Elevation-dependent warming of land surface temperatures in the Andes assessed using MODIS LST time series (2000–2017)

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In this study, we report on the assessment of elevation-dependent warming processes in the Andean region between 7 °S and 20 °S, using Land Surface Temperature (LST). Remotely sensed LST data were obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) sensor in an 8-day composite, at a...

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Detalles Bibliográficos
Autores: Aguilar-Lome, Jaime, Espinoza-Villar, Raúl, Espinoza, Jhan-Carlo, Rojas-Acuña, Joel, Leo Willems, Bram, Leyva-Molina, Walter-Martín
Formato: artículo
Fecha de Publicación:2019
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:UNMSM-Tesis
Lenguaje:inglés
OAI Identifier:oai:cybertesis.unmsm.edu.pe:20.500.12672/27388
Enlace del recurso:https://hdl.handle.net/20.500.12672/27388
https://doi.org/10.1016/j.jag.2018.12.013
Nivel de acceso:acceso abierto
Materia:Andes tropicales
Calentamiento global
Teledetección
https://purl.org/pe-repo/ocde/ford#1.05.04
https://purl.org/pe-repo/ocde/ford#1.05.08
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dc.title.none.fl_str_mv Elevation-dependent warming of land surface temperatures in the Andes assessed using MODIS LST time series (2000–2017)
title Elevation-dependent warming of land surface temperatures in the Andes assessed using MODIS LST time series (2000–2017)
spellingShingle Elevation-dependent warming of land surface temperatures in the Andes assessed using MODIS LST time series (2000–2017)
Aguilar-Lome, Jaime
Andes tropicales
Calentamiento global
Teledetección
https://purl.org/pe-repo/ocde/ford#1.05.04
https://purl.org/pe-repo/ocde/ford#1.05.08
title_short Elevation-dependent warming of land surface temperatures in the Andes assessed using MODIS LST time series (2000–2017)
title_full Elevation-dependent warming of land surface temperatures in the Andes assessed using MODIS LST time series (2000–2017)
title_fullStr Elevation-dependent warming of land surface temperatures in the Andes assessed using MODIS LST time series (2000–2017)
title_full_unstemmed Elevation-dependent warming of land surface temperatures in the Andes assessed using MODIS LST time series (2000–2017)
title_sort Elevation-dependent warming of land surface temperatures in the Andes assessed using MODIS LST time series (2000–2017)
author Aguilar-Lome, Jaime
author_facet Aguilar-Lome, Jaime
Espinoza-Villar, Raúl
Espinoza, Jhan-Carlo
Rojas-Acuña, Joel
Leo Willems, Bram
Leyva-Molina, Walter-Martín
author_role author
author2 Espinoza-Villar, Raúl
Espinoza, Jhan-Carlo
Rojas-Acuña, Joel
Leo Willems, Bram
Leyva-Molina, Walter-Martín
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Aguilar-Lome, Jaime
Espinoza-Villar, Raúl
Espinoza, Jhan-Carlo
Rojas-Acuña, Joel
Leo Willems, Bram
Leyva-Molina, Walter-Martín
dc.subject.none.fl_str_mv Andes tropicales
Calentamiento global
Teledetección
topic Andes tropicales
Calentamiento global
Teledetección
https://purl.org/pe-repo/ocde/ford#1.05.04
https://purl.org/pe-repo/ocde/ford#1.05.08
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.05.04
https://purl.org/pe-repo/ocde/ford#1.05.08
description In this study, we report on the assessment of elevation-dependent warming processes in the Andean region between 7 °S and 20 °S, using Land Surface Temperature (LST). Remotely sensed LST data were obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) sensor in an 8-day composite, at a 1 km resolution, and from 2000 to 2017 during austral winter (June-July-August, JJA). We analysed the relation between mean monthly daytime LST and mean monthly maximum air temperature. This relation is analysed for different types of coverage, obtaining a significant correlation that varies from 0.57 to 0.82 (p < 0.01). However, effects of change in land cover were ruled out by a previous comparative assessment of trends in daytime LST and normalized difference vegetation index (NDVI). The distribution of the winter daytime LST trend was found to be increasing in most areas, while decreasing in only a few areas. This trend shows that winter daytime LST is increasing at an average rate of 1.0 °C/decade. We also found that the winter daytime LST trend has a clear dependence on elevation, with strongest warming effects at higher elevations: 0.50 °C/decade at 1000–1500 masl, and 1.7 °C/decade above 5000 masl. However, the winter nighttime LST trend shows a steady increase with altitude increase. The dependence of rising temperature trends on elevation could have severe implications for water resources and high Andean ecosystems.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2025-09-16T17:01:31Z
dc.date.available.none.fl_str_mv 2025-09-16T17:01:31Z
dc.date.issued.fl_str_mv 2019-01-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.none.fl_str_mv Aguilar-Lome, J., Espinoza-Villar, R., Espinoza, J.-C., Rojas-Acuña, J., Willems, B. L., & Leyva-Molina, W.-M. (2019). Elevation-dependent warming of land surface temperatures in the Andes assessed using MODIS LST time series (2000–2017). International Journal of Applied Earth Observation and Geoinformation, 77, 119-128. https://doi.org/10.1016/j.jag.2018.12.013
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12672/27388
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.jag.2018.12.013
identifier_str_mv Aguilar-Lome, J., Espinoza-Villar, R., Espinoza, J.-C., Rojas-Acuña, J., Willems, B. L., & Leyva-Molina, W.-M. (2019). Elevation-dependent warming of land surface temperatures in the Andes assessed using MODIS LST time series (2000–2017). International Journal of Applied Earth Observation and Geoinformation, 77, 119-128. https://doi.org/10.1016/j.jag.2018.12.013
url https://hdl.handle.net/20.500.12672/27388
https://doi.org/10.1016/j.jag.2018.12.013
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartofseries.none.fl_str_mv Vol. 77
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv International Journal of Applied Earth Observation and Geoinformation
publisher.none.fl_str_mv International Journal of Applied Earth Observation and Geoinformation
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spelling Aguilar-Lome, JaimeEspinoza-Villar, RaúlEspinoza, Jhan-CarloRojas-Acuña, JoelLeo Willems, BramLeyva-Molina, Walter-Martín2025-09-16T17:01:31Z2025-09-16T17:01:31Z2019-01-12Aguilar-Lome, J., Espinoza-Villar, R., Espinoza, J.-C., Rojas-Acuña, J., Willems, B. L., & Leyva-Molina, W.-M. (2019). Elevation-dependent warming of land surface temperatures in the Andes assessed using MODIS LST time series (2000–2017). International Journal of Applied Earth Observation and Geoinformation, 77, 119-128. https://doi.org/10.1016/j.jag.2018.12.013https://hdl.handle.net/20.500.12672/27388https://doi.org/10.1016/j.jag.2018.12.013In this study, we report on the assessment of elevation-dependent warming processes in the Andean region between 7 °S and 20 °S, using Land Surface Temperature (LST). Remotely sensed LST data were obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) sensor in an 8-day composite, at a 1 km resolution, and from 2000 to 2017 during austral winter (June-July-August, JJA). We analysed the relation between mean monthly daytime LST and mean monthly maximum air temperature. This relation is analysed for different types of coverage, obtaining a significant correlation that varies from 0.57 to 0.82 (p < 0.01). However, effects of change in land cover were ruled out by a previous comparative assessment of trends in daytime LST and normalized difference vegetation index (NDVI). The distribution of the winter daytime LST trend was found to be increasing in most areas, while decreasing in only a few areas. This trend shows that winter daytime LST is increasing at an average rate of 1.0 °C/decade. We also found that the winter daytime LST trend has a clear dependence on elevation, with strongest warming effects at higher elevations: 0.50 °C/decade at 1000–1500 masl, and 1.7 °C/decade above 5000 masl. However, the winter nighttime LST trend shows a steady increase with altitude increase. The dependence of rising temperature trends on elevation could have severe implications for water resources and high Andean ecosystems.Perú. Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica (FONDECYT). 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