Spatio-Temporal Behavior of Land Surface Temperatures (LSTs) in Central Chile, Using Terra MODIS Images

Author:

Muñoz-Aguayo Pedro1ORCID,Morales-Salinas Luis2ORCID,Pizarro Roberto345,Ibáñez Alfredo34,Sangüesa Claudia34ORCID,Fuentes-Jaque Guillermo2ORCID,Toledo Cristóbal3,Garcia-Chevesich Pablo A.67ORCID

Affiliation:

1. Centro de Información de Recursos Naturales (CIREN), Av. Manuel Montt 1164, Santiago 7501556, Chile

2. Laboratory for Research in Environmental Sciences (LARES), Faculty of Agricultural Sciences, University of Chile, Av. Santa Rosa, 11315, P.O. Box 1024, Santiago 8820808, Chile

3. United Nations Educational, Scientific and Cultural Organization (UNESCO), University of Talca, Talca 3467769, Chile

4. Centro Nacional de Excelencia Para la Industria de la Madera (CENAMAD), Pontificia Universidad Católica de Chile, Santiago 7810128, Chile

5. Dirección de Innovación, Universidad de Talca, Talca 3467769, Chile

6. Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, CO 80401, USA

7. Intergovernmental Hydrological Programme, United Nations Educational, Scientific and Cultural Organization (UNESCO), Montevideo 11200, Uruguay

Abstract

Land surface temperature (LST) is one of the most important variables in the physical processes of surface energy and water balance. The temporal behavior of LST was analyzed between the latitudes 32°00′ S and 34°24′ S (Valparaíso and Metropolitana regions of Chile) for three summer months (December, January, and February) in the 2000–2017 period, using the Terra MODIS image information and applying the Mann–Kendall test. The results show an increase in LST in the study area, particularly in the Andes mountain range in January (5240 km2), which mainly comprises areas devoid of vegetation and eternal snow and glaciers, and are zones that act as water reserves for the capital city of Santiago. Similarly, vegetated areas such as forests, grasslands, and shrublands also show increasing trends in LST but over smaller surfaces. Because this study is regional, it is recommended to improve the spatial and temporal resolutions of the images to obtain conclusions on more local scales.

Publisher

MDPI AG

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