Revealing causes of a surprising correlation: snow water equivalent and spatial statistics from Calibrated Enhanced-Resolution Brightness Temperatures (CETB) using interpretable machine learning and SHAP analysis

Seasonal snowpack is a crucial water resource, making accurate Snow Water Equivalent (SWE) estimation essential for water management and environmental assessment. This study introduces a novel approach to Passive Microwave (PMW) SWE estimation, leveraging the strong, unexpected correlation between S...

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Principais autores:	Mahboubeh Boueshagh, Joan M. Ramage, Mary J. Brodzik, David G. Long, Molly Hardman, Hans-Peter Marshall
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2025-03-01
coleção:	Frontiers in Remote Sensing
Assuntos:	snow water equivalent (SWE) passive microwave remote sensing machine learning enhanced-resolution data spatial standard deviation SHapley additive exPlanation (SHAP)
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/frsen.2025.1554084/full
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