Protocols

Random Forest regression to predict ecosystem drought sensitivity from hydrological and topographic variables. Uses bootstrapped subsampling with multiple regression trees to identify key predictive v...

Harmonized Landsat 8 and Sentinel-2 imagery processed through continental-scale algorithms to create vegetation index time series and estimate phenophase transition timing at 30 m resolution.

Comprehensive approach calculating potential evapotranspiration using three established methods (Thornthwaite, Hargreaves, Penman-Monteith) and actual evapotranspiration using the Budyko model. Provid...

Used Community Land Model to simulate evapotranspiration components at high spatiotemporal resolution over a mountainous watershed with detailed soil layering and vegetation parameterization. Model se...

A novel approach combining LSTM neural networks with process-based ecological understanding to predict evapotranspiration and ecosystem respiration. The method integrates temporal pattern recognition ...

Processing of Landsat NDVI time series to quantify foresummer drought sensitivity as the slope of peak NDVI versus June Palmer Drought Severity Index. Represents plant productivity responses to early ...

Applies multiple clustering algorithms (K-means, hierarchical clustering, Gaussian mixture models) to hillslope feature vectors to identify watershed zones with similar characteristics. Uses model sel...

Standardized eddy covariance measurements of carbon dioxide, water vapor, and energy fluxes between ecosystems and atmosphere. Continuous automated measurements providing ground truth data for model t...

Numerical solution of the one-dimensional Richards equation using PFLOTRAN software to simulate soil water flow and generate synthetic soil moisture data for method testing.

Data acquired using a Riegl Q1560 dual-channel LiDAR system mounted on a Piper Navajo aircraft. Survey complied with USGS QL1 standard with point density more than 8 pulses per m2.

Time-lapse photography using Moultrie M40 cameras mounted at 45° angle to capture plot-level vegetation greenness and calculate Green Chromatic Coordinate values for phenology analysis.

Deriving individual-scale species data from co-acquired imaging spectrometry data.

National Ecological Observatory Network Airborne Observation Platform flights acquiring LiDAR, imaging spectroscopy, and high-resolution camera imagery.

Derivation of hydraulic permeability and porosity from ERT data through petrophysical relationships for model parameterization.

Processing waveform LiDAR data using Optech LMS software and custom IDL waveform processor to synchronize GPS time tags and geolocate waveforms.

Inversion of AEM data to produce regional cross-sections constraining electrical properties of subsurface to ~500m depth. Creates resistivity and IP models.

Field observations of vegetation samples collected using tablet computers and digital forms targeting different vegetation types.