This readme file was generated on 19 May 2025 by Brandon A. Yokeley


# GENERAL INFORMATION

Title of Dataset: Arctic gully identification using high-resolution lidar

## Author/Principal Investigator Information
Name: Brandon Yokeley
ORCID: https://orcid.org/0009-0004-4167-1895
Institution: Idaho State University
Address: 
Email: brandonyokeley@isu.edu

## Author/Associate or Co-investigator Information
Name: Sarah Godsey
ORCID: https://orcid.org/0000-0001-6529-7886
Institution: Idaho State University
Address: 
Email: godsey@isu.edu


## Date of data collection: May 2023 - August 2024 
## Geographic location of data collection: Area surrounding Toolik Field Station in Alaska, USA (149.381° W 68.617° N) 
## Information about funding sources that supported the collection of the data: Funding was provided by the National Science Foundation (EAR-2102338, EAR-2235308, EAR-2102342, and EAR-1653998)


# SHARING/ACCESS INFORMATION

Additional sources for base data:
NEON Lidar - https://data.neonscience.org/data-products/DP3.30024.001
Surfacial Geology Map - https://dggs.alaska.gov/pubs/id/7191

Recommended citation for this dataset: 
Yokeley, B., S. Godsey, S. G. Evans, B. Crosby (2025). Arctic gully identification using high-resolution lidar, HydroShare, http://www.hydroshare.org/resource/147ef57d52184692af86a4e11986a4bb


# DATA & FILE OVERVIEW

## File List:
data_folder - contains all the necassary data to run our gully identification model 
data_folder/auxShapeFiles - Contains the auxillary shapefiles needed to run the model, including: the generalized surfical map, field observations, figure extents (Fig. 4 and Fig 6), the pipeline shapefile, the Dalton highway shapefile, the buffered human infrastructure, the lidar bounds, and the generalized surfical geology data
data_folder/figureFolder - a blank folder for storing figures if needed
data_folder/processedNetworks - the outputed water track (wt), gully (tg) and hillslope (hs) networks from our selected model
data_folder/stream_network - contains the final stream network generated from the base DTM
data_folder/pythonScripts - contains all the necassary python scripts to repeate this study


# METHODOLOGICAL INFORMATION

## Description of methods used for collection/generation of data: This paper is currently under review at JGR Earth Surfaces, but is titled "Abundance and topographic characteristics of gullies and water tracks in the upland Arctic using a novel automated identification method"


## Methods for processing the data: 
*describe how the submitted data were generated from the raw or collected data*

## Instrument- or software-specific information needed to interpret the data: 
Python 3.9 - Packages include: Numpy, SciPy, Seaborn, Matplotlib, GDAL, OGR, Pandas, GeoPandas, WhiteBoxTools (https://www.whiteboxgeo.com/), Datetime, RasterIO, Random, bs4 (https://pypi.org/project/beautifulsoup4/), and rasterstats
QGIS 3.40 or ArcGIS Pro 3.X