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

• 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
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs14010162

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.