Assessing Optical, SAR, and Topographic Synergy for LULC Mapping in Cloud-Prone Mountain Environments Using a Systematic Ablation Design

Accurate Land Use and Land Cover (LULC) mapping in high-latitude mountain regions faces critical challenges from persistent cloud cover and complex topography, which limit the utility of passive optical sensors. To address the absence of evidence-based guidelines for these data-scarce environments,...

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Hauptverfasser:	Karen Escalona, Johnny Valencia-Calvo, Gerard Olivar-Tost, Valentín Alexis Solís Olave
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-05-01
Schriftenreihe:	Geomatics
Schlagworte:	cloud computing google earth engine Sentinel-1/Sentinel-2 fusion random forest intra-seasonal phenology persistent cloud cover
Online-Zugang:	https://www.mdpi.com/2673-7418/6/3/45
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