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

Aguilar-Lome, Jaime Espinoza-Villar, Raul Espinoza, Jhan-Carlo Rojas-Acuna, Joel Leo Willems, Bram Leyva-Molina, Walter-Martin

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

Aguilar-Lome, Jaime 1Espinoza-Villar, Raul 1Espinoza, Jhan-Carlo 2Rojas-Acuna, Joel 1Leo Willems, Bram 3Leyva-Molina, Walter-Martin1
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作者信息

  • 1. Univ Nacl Mayor San Marcos, Fac Ciencias Fic, Lab Teledetecc, Lima, Peru
  • 2. IGP, Lima, Peru
  • 3. CCA, Lima, Peru
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Abstract

In this study, we report on the assessment of elevation-dependent warming processes in the Andean region between 7 degrees S and 20 degrees 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 degrees 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 degrees C/decade at 1000-1500 masl, and 1.7 degrees 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.

Key words

Tropical Andes/Land surface warming/Remote sensing/High mountains

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出版年

2019
International journal of applied earth observation and geoinformation

International journal of applied earth observation and geoinformation

SCI
ISSN:0303-2434
被引量31
参考文献量87
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