Challenges In Comparing National Forest Statistics - Canada As A Case Study
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πŸ“‘ https://pubs.cif-ifc.org/doi/abs/10.5558/tfc2026-006 <-- shared paper
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H/T Michael Wulder |Senior Research Scientist at Natural Resources Canada
β€œCanada is a forest nation. Its forests are spatially extensive, ecologically diverse, and of global importance. While national level forest statistics are used for international reporting and comparison, they often fail to reflect the distinctive structure and stewardship context of Canada’s forest estate, which includes millions of hectares of remote, unmanaged forests alongside actively managed zones governed by provincial and territorial stewardship frameworks...”
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#forest #Canada #national #geostatistics #forestestate #remote #unmanaged #contrast #managed #harvesting #naturalresources #resource #spatialanalysis #spatiotemporal #GIS #spatial #mapping #assessment #value #metrics #stewardship #management #monitoring #statistics #health #foresthealth #science
#NRCAN #NRCANScience #NaturalResourcesCanada
Adaptive Thresholding (AT) For Snowmelt Detection With Calibrated Enhanced-Resolution Brightness Temperatures (CETB) - Timing And Regional Patterns For Case Study Of Alaska
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https://doi.org/10.1016/j.srs.2026.100390 <-- shared paper
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β€œHIGHLIGHTS:
β€’ Data-driven Adaptive Thresholding (AT) for snowmelt detection using PMW CETB data.
β€’ AT improves melt detection accuracy to ≀ 1.0 day MAE over legacy methods in Alaska.
β€’ AT captures spatial and regional melt variability linked to snow class and terrain.
β€’ AT is sensor-agnostic, scalable across frequencies and polarizations for broad use..."
#snowmelt #winter #snow #spatialanalysis #GIS #spatial #mapping #spatiotemporal #water #waterresources #hydrology #spatialdata #AdaptiveThresholding #Passivemicrowave #remotesensing #EnhancedResolutionData #Snowmeltdetection #DiurnalAmplitudeVariation #US #USA #Alaska #geostatistics #melt #melting #monitoring #regional