.png){kind=icon}
.png){kind=icon}
Return
Characterizing the Mismatch Between ECOSTRESS-Derived Land Surface Temperature and ENVI-Met-Simulated UTCI Across Local Climate Zones
.png){kind=icon}
OA
AI
J
Y
Z
DOI：10.3390/rs18162712.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Satellite-derived land surface temperature (LST) is widely used for urban heat assessment, but its correspondence with pedestrian exposure is uncertain. We compared ECOSTRESS-derived LST with ENVI-met-simulated Universal Thermal Climate Index (UTCI), treated as a model-based heat-exposure indicator, across 24 Seoul Local Climate Zone plots. One ECOSTRESS scene acquired five days before the ENVI-met simulation served as the primary near-date, hour-matched comparison under comparable meteorological conditions rather than a simultaneous field observation; four scenes from 2021–2025 were treated as separate cross-date sensitivity observations. A source audit retained 118 of 120 plot × scene records. The primary association was weak (r = 0.199, p = 0.351, R2 = 0.040, n = 24). The unadjusted pooled benchmark explained 6.1% of UTCI variance, whereas the scene-adjusted LST slope was 0.060 °C UTCI per °C LST (plot-cluster-robust 95% CI −0.075 to 0.195; p = 0.371). Because only two plots represented each LCZ, leave-one-plot-out and stratified bootstrap results were interpreted only as discrete perturbation diagnostics. ECOSTRESS LST therefore did not demonstrate stable proxy performance for simulated pedestrian heat exposure under this design. CPE is retained as a conceptual organizing heuristic, not a validated classifier or transferable LCZ ranking.
Keywords:
land surface temperature
universal thermal climate index
simulated pedestrian heat exposure
conditional proxy efficacy
local climate zone
ENVI-met
ECOSTRESS
Seoul
remote sensing
Journal
IF:
4.1
Papers:
6.5K
Citations:
15.1W
Organization
Cited Papers