COLD ISLAND
DRIVERS OF TEMPERATURE
VEGETATION
BUILT UP-AREAS
BARE SOIL
HETEROGENEITY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/232349
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/232349
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Land surface temperature in an arid city: assessing spatio-temporal changesCampos, Valeria EvelinGatica, GabrielAndino, Natalia del PilarFernandez VivianaCardús Monserrat, Adriana LorenaURBAN COLD ISLANDDRIVERS OF TEMPERATUREVEGETATIONBUILT UP-AREASBARE SOILHETEROGENEITYhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1In a city located in a desert environment (Tulum Valley, Argentina) we proposed to assess in the coldest and warmest periods (1) the urban cold/heat island (UCI/UHI) phenomenon; 2) which driving factors currently affect the Land Surface Temperature (LST). In the study area, we selected 50 points for the urban class and 49 points for the rural class. The LST data was obtained from Landsat 5 TM y Landsat 8 OLI/TIRS, for 1988, 2000, 2010, and 2021 years. As driver factors, we assessed the median (med) and standard deviation (sd) of NDVI (Normalized Difference Vegetation Index), NDBI (Normalized Differences Built-up Index), and BI (Brightness Index). The Tulum Valley behaved like a UCI during almost all studied years, except for 2010 and 2021. Probably because the city was undergoing reconstruction after a major earthquake. In the urban class, the LST were affected positively by NDVImed during the cold period, while in the rural class the LST were explained by a negative relationship with NDVImed, and positive with NDBImed. In the urban class during the warm periods, the LST were affected negatively by BIsd, BImed, NDVImed, and NDVIsd, which leads to a decrease in LST. Contrarily, an increase of NDBIsd produces an increment of LST. The only driver for LST in the rural class was NDBImed, which had a positive effect. Different drivers affected the LST behavior in Tulum Valley, moreover, these drivers explained more variability in rural than in urban class.Fil: Campos, Valeria Evelin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; ArgentinaFil: Gatica, Gabriel. Instituto Nacional de Tecnología Agropecuaria; ArgentinaFil: Andino, Natalia del Pilar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; ArgentinaFil: Fernandez Viviana. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Departamento de Biología; ArgentinaFil: Cardús Monserrat, Adriana Lorena. Universidad Nacional de San Juan; ArgentinaSpringer2023-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/232349Campos, Valeria Evelin; Gatica, Gabriel; Andino, Natalia del Pilar; Fernandez Viviana; Cardús Monserrat, Adriana Lorena; Land surface temperature in an arid city: assessing spatio-temporal changes; Springer; Remote Sensing in Earth Systems Sciences; 6; 1-2; 5-2023; 90-1042520-8195CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.researchsquare.com/article/rs-2284451/v1info:eu-repo/semantics/altIdentifier/doi/10.21203/rs.3.rs-2284451/v1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:47:20Zoai:ri.conicet.gov.ar:11336/232349instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:47:20.44CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Land surface temperature in an arid city: assessing spatio-temporal changes
title Land surface temperature in an arid city: assessing spatio-temporal changes
spellingShingle Land surface temperature in an arid city: assessing spatio-temporal changes
Campos, Valeria Evelin
URBAN COLD ISLAND
DRIVERS OF TEMPERATURE
VEGETATION
BUILT UP-AREAS
BARE SOIL
HETEROGENEITY
title_short Land surface temperature in an arid city: assessing spatio-temporal changes
title_full Land surface temperature in an arid city: assessing spatio-temporal changes
title_fullStr Land surface temperature in an arid city: assessing spatio-temporal changes
title_full_unstemmed Land surface temperature in an arid city: assessing spatio-temporal changes
title_sort Land surface temperature in an arid city: assessing spatio-temporal changes
dc.creator.none.fl_str_mv Campos, Valeria Evelin
Gatica, Gabriel
Andino, Natalia del Pilar
Fernandez Viviana
Cardús Monserrat, Adriana Lorena
author Campos, Valeria Evelin
author_facet Campos, Valeria Evelin
Gatica, Gabriel
Andino, Natalia del Pilar
Fernandez Viviana
Cardús Monserrat, Adriana Lorena
author_role author
author2 Gatica, Gabriel
Andino, Natalia del Pilar
Fernandez Viviana
Cardús Monserrat, Adriana Lorena
author2_role author
author
author
author
dc.subject.none.fl_str_mv URBAN COLD ISLAND
DRIVERS OF TEMPERATURE
VEGETATION
BUILT UP-AREAS
BARE SOIL
HETEROGENEITY
topic URBAN COLD ISLAND
DRIVERS OF TEMPERATURE
VEGETATION
BUILT UP-AREAS
BARE SOIL
HETEROGENEITY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In a city located in a desert environment (Tulum Valley, Argentina) we proposed to assess in the coldest and warmest periods (1) the urban cold/heat island (UCI/UHI) phenomenon; 2) which driving factors currently affect the Land Surface Temperature (LST). In the study area, we selected 50 points for the urban class and 49 points for the rural class. The LST data was obtained from Landsat 5 TM y Landsat 8 OLI/TIRS, for 1988, 2000, 2010, and 2021 years. As driver factors, we assessed the median (med) and standard deviation (sd) of NDVI (Normalized Difference Vegetation Index), NDBI (Normalized Differences Built-up Index), and BI (Brightness Index). The Tulum Valley behaved like a UCI during almost all studied years, except for 2010 and 2021. Probably because the city was undergoing reconstruction after a major earthquake. In the urban class, the LST were affected positively by NDVImed during the cold period, while in the rural class the LST were explained by a negative relationship with NDVImed, and positive with NDBImed. In the urban class during the warm periods, the LST were affected negatively by BIsd, BImed, NDVImed, and NDVIsd, which leads to a decrease in LST. Contrarily, an increase of NDBIsd produces an increment of LST. The only driver for LST in the rural class was NDBImed, which had a positive effect. Different drivers affected the LST behavior in Tulum Valley, moreover, these drivers explained more variability in rural than in urban class.
Fil: Campos, Valeria Evelin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina
Fil: Gatica, Gabriel. Instituto Nacional de Tecnología Agropecuaria; Argentina
Fil: Andino, Natalia del Pilar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Centro de Investigaciones de la Geosfera y Biosfera. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Centro de Investigaciones de la Geosfera y Biosfera; Argentina
Fil: Fernandez Viviana. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Departamento de Biología; Argentina
Fil: Cardús Monserrat, Adriana Lorena. Universidad Nacional de San Juan; Argentina
description In a city located in a desert environment (Tulum Valley, Argentina) we proposed to assess in the coldest and warmest periods (1) the urban cold/heat island (UCI/UHI) phenomenon; 2) which driving factors currently affect the Land Surface Temperature (LST). In the study area, we selected 50 points for the urban class and 49 points for the rural class. The LST data was obtained from Landsat 5 TM y Landsat 8 OLI/TIRS, for 1988, 2000, 2010, and 2021 years. As driver factors, we assessed the median (med) and standard deviation (sd) of NDVI (Normalized Difference Vegetation Index), NDBI (Normalized Differences Built-up Index), and BI (Brightness Index). The Tulum Valley behaved like a UCI during almost all studied years, except for 2010 and 2021. Probably because the city was undergoing reconstruction after a major earthquake. In the urban class, the LST were affected positively by NDVImed during the cold period, while in the rural class the LST were explained by a negative relationship with NDVImed, and positive with NDBImed. In the urban class during the warm periods, the LST were affected negatively by BIsd, BImed, NDVImed, and NDVIsd, which leads to a decrease in LST. Contrarily, an increase of NDBIsd produces an increment of LST. The only driver for LST in the rural class was NDBImed, which had a positive effect. Different drivers affected the LST behavior in Tulum Valley, moreover, these drivers explained more variability in rural than in urban class.
publishDate 2023
dc.date.none.fl_str_mv 2023-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/232349
Campos, Valeria Evelin; Gatica, Gabriel; Andino, Natalia del Pilar; Fernandez Viviana; Cardús Monserrat, Adriana Lorena; Land surface temperature in an arid city: assessing spatio-temporal changes; Springer; Remote Sensing in Earth Systems Sciences; 6; 1-2; 5-2023; 90-104
2520-8195
CONICET Digital
CONICET
url http://hdl.handle.net/11336/232349
identifier_str_mv Campos, Valeria Evelin; Gatica, Gabriel; Andino, Natalia del Pilar; Fernandez Viviana; Cardús Monserrat, Adriana Lorena; Land surface temperature in an arid city: assessing spatio-temporal changes; Springer; Remote Sensing in Earth Systems Sciences; 6; 1-2; 5-2023; 90-104
2520-8195
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.researchsquare.com/article/rs-2284451/v1
info:eu-repo/semantics/altIdentifier/doi/10.21203/rs.3.rs-2284451/v1
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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