Observations and Machine-Learned Models of Near-Surface Permafrost along the Koyukuk River, Alaska, USA
- Los Alamos National Laboratory; Los Alamos National Laboratory
- Pennsylvania State University
- Los Alamos National Laboratory
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 floodplain that may be useful for building, testing, or validating other machine-learned permafrost models. Permafrost data are provided as georasters of the same shape and geovectors (polylines/polygons) and are all projected into EPSG:32605. All data can be visualized with a GIS (QGIS, ArcGIS, etc.).
- Research Organization:
- Environmental System Science Data Infrastructure for a Virtual Ecosystem
- Sponsoring Organization:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER); U.S. DOE > Laboratory Directed Research and Development (LDRD) > Los Alamos National Laboratory
- OSTI ID:
- 1922517
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
54 ENVIRONMENTAL SCIENCES
EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND USE/LAND COVER CLASSIFICATION > VEGETATION INDEX > NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI)
floodplains
machine learning
multispectral image
permafrost
permafrost presence
riverbank erosion
surface water
training data
EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND USE/LAND COVER CLASSIFICATION > VEGETATION INDEX > NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI)
floodplains
machine learning
multispectral image
permafrost
permafrost presence
riverbank erosion
surface water
training data