Informing snow measurement site selection with remote sensing and local ecological knowledge: A case study in Oregon

Key Points

• Improved snow measurement site selection enhances data accuracy and availability, benefiting climate studies and resource management.
• The integration of remote sensing data and local ecological knowledge led to significant advancements in identifying suitable sites for snow measurement.
• Observational analysis based on diverse ecological inputs identified optimal locations for snow measurement across different landscapes in Oregon.
• Findings suggest substantial potential for increased precision in environmental monitoring through collaboration of technology and local expertise.