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Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in Very High Spatial Resolution Aerial Imagery

Remote sensing (Basel, Switzerland), 2018-09, Vol.10 (9), p.1487

2018

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A global population assessment of the Chinstrap penguin (Pygoscelis antarctica)

Scientific reports, 2020-11, Vol.10 (1), p.19474, Article 19474

2020

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Using Deep Learning to Identify Utility Poles with Crossarms and Estimate Their Locations from Google Street View Images

Sensors (Basel, Switzerland), 2018-08, Vol.18 (8), p.2484

2018

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Using LiDAR and GEOBIA for automated extraction of eighteenth-late nineteenth century relict charcoal hearths in southern New England

GIScience and remote sensing, 2018-03, Vol.55 (2), p.183-204

2018

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Using Landsat 8 data to compare percent impervious surface area and normalized difference vegetation index as indicators of urban heat island effects in Connecticut, USA

Environmental earth sciences, 2020-09, Vol.79 (18), Article 424

2020

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Evaluating the impacts of models, data density and irregularity on reconstructing and forecasting dense Landsat time series

Science of Remote Sensing, 2021-12, Vol.4, p.100023, Article 100023

2021

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Mapping Relict Charcoal Hearths in New England Using Deep Convolutional Neural Networks and LiDAR Data

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (22), p.4630

2021

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Use of Very High Spatial Resolution Commercial Satellite Imagery and Deep Learning to Automatically Map Ice-Wedge Polygons across Tundra Vegetation Types

Journal of imaging, 2020-12, Vol.6 (12), p.137

2020

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An Object-Based Image Analysis Approach for Detecting Penguin Guano in very High Spatial Resolution Satellite Images

Remote sensing (Basel, Switzerland), 2016, Vol.8 (5), p.375-375

2016

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Hyperparameter Optimization for Large-Scale Remote Sensing Image Analysis Tasks: A Case Study Based on Permafrost Landform Detection Using Deep Learning

IEEE access, 2024, Vol.12, p.43062-43077

2024

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Convolutional Neural Networks for Automated Built Infrastructure Detection in the Arctic Using Sub-Meter Spatial Resolution Satellite Imagery

Remote sensing (Basel, Switzerland), 2022-06, Vol.14 (11), p.2719

2022

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Automated Detection of Retrogressive Thaw Slumps in the High Arctic Using High-Resolution Satellite Imagery

Remote sensing (Basel, Switzerland), 2022-09, Vol.14 (17), p.4132

2022

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An Object-Based Approach for Mapping Tundra Ice-Wedge Polygon Troughs from Very High Spatial Resolution Optical Satellite Imagery

Remote sensing (Basel, Switzerland), 2021-02, Vol.13 (4), p.558

2021

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Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model’s Generalizability in Permafrost Mapping

Remote sensing (Basel, Switzerland), 2024-03, Vol.16 (5), p.797

2024

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Non-Parametric Machine Learning Modeling of Tree-Caused Power Outage Risk to Overhead Distribution Powerlines

Applied sciences, 2024-06, Vol.14 (12), p.4991

2024

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Can Plot-Level Photographs Accurately Estimate Tundra Vegetation Cover in Northern Alaska?

Remote sensing (Basel, Switzerland), 2023-04, Vol.15 (8), p.1972

2023

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Multi-Dimensional Remote Sensing Analysis Documents Beaver-Induced Permafrost Degradation, Seward Peninsula, Alaska

Remote sensing (Basel, Switzerland), 2021-12, Vol.13 (23), p.4863

2021

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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

Journal of imaging, 2020-09, Vol.6 (9), p.97

2020

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Classifying and Georeferencing Indoor Point Clouds With ArcGIS

Photogrammetric engineering and remote sensing, 2022-06, Vol.88 (6), p.383-390

2022

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Optimizing multi-resolution segmentation scale using empirical methods: Exploring the sensitivity of the supervised discrepancy measure Euclidean distance 2 (ED2)

ISPRS journal of photogrammetry and remote sensing, 2014-01, Vol.87, p.108-121

2014

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Use of Commercial Satellite Imagery to Monitor Changing Arctic Polygonal Tundra

Photogrammetric engineering and remote sensing, 2022-04, Vol.88 (4), p.255-262

2022

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A multi-objective comparison of CNN architectures in Arctic human-built infrastructure mapping from sub-meter resolution satellite imagery

International journal of remote sensing, 2023-12, Vol.44 (24), p.7670-7705

2023

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Permafrost thaw drives surface water decline across lake-rich regions of the Arctic

Nature climate change, 2022-08, Vol.12 (9), p.841-846

2022

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Modeling the impact of local environmental variables on tree-related power outages along distribution powerlines

Electric power systems research, 2023-08, Vol.221, p.109486, Article 109486

2023

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An Optimal GeoAI Workflow for Pan-Arctic Permafrost Feature Detection from High-Resolution Satellite Imagery

Photogrammetric engineering and remote sensing, 2022-03, Vol.88 (3), p.181-188

2022

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Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in Very High Spatial Resolution Aerial Imagery

A global population assessment of the Chinstrap penguin (Pygoscelis antarctica)

Using Deep Learning to Identify Utility Poles with Crossarms and Estimate Their Locations from Google Street View Images

Using LiDAR and GEOBIA for automated extraction of eighteenth-late nineteenth century relict charcoal hearths in southern New England

Using Landsat 8 data to compare percent impervious surface area and normalized difference vegetation index as indicators of urban heat island effects in Connecticut, USA

Evaluating the impacts of models, data density and irregularity on reconstructing and forecasting dense Landsat time series

Mapping Relict Charcoal Hearths in New England Using Deep Convolutional Neural Networks and LiDAR Data

Use of Very High Spatial Resolution Commercial Satellite Imagery and Deep Learning to Automatically Map Ice-Wedge Polygons across Tundra Vegetation Types

An Object-Based Image Analysis Approach for Detecting Penguin Guano in very High Spatial Resolution Satellite Images

Hyperparameter Optimization for Large-Scale Remote Sensing Image Analysis Tasks: A Case Study Based on Permafrost Landform Detection Using Deep Learning

Convolutional Neural Networks for Automated Built Infrastructure Detection in the Arctic Using Sub-Meter Spatial Resolution Satellite Imagery

Automated Detection of Retrogressive Thaw Slumps in the High Arctic Using High-Resolution Satellite Imagery

An Object-Based Approach for Mapping Tundra Ice-Wedge Polygon Troughs from Very High Spatial Resolution Optical Satellite Imagery

Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model’s Generalizability in Permafrost Mapping

Non-Parametric Machine Learning Modeling of Tree-Caused Power Outage Risk to Overhead Distribution Powerlines

Can Plot-Level Photographs Accurately Estimate Tundra Vegetation Cover in Northern Alaska?

Multi-Dimensional Remote Sensing Analysis Documents Beaver-Induced Permafrost Degradation, Seward Peninsula, Alaska

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

Classifying and Georeferencing Indoor Point Clouds With ArcGIS

Optimizing multi-resolution segmentation scale using empirical methods: Exploring the sensitivity of the supervised discrepancy measure Euclidean distance 2 (ED2)

Use of Commercial Satellite Imagery to Monitor Changing Arctic Polygonal Tundra

A multi-objective comparison of CNN architectures in Arctic human-built infrastructure mapping from sub-meter resolution satellite imagery

Permafrost thaw drives surface water decline across lake-rich regions of the Arctic

Modeling the impact of local environmental variables on tree-related power outages along distribution powerlines

An Optimal GeoAI Workflow for Pan-Arctic Permafrost Feature Detection from High-Resolution Satellite Imagery

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