CHM-MS-net-Canopy-Height-Model
The CHM-MS-net Canopy Height Model is a MS-net neural network applied to high resolution satellite imagery to estimate tree height, tree location, and crown radius.
Atchley, Adam↗
Engineering topics
Abolt, Charles
Publications and source records attributed to Abolt, Charles.
A neural network for cloud masking in WorldView satellite imagery
This repository includes the cloud detection algorithm used in the manuscript 'Topography controls variability in circumpolar permafrost thaw pond expansion' by Abolt et al. It also includes a demonstration of the algorithm's use at a survey area in northern Alaska and a demonstration of training the algorithm. This dataset includes .pt place-text, .py python, .tif image, .ipynb Jupyter notebook, and .txt text files.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic) was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
54 ENVIRONMENTAL SCIENCES↗
Maps of ice wedge thermokarst pool expansion from twenty-seven circumpolar survey areas
This repository includes data and code to accompany the manuscript 'Topography controls variability in circumpolar permafrost thaw pond expansion' by Abolt et al. The data include satellite imagery and derived maps of thermokarst pools from twenty-seven survey areas in North America and Siberia. The code, written in MATLAB (R2021a), contains demonstrations of the workflow for generating the maps. The demonstrations include training a generalized UNet for mapping thermokarst pools using data from three survey areas, 'fine tuning' the UNet for use at a specific survey area using transfer learning, applying a trained UNet to infer thermokarst pool extent within satellite imagery, and performing histogram matching as a pre-processing step to improve satellite imagery contrast. Contains MATLAB script files and M files, TIF files, shape files, XML, Excel, TXT, and CSV files.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic) was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
54 ENVIRONMENTAL SCIENCES↗
Circumpolar observations of ice wedge melting and thermokarst pool expansion [PowerPoint]
Illustrations/images of various stages of ice wedge melting and thermokarst pool expansion are provided.
54 ENVIRONMENTAL SCIENCES↗
Feedbacks Between Surface Deformation and Permafrost Degradation in Ice Wedge Polygons: Modeling Archive
This Modeling Archive is in support of an NGEE Arctic publication "Feedbacks between surface deformation and permafrost degradation in ice wedge polygons," submitted for review to the Journal of Geophysical Research: Earth Surface. The goals of the study were: 1) to determine how variability in microtopographic conditions (i.e., rim height, trough width, and trough depth) and hydrologic conditions in the trough (i.e., inundated or well-drained) of an ice wedge polygon impact active layer thickness above an ice wedge; and 2) to determine how microtopographic and hydrologic controls on active layer thickness may influence thermokarst trajectories in ice wedge polygon terrain. Toward these objectives, an ensemble of fine-scale simulations of the hydrologic and thermal regimes in ice wedge polygons of variable microtopography was conducted, each polygon being subjected to identical meteorological forcing data, characteristic of the last twenty years near Prudhoe Bay, Alaska. Simulations incorporated solutions of conservation of water and mass at the surface, in the subsurface, and in the snowpack. Active layer thickness in the trough (i.e., above the ice wedge) was extracted from each simulation at the end of a 19 year spin-up, and at the end of a markedly warm summer which followed the spin-up. This archive includes mesh files, meteorological forcing data, and input files needed to reproduce the analysis described in the paper. Due to the large file sizes, raw model output has been omitted. However, post-processing scripts and time series of several variables extracted from the raw output have been included. All data are included in one zipped file with a user guide as a pdf. All simulations were conducted using Amanzi-ATS, v 0.86 (https://doi.org/10.11578/dc.20190911.1).The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
54 ENVIRONMENTAL SCIENCES↗