Works matching AU Witharana, Chandi
Results: 24
A Collaborative and Scalable Geospatial Data Set for Arctic Retrogressive Thaw Slumps with Data Standards.
- Published in:
- Scientific Data, 2025, v. 12, n. 1, p. 1, doi. 10.1038/s41597-025-04372-7
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- Publication type:
- Article
Stormwise: Innovative Forest Management to Promote Storm Resistance in Roadside Forests.
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- Journal of Forestry, 2024, v. 122, n. 4, p. 398, doi. 10.1093/jofore/fvae011
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- Publication type:
- 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.
- Published in:
- Environmental Earth Sciences, 2020, v. 79, n. 18, p. 1, doi. 10.1007/s12665-020-09159-0
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- Publication type:
- Article
Tree Trimming Effects on 3-Dimensional Crown Structure and Tree Biomechanics: A Pilot Project.
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- Arboriculture & Urban Forestry, 2024, v. 50, n. 6, p. 395, doi. 10.48044/jauf.2024.020
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- Article
Classifying and Georeferencing Indoor Point Clouds with ArcGIS.
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- Photogrammetric Engineering & Remote Sensing, 2022, v. 88, n. 6, p. 383, doi. 10.14358/PERS.21-00048R2
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- Publication type:
- Article
Use of Commercial Satellite Imagery to Monitor Changing Arctic Polygonal Tundra.
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- Photogrammetric Engineering & Remote Sensing, 2022, v. 88, n. 4, p. 255, doi. 10.14358/PERS.21-00061R2
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- Publication type:
- Article
An Optimal GeoAI Workflow for Pan-Arctic Permafrost Feature Detection from High-Resolution Satellite Imagery.
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- Photogrammetric Engineering & Remote Sensing, 2022, v. 88, n. 3, p. 181, doi. 10.14358/PERS.21-00059R2
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- Publication type:
- Article
Use of Very High Spatial Resolution Commercial Satellite Imagery and Deep Learning to Automatically Map Ice-Wedge Polygons across Tundra Vegetation Types.
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- Journal of Imaging, 2020, v. 6, n. 12, p. 1, doi. 10.3390/jimaging6120137
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- Publication type:
- 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.
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- Journal of Imaging, 2020, v. 6, n. 9, p. 1, doi. 10.3390/jimaging6090097
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- Article
Reply to: Detecting long-term Arctic surface water changes.
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- 2023
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- Publication type:
- Letter
Permafrost thaw drives surface water decline across lake-rich regions of the Arctic.
- Published in:
- Nature Climate Change, 2022, v. 12, n. 9, p. 841, doi. 10.1038/s41558-022-01455-w
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- Publication type:
- Article
Non-Parametric Machine Learning Modeling of Tree-Caused Power Outage Risk to Overhead Distribution Powerlines.
- Published in:
- Applied Sciences (2076-3417), 2024, v. 14, n. 12, p. 4991, doi. 10.3390/app14124991
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- Publication type:
- Article
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping.
- Published in:
- Remote Sensing, 2024, v. 16, n. 5, p. 797, doi. 10.3390/rs16050797
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- Publication type:
- Article
Can Plot-Level Photographs Accurately Estimate Tundra Vegetation Cover in Northern Alaska?
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- Remote Sensing, 2023, v. 15, n. 8, p. 1972, doi. 10.3390/rs15081972
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- Publication type:
- Article
Automated Detection of Retrogressive Thaw Slumps in the High Arctic Using High-Resolution Satellite Imagery.
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- Remote Sensing, 2022, v. 14, n. 17, p. 4132, doi. 10.3390/rs14174132
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- Publication type:
- Article
Convolutional Neural Networks for Automated Built Infrastructure Detection in the Arctic Using Sub-Meter Spatial Resolution Satellite Imagery.
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- Remote Sensing, 2022, v. 14, n. 11, p. 2719, doi. 10.3390/rs14112719
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- Publication type:
- Article
Multi-Dimensional Remote Sensing Analysis Documents Beaver-Induced Permafrost Degradation, Seward Peninsula, Alaska.
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- Remote Sensing, 2021, v. 13, n. 23, p. 4863, doi. 10.3390/rs13234863
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- Publication type:
- Article
Mapping Relict Charcoal Hearths in New England Using Deep Convolutional Neural Networks and LiDAR Data.
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- Remote Sensing, 2021, v. 13, n. 22, p. 4630, doi. 10.3390/rs13224630
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- Publication type:
- Article
An Object-Based Approach for Mapping Tundra Ice-Wedge Polygon Troughs from Very High Spatial Resolution Optical Satellite Imagery.
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- Remote Sensing, 2021, v. 13, n. 4, p. 558, doi. 10.3390/rs13040558
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- Publication type:
- Article
A multi-objective comparison of CNN architectures in Arctic human-built infrastructure mapping from sub-meter resolution satellite imagery.
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- International Journal of Remote Sensing, 2023, v. 44, n. 24, p. 7670, doi. 10.1080/01431161.2023.2287563
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- Publication type:
- Article
Using Deep Learning to Identify Utility Poles with Crossarms and Estimate Their Locations from Google Street View Images.
- Published in:
- Sensors (14248220), 2018, v. 18, n. 8, p. 2484, doi. 10.3390/s18082484
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- Publication type:
- Article
A global population assessment of the Chinstrap penguin (Pygoscelis antarctica).
- Published in:
- Scientific Reports, 2020, v. 10, n. 1, p. N.PAG, doi. 10.1038/s41598-020-76479-3
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- Publication type:
- Article
Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in Very High Spatial Resolution Aerial Imagery.
- Published in:
- Remote Sensing, 2018, v. 10, n. 9, p. 1487, doi. 10.3390/rs10091487
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- Publication type:
- Article
An Object-Based Image Analysis Approach for Detecting Penguin Guano in very High Spatial Resolution Satellite Images.
- Published in:
- Remote Sensing, 2016, v. 8, n. 5, p. 375, doi. 10.3390/rs8050375
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- Publication type:
- Article