345 datasets found

2023 Updates to the National Incident Feature Service and Event Geodatabase For 2023, there are no schema updates and no major changes to GeoOps or the GISS Workflow! This is a...

The Wildland Fire Interagency Geospatial Services (WFIGS) Group provides authoritative geospatial data products under the interagency Wildland Fire Data Program. Hosted in the...

Water table depth estimates provided by a random forest model trained on historical USGS observations and Fan et al. 2013 water table depth dataset. This dataset includes long-...

This dataset provides a downscaled estimate of soil moisture current conditions onto the ParFlow-CONUS2 grid.

USGS Hydrologic unit codes have been mapped to the ParFlow-CONUS1 and ParFlow-CONUS2 grids. This mapping generally respects the boundaries provided in the USGS shape files...

The ParFlow-CONUS2 model is the second generation national ParFlow model. The ParFlow-CONUS2 domain covers the entire contiguous US and areas draining to it. The domain extent...

The ParFlow-CONUS1 model is the first generation national ParFlow model. You can learn more about the domain and the model on the HydroFrame website. The conus1_domain dataset...

As part of data infrastructure building by the Hydrology Team at the Center for Western Weather and Water Extremes (CW3E), a meteorological forcing engine is developed to...

The NLDAS2 forcing dataset at 1km resolution and a 1 hour time step. This dataset was used to force the conus1_baseline_85 simulation (https://hf-...

The NLDAS grid is a 1/8th degree grid that covers the entire contiguous US. This dataset contains the NLDAS2 forcing data at 1/8th degree resolution and a 1 hour time step. This...

Modeling the hydrologic cycle at high resolution and at large spatial scales is an incredible opportunity and challenge for hydrologists. This high-resolution hydrologic...

A simulation of water year 1985 completed with the ParFlow-CONUS1 model. This was the first transient simulation that was completed with the ParFlow-CONUS1 model. The simulation...

To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, photographs of the clip plots and macroplots...

Ignition tracking data collected with Garmin GPS and Go Pro recorders for prescribed fire research. Ignitions for the Ft. Stewart 2024 prescribed burns were completed primarily...

A network of a dozen sonic anemometers measured the near-surface winds and temperatures surrounding the burn zone. Three SODARs (Sonic Detection and Ranging) profiled the plume...

To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, transects were utilized to sample overstory,...

This data product contains point cloud data collected with a terrestrial laser scanner (TLS) at the Macon Study of Dormant Season Prescribed Fire burn units within Osceola...

To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, Leica BLK360 G1 terrestrial LiDAR scans were...

To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, transects were utilized to sample coarse...

This dataset provides the macroplot geographical location data where Leica BLK360 G1 terrestrial LiDAR scans, destructive clip plots, photographs, transects, radiometers, and...