Protocols

Uses full-waveform LiDAR returns processed through adaptive deconvolution and individual tree detection algorithms to map forest structure metrics including tree density, height distributions, and bas...

Extraction of environmental variables from spatial data platform using zonal functions to calculate average climate values within tree polygon boundaries. Integrates snowpack, temperature, and topogra...

Time-series analysis of Landsat and Sentinel satellite imagery to determine seasonal snow disappearance dates using Normalized Difference Snow Index with interpolation algorithms to fill temporal gaps...

Calculation of cumulative growing degree days from weather station data using species-specific base temperatures, correlated with biological events through linear regression to assess temperature-depe...

Region-growing algorithm that iteratively incorporates LiDAR points into candidate tree canopies starting from seed locations identified as local height maxima with height-dependent neighborhoods.

Experimental transplantation of completed mason bee nests from low to high elevation sites to test effects of season length and climate on offspring development. Uses trap-nest monitoring followed by ...

A two-stage Bayesian hierarchical approach that identifies unique individuals across LiDAR scans by modeling observed locations as noisy transformations of latent true locations, then propagates linka...

High-resolution airborne hyperspectral and lidar data collection and analysis to classify land cover types and derive vegetation parameters for hydrologic modeling.

Machine learning approach using Random Forest algorithms to downscale coarse resolution climate data to higher spatial resolution using topographic predictors. Models are trained on relationships betw...

CNN training using image patches for pixel-based tree and shrub species classification at alpine treeline.

Statistical method used to fill missing data areas using relationships between 2018 and 2019 snow depths or snow depth to elevation relationships.

Calculation of Normalized Differential Vegetation Index from 4-band aerial imagery using (NIR-Red)/(NIR+Red) formula.

Creation of digital surface model from 2018 NEON Airborne Observation Platform dataset representing height above sea level for objects attached to the ground.

Flow lines derived in GRASS GIS using a single direction algorithm from hydrologically corrected digital elevation model to delineate watersheds draining at least 512000 square meters.

UAV flights using DJI Mavic 2 Pro collecting RGB images with 3cm ground sample distance. Images processed via Structure from Motion in Agisoft Metashape to create georeferenced orthomosaics.

Records the UTM Y Coordinate for every pixel using the WGS84 UTM Zone 13N Coordinate System (EPSG:32613).

High-density airborne LiDAR scans collected in August-September 2015 and 2019 to generate normalized point clouds.

Resampling of 0.6m resolution imagery to 1m grid resolution using bilinear interpolation.

Map generated with the cost distance GRASS GIS module (r.cost) using estimated travel speeds as the cost function.

Temperatures above 5°C summed only for days estimated to be free of snow to measure energy available for biological processes.