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Title: Brief communication: Rapid machine-learning-based extraction and measurement of ice wedge polygons in high-resolution digital elevation models

Journal Article · · The Cryosphere (Online)

We introduce a workflow for the rapid delineation and microtopographic characterization of ice wedge polygons within high-resolution digital elevation models. At the core of the workflow is a convolutional neural network utilized to detect pixels representing polygon boundaries. A watershed transformation is subsequently used to segment imagery into discrete polygons. Fast training times (<5 min) permit an iterative approach to improving skill as the routine is applied across broad landscapes. Results from study sites near Utqiagvik (formerly Barrow) and Prudhoe Bay, Alaska, demonstrate robus tperformance in diverse tundra settings, with manual validations demonstrating 70–96% accuracy by area at the kilometer scale. The methodology permits precise, spatially extensive measurements of polygonal microtopography and trough network geometry.

Research Organization:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC). Biological and Environmental Research (BER) (SC-23)
Grant/Contract Number:
89233218CNA000001
OSTI ID:
1544726
Report Number(s):
LA-UR--18-29238
Journal Information:
The Cryosphere (Online), Journal Name: The Cryosphere (Online) Journal Issue: 1 Vol. 13; ISSN 1994-0424
Publisher:
European Geosciences UnionCopyright Statement
Country of Publication:
United States
Language:
English

References (20)

Evaluation of the use of very high resolution aerial imagery for accurate ice-wedge polygon mapping (Adventdalen, Svalbard) journal February 2018
Pan-Arctic ice-wedge degradation in warming permafrost and its influence on tundra hydrology journal March 2016
Identifying multiscale zonation and assessing the relative importance of polygon geomorphology on carbon fluxes in an Arctic tundra ecosystem: ZONATION APPROACH IN AN ARCTIC ECOSYSTEM journal April 2015
Role of ground ice dynamics and ecological feedbacks in recent ice wedge degradation and stabilization journal November 2015
Polygon pattern geomorphometry on Svalbard (Norway) and western Utopia Planitia (Mars) using high-resolution stereo remote-sensing data journal November 2011
Thermal contraction crack polygons on Mars: A synthesis from HiRISE, Phoenix, and terrestrial analog studies journal March 2010
Polygonal terrains on Mars: A contribution to their geometric and topological characterization journal December 2008
Evaluation of the use of very high resolution aerial imagery for accurate ice-wedge polygon mapping (Adventdalen, Svalbard) journal February 2018
Abrupt increase in permafrost degradation in Arctic Alaska journal January 2006
Pan-Arctic ice-wedge degradation in warming permafrost and its influence on tundra hydrology journal March 2016
Tundra landform and vegetation productivity trend maps for the Arctic Coastal Plain of northern Alaska journal April 2018
Ground-Ice Wedges: The Dominant Form of Ground-Ice on the North Coast of Alaska journal October 1915
Mask R-CNN conference October 2017
Cumulative geoecological effects of 62 years of infrastructure and climate change in ice-rich permafrost landscapes, Prudhoe Bay Oilfield, Alaska journal February 2014
Polygonal tundra geomorphological change in response to warming alters future CO 2 and CH 4 flux on the Barrow Peninsula journal November 2014
UFCN: a fully convolutional neural network for road extraction in RGB imagery acquired by remote sensing from an unmanned aerial vehicle journal January 2018
Tundra landform and vegetation productivity trend maps for the Arctic Coastal Plain of northern Alaska text January 2020
Road Extraction from High-Resolution Remote Sensing Imagery Using Deep Learning journal September 2018
Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in Very High Spatial Resolution Aerial Imagery journal September 2018
Digital Elevation Model, 0.5 m, Barrow Environmental Observatory, Alaska, 2012
  • Wilson, Cathy; Gangodagamage, Chandana; Rowland, Joel
  • Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); NGEE Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States) https://doi.org/10.5440/1109234
dataset January 2013

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