Use of Very High Spatial Resolution Commercial Satellite Imagery and Deep Learning to Automatically Map Ice-Wedge Polygons across Tundra Vegetation Types [PDF]
We developed a high-throughput mapping workflow, which centers on deep learning (DL) convolutional neural network (CNN) algorithms on high-performance distributed computing resources, to automatically characterize ice-wedge polygons (IWPs) from sub-meter
Md Abul Ehsan Bhuiyan +2 more
doaj +4 more sources
The microtopography associated with ice-wedge polygons governs many aspects of Arctic ecosystem, permafrost, and hydrologic dynamics from local to regional scales owing to the linkages between microtopography and the flow and storage of water, vegetation
Weixing Zhang +3 more
doaj +3 more sources
Very high spatial resolution commercial satellite imagery can inform observation, mapping, and documentation of micro-topographic transitions across large tundra regions.
Chandi Witharana +10 more
doaj +3 more sources
Understanding the Effects of Optimal Combination of Spectral Bands on Deep Learning Model Predictions: A Case Study Based on Permafrost Tundra Landform Mapping Using High Resolution Multispectral Satellite Imagery [PDF]
Deep learning (DL) convolutional neural networks (CNNs) have been rapidly adapted in very high spatial resolution (VHSR) satellite image analysis. DLCNN-based computer visions (CV) applications primarily aim for everyday object detection from standard ...
Md Abul Ehsan Bhuiyan +8 more
doaj +2 more sources
Formation of Low-Centered Ice-Wedge Polygons and Their Orthogonal Systems: A Review
Ice wedges, which are ubiquitous in permafrost areas, play a significant role in the evolution of permafrost landscapes, influencing the topography and hydrology of these regions. In this paper, we combine a detailed multi-generational, interdisciplinary,
Yuri Shur +8 more
doaj +3 more sources
10,000 years of centennially-resolved climate and sea-level change archived in Svalbard beach-ridge system [PDF]
Over the last 10,000 years, no fewer than 178 beach-ridges were formed and preserved at Bjonasletta in central Spitsbergen, recording shifts in relative sea-level and fluctuations in glacier- and sea ice extent.
Mateusz C. Strzelecki +5 more
doaj +2 more sources
State-of-the-art deep learning technology has been successfully applied to relatively small selected areas of very high spatial resolution (0.15 and 0.25 m) optical aerial imagery acquired by a fixed-wing aircraft to automatically characterize ice-wedge ...
Weixing Zhang +6 more
doaj +3 more sources
Land-atmosphere carbon exchange is known to be extremely heterogeneous in arctic ice-wedge polygonal tundra regions. In this study, a Kalman filter-based method was developed to estimate the spatio-temporal dynamics of daytime average net ecosystem ...
Haruko M. Wainwright +7 more
doaj +3 more sources
New insights into the drainage of inundated ice-wedge polygons using fundamental hydrologic principles [PDF]
The pathways and timing of drainage from the inundated centers of ice-wedge polygons in a warming climate have important implications for carbon flushing, advective heat transport, and transitions from methane to carbon dioxide dominated emissions. Here,
D. R. Harp +10 more
doaj +1 more source
Study of climatically active gas flows on carbonic polygons [PDF]
The study of climatically active gas flows on carbonic polygons is a topic of growing significance in the field of environmental science and climate research.
Bekmurzaeva Rashiya, Bulaeva Nurzhan
doaj +1 more source

