Progress & Accomplishments

Identifying polygonal ground in arctic regions using GLCM texture features for random forest classification

Image textural features and machine learning models can effectively identify broad regions of polygonal ground topography in the arctic using panchromatic imagery.

Metadata and NGEE Arctic Search Tool Metrics

View metrics about the NGEE Arctic metadata records and data downloads.

Katrina Bennett to assume Q5 co-leadership responsibilities

Opportunities emerge for leadership in the NGEE Arctic project and we welcome Katrina Bennett to her new co-lead responsibilities for permafrost hydrology.

Permafrost Thermal Conditions are Sensitive to Shifts in Snow Timing

Numerical experiment suggest that reliable projections of air temperature and total snowfall may not be sufficient to understand permafrost degradation.

Impact of Lateral Flow on the Water Status of Polygon Centers

Multi-year field observations improve process representation in polygon hydrology models.

Estimating Critical Permafrost Properties from Easily Observed Permafrost State Data

NGEE Arctic researchers use fusion of numerical models and data to estimate subsurface porosities of the polygonal tundra.

Arctic Sedge Play an Important Role in the Carbon Balance of Tundra Ecosystems

Research shows how individual species can disproportionately impact ecosystem carbon balance.

Ground-Based and UAV-Collected Snow Measurements Compared across a Watershed on the Seward Peninsula

Snow measurements collected with a UAV and ground-based data collection techniques show strong agreement.

Iron and Iron-Bound Phosphate Accumulate in Soils of Polygonal Tundra

Geochemical and spectroscopic characterization of active-layer soil indicate near-surface accumulation of iron oxides that sequester the nutrient phosphate.

ORNL’s Misha Krassovski Supports International MOSAiC Expedition

Seasoned by the NGEE Arctic project, scientist gets tapped for a new opportunity.