Analysis of Near-Surface Temperature Lapse Rates in Mountain Ecosystems of Northern Mexico Using Landsat-8 Satellite Images and ECOSTRESS

Mountain ecosystems provide environmental goods, which can be threatened by climate change. Near-Surface Temperature Lapse Rate (NSTLR) is an essential factor used for thermal and hydrological analysis in mountain ecosystems. The aims of the present study were to estimate NSTLR and to identify its r...

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Published in:Remote sensing (Basel, Switzerland) Switzerland), 2022-01, Vol.14 (1), p.162
Main Authors: Rosas-Chavoya, Marcela, López-Serrano, Pablito Marcelo, Hernández-Díaz, José Ciro, Wehenkel, Christian, Vega-Nieva, Daniel José
Format: Article
Language:English
Subjects:
Climate change
ECOSTRESS
Ecosystems
evaporative stress index
evapotranspiration
Hydrological analysis
Hydrology
Land surface temperature
Landsat
Landsat satellites
Landsat-8
Lapse rate
Mountain ecosystems
Mountains
Precipitation
Radiation
Remote sensing
Satellite imagery
Seasons
Sensors
Solar position
Temperature
Topography
Variables
Vegetation
Water shortages
Water stress
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Summary:Mountain ecosystems provide environmental goods, which can be threatened by climate change. Near-Surface Temperature Lapse Rate (NSTLR) is an essential factor used for thermal and hydrological analysis in mountain ecosystems. The aims of the present study were to estimate NSTLR and to identify its relationship with aspect, Local solar zenith angle (LSZA) and Evaporative Stress Index (ESI) for two seasons of the year in a mountain ecosystem at the North of Mexico. Normalized Land Surface Temperature (NLST) was estimated using environmental and topographical variables. LSZA was calculated from slope to consider the effect of solar position. NSTLR was estimated through simple linear models. Observed NSTLR was 9.4 °C km−1 for the winter and 14.3 °C km−1 for the summer. Our results showed variation in NSTLR by season. In addition, aspect, LSZA and ESI also influenced NSTLR regulation. In addition, Northwest and West aspects exhibited the highest NSTLR. LSZA angles closest to 90° were related with a decrease in NSTLR for both seasons. Finally, ESI values associated with less evaporative stress were related to lower NSTLR. These results suggest potential of Landsat-8 LST and ECOSTRESS ESI to capture interactions of temperature, topography, and water stress in complex ecosystems.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs14010162