Exploring a minimal Convolutional Linear-Regression Model for Urban Land Surface Temperature estimation

Exploring a minimal Convolutional Linear-Regression Model for Urban Land Surface Temperature estimation

With rising urbanization and extreme heat events, effective monitoring of urban heat stress is essential. Satellite-derived land surface temperature (LST) is valuable for this task, but current technologies face a trade-off between spatial resolution and revisit frequency, leading to gaps in high re...

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Bibliographic Details
Main Authors: Matteo Piccardo, Emanuele Massaro, Luca Caporaso, Alessandro Cescatti, Grégory Duveiller
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Science of Remote Sensing
Subjects:
Landsat
MODIS
SEVIRI
LST downscaling
Convolutional Linear-Regression Model
LST daily profile
Online Access:http://www.sciencedirect.com/science/article/pii/S2666017225000409
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