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These data are a product of a multi-year effort by the FHTET (Forest Health Technology Enterprise Team) Remote Sensing Program to develop raster datasets of forest parameters for each of the tree...
Search relevance: 1.00 | Views last month: 18 | Catalog Last Checked: May 05, 2026 at 11:49 PM -
A multiple machine-learning model (Asquith and Killian, 2024) implementing Cubist and Random Forest regressions was used to predict monthly mean groundwater levels through time for the available...
Search relevance: 1.00 | Views last month: 8 | Catalog Last Checked: May 05, 2026 at 10:13 PM -
Basal Area (BA). 30 meter pixel resolution. Data represents forest conditions circa 2002.These data are a product of a multi-year effort by the FHTET (Forest Health Technology Enterprise Team)...
Search relevance: 1.00 | Views last month: 4 | Catalog Last Checked: May 05, 2026 at 11:49 PM -
Results of predicted groundwater levels and related spatial diagnostics, produced by an applied prediction-modeling statistical-research workflow, are provided as multi-banded GeoTIFF rasters for...
Search relevance: 1.00 | Views last month: 0 | Catalog Last Checked: May 05, 2026 at 08:46 PM -
Results of predicted groundwater levels and related spatial diagnostics, produced by an applied prediction-modeling statistical-research workflow, are provided as multi-banded GeoTIFF rasters for...
Search relevance: 1.00 | Views last month: 0 | Catalog Last Checked: May 05, 2026 at 08:45 PM
