Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.3390/ijgi15080359 |
Licence  |
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| Title (Primary) | Temporally weighted land surface temperature: from multiyear observations to a target-year-referenced thermal surface |
| Author | Qin, J.; Wang, Q.; Dong, X.; Wu, S.; Lausch, A.
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| Source Titel | ISPRS International Journal of Geo-Information |
| Year | 2026 |
| Department | CLE |
| Volume | 15 |
| Issue | 8 |
| Page From | art. 359 |
| Language | englisch |
| Topic | T5 Future Landscapes |
| Keywords | thermal remote sensing; land surface temperature; temporal aggregation; urban thermal environment |
| Abstract | Accurate characterization of land
surface temperature (LST) is essential for urban thermal environment
analysis. However, commonly used LST representations have their inherent
limitations. For example, single-year LST may be influenced by
year-specific anomalies, whereas multiyear means may obscure recent
changes. Neither representation addresses how relevance to the target
year and persistent historical information can be balanced within a
single spatial LST surface. This study therefore proposes a temporally
weighted land surface temperature (TWLST) method, which uses temporal
decay weights and a half-life parameter to achieve the above balance and
produce a continuous LST surface for spatial analysis. The framework
was applied at regional and city scales in the Beijing–Tianjin–Hebei
region and Beijing city, respectively, to examine its applicability.
Spatial overlap between TWLST high-temperature (HT) areas and reference
LST HT areas ranged from 0.577 to 0.733 and from 0.666 to 0.863 in the
two applications. Historical annual LST anomalies were higher in
TWLST-specific HT areas than in target-year-specific HT areas, with
median paired differences of 1.16 °C and 2.49 °C, respectively. These
results indicated that TWLST preferentially identified persistently warm
locations while preserving major high-temperature patterns. The
modeling and interpretation analyses further indicated that changes in
LST representation could influence model performance and the relative
importance of explanatory variables. |
| Qin, J., Wang, Q., Dong, X., Wu, S., Lausch, A. (2026): Temporally weighted land surface temperature: from multiyear observations to a target-year-referenced thermal surface ISPRS Int. J. Geo-Inf. 15 (8), art. 359 10.3390/ijgi15080359 |
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