On demand machine learning-driven surface freeze-thaw retrieval across Canadian agricultural regions using Sentinel-1 SAR data

This study explores the prediction of freeze-thaw (FT) states across agricultural fields in four Canadian provinces-Alberta, Manitoba, Saskatchewan, and Québec-using Random Forest classification and regression models. Soil temperature data at a 5 cm depth were gathered from 174 agricultural weather...

Cijeli opis

Bibliografski detalji

Glavni autori:	Shahabeddin Taghipourjavi, Christophe Kinnard, Alexandre Roy
Format:	Artigo
Jezik:	Inglês
Izdano:	Frontiers Media S.A. 2026-01-01
Serija:	Frontiers in Remote Sensing
Teme:	Sentinel-1 SAR VH backscatter Soil freezing binary and probability Random forest models Exponential freeze-thaw algorithm (EFTA) Interactive online FT detection tool Canadian agricultural fields
Online pristup:	https://www.frontiersin.org/articles/10.3389/frsen.2025.1728399/full
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!