Chandi Witharana
Assistant Professor/Natural Resources and Environ
Storrs Mansfield
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Scholarly Contributions
140 Scholarly Contributions
Deep convolutional neural networks for automated characterization of Arctic ice-wedge polygons in very high spatial resolution aerial imagery
2018
Research Type: Journal Article
Assessing the Effectiveness of Enhanced Tree Trimming in Connecticut
2018
Research Type: Poster/Presentation
An analysis of enhanced tree trimming effectiveness on reducing power outages
2019
Research Type: Journal Article
Towards First pan-Arctic Ice-wedge Polygon Map: Understanding the Synergies of Data Fusion and Deep Learning in Automated Ice-wedge Polygon Detection from High Resolution Commercial Satellite Imagery
2019
Research Type: Journal Article
Big Imagery as a Resource to Understand Patterns, Dynamics, and Vulnerability of Arctic Polygonal Tundra
2019
Research Type: Journal Article
An Analysis of Enhanced Tree Trimming Effectiveness on Reducing Power Outages
2019
Research Type: Journal Article
Automated Characterization of Ice-Wedge Polygons from Very-High-Resolution Imagery
2019
Research Type: Poster/Presentation
Mapping Historic Land Use Features in the northeast US using Neural Networks and LIDAR data
2019
Research Type: Poster/Presentation
Automated Mapping of Electric Utility Infrastructure from Multi-Source Remote Sensing Data
2019
Research Type: Poster/Presentation
Object-based detection of Southern New England’s 18th- late 19th century relict charcoal hearths from LiDAR data
2019
Research Type: Poster/Presentation
Object-Based Detection of Southern New England 18th to late 19th-Century Charcoal Hearths from Lidar Data
2019
Research Type: Poster/Presentation
A global population assessment of the Chinstrap penguin (Pygoscelis antarctica)
2020
Research Type: Journal Article
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
2020
Research Type: Journal Article
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
2020
Research Type: Journal Article
Understanding the synergies of deep learning and data fusion of multispectral and panchromatic high resolution commercial satellite imagery for automated ice-wedge polygon detection
2020
Research Type: Journal Article
Use of Very High Spatial Resolution Commercial Satellite Imagery and Deep Learning to Automatically Map Ice-Wedge Polygons across Tundra Vegetation Types
2020
Research Type: Journal Article
Big Imagery and High Performance Computing as Resources to Understand Changing Arctic Polygonal Tundra
2020
Research Type: Journal Article
Early detection of potato leafhopper and cabbage aphid damage to crops using spectral reflectance.
2020
Research Type: Poster/Presentation
Harnessing Commercial Satellite Imagery, Artificial Intelligence, and High Performance Computing to Characterize Ice-wedge Polygonal Tundra
2020
Research Type: Poster/Presentation