Knowledge graph centered on Multi-model PlanetScope snow cover classification with 71 nodes and 142 connections. Top connected: Delphinium, Spruce, snowpack persistence, snow water equivalent, elevation gradient.
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.
Synthesized from method descriptions across 2 papers using this protocol.
Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — Spatially distributed snow depth, bulk density, and snow water equivalent from ground-based and airborne sensor integration at Grand Mesa, Colorado, USA (2024), The Cryosphere. The protocol was originally introduced by High-Resolution Snow-Covered Area Mapping in Forested Mountain Ecosystems Using PlanetScope Imagery (2022), Remote Sensing. Implementations in other papers (listed below) may differ.