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Multi-model PlanetScope snow cover classification
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Description
Machine learning approach for snow cover mapping using PlanetScope imagery with multiple model configurations incorporating spectral, topographic, and vegetation variables. Performance evaluation across different forest canopy structures.
Typical Equipment
- PlanetScope satellite constellation
- Machine learning software
- Computing resources
- Statistical analysis software
Output Measurements
- F-score performance metrics
- Snow cover classifications
Papers Using This Protocol (3)
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Spatially distributed snow depth, bulk density, and snow water equivalent from ground-based and airborne sensor integration at Grand Mesa, Colorado, USA
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High-Resolution Snow-Covered Area Mapping in Forested Mountain Ecosystems Using PlanetScope Imagery
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