Observations and Machine-Learned Models of Near-Surface Permafrost along the Koyukuk River, Alaska, USA ...

This dataset contains GeoTIFs (raster) and GeoPackages (vector) that map observations of near-surface permafrost and not-permafrost from a field campaign conducted near the village of Huslia, AK along the Koyukuk River and its floodplain in July 2018. These data were collected as part of a campaign...

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Bibliographic Details
Main Authors: Schwenk, Jon, Piliouras, Anastasia, Rowland, Joel
Format: Dataset
Language:English
Published: Environmental System Science Data Infrastructure for a Virtual Ecosystem 2023
Subjects:
54 ENVIRONMENTAL SCIENCES
permafrost
floodplains
riverbank erosion
machine learning
training data
permafrost presence
multispectral image
surface water
EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND USE/LAND COVER CLASSIFICATION > VEGETATION INDEX > NORMALIZED DIFFERENCE VEGETATION INDEX NDVI
Huslia
Rowland
Ice
Tundra
wedge*
Alaska
Online Access:https://dx.doi.org/10.15485/1922517
https://www.osti.gov/servlets/purl/1922517/
Description
Summary:This dataset contains GeoTIFs (raster) and GeoPackages (vector) that map observations of near-surface permafrost and not-permafrost from a field campaign conducted near the village of Huslia, AK along the Koyukuk River and its floodplain in July 2018. These data were collected as part of a campaign to understand if and how permafrost impacts riverbank erosion. This problem cannot be assessed without knowing where permafrost exists. Permafrost was observed via frost probing (to a maximum depth of one meter), coring (to a maximum depth of two meters) and bank/bar excavations. An additional boat survey was performed wherein expert (Joel Rowland) judgment assessed the presence or absence of distinctive permafrost features (e.g., overhanging tundra mats, thermoerosional niching, ice wedges, active drainage of ice melt from soils). This dataset also contains the input features and results of two machine learning models (random forest and convolutional neural network) that extrapolate the observations to the full ...

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