Expanding Temporal Glacier Observations Through Machine Learning and Multispectral Imagery Datasets in the Canadian Arctic Archipelago: A Decadal Snowline Analysis (2013–2024)

Glaciers in the Canadian Arctic Archipelago (CAA) contribute significantly to sea-level rise, yet sparse in situ data limit regional climate assessments. This study presents the first decadal (2013–2024) satellite-derived time series of late-summer snowline altitude (SLA) for six CAA glaciers, utili...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Wai Yin (Wilson) Cheung, Laura Thomson
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-03-01
coleção:	Remote Sensing
Assuntos:	Canadian Arctic Archipelago snowline altitude multispectral remote sensing equilibrium-line altitude snow-covered area machine learning
Acesso em linha:	https://www.mdpi.com/2072-4292/18/6/864
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!