Chandi Witharana

Chandi Witharana Photo
University of Connecticut
chandi.witharana@uconn.edu
URL
View Website

Publications

Witharana, C., M.R. Udawalpola, A.K. Liljedahl, M.K. Ward Jones, B.M. Jones, A. Hasan. D. Joshi, and E. Manos, 2022: Automated Detection of Retrogressive Thaw Slumps in the High Arctic Using High-Resolution Satellite Imagery, Remote Sensing, 14(17), https://doi.org/10.3390/rs14174132

Webb, E.E., A.K. Liljedahl, J.A. Cordeiro, M. M. Loranty, C. Witharana, and J.W. Lichstein, 2022: Permafrost thaw drives surface water decline across lake-rich regions of the Arctic, Nature Climate Change, 12:841-846, https://doi.org/10.1038/s41558-022-01455-w 

Udawalpola, M.R., A. Hasan, A. Liljedahl, A. Soliman, J. Terstriep, and C. Witharana, 2022: An Optimal GeoAI Workflow for Pan-Arctic Permafrost Feature Detection from High-Resolution Satellite Imagery, Photogrammetric Engineering & Remote Sensing, 88(3):181-188, https://doi.org/10.14358/PERS.21-00059R2

Perera, A.S., C. Witharana, E. Manos, and A.K. Liljedahl, 2024: Hyperparameter Optimization for Large-Scale Remote Sensing Image Analysis Tasks: A Case Study Based on Permafrost Landform Detection Using Deep Learning, IEEE Access, 12, https://doi.org/10.1109/ACCESS.2024.3379142

Manos, E., C. Witharana, and A.K. Liljedahl, 2025: Permafrost thaw-related infrastructure damage costs in Alaska are projected to double under medium and high emission scenarios, Communications Earth & Environment, 6(221), https://doi.org/10.1038/s43247-025-02191-7 

Liljedahl, A.K., C. Witharana, and E. Manos, 2024: The capillaries of the Arctic tundra, Nature Water, 2:611-614, https://doi.org/10.1038/s44221-024-00276-9 

Abolt, C.J., A.L. Atchley, D.R. Harp, M.T. Jorgenson, C. Witharana, W.R. Bolton, J. Schwenk, T. Rettelbach, G. Grosse, J. Boike, I. Nitze, A.K. Liljedahl, C.T. Rumpca, C.J. Wilson, and K.E. Bennett, 2024:Topography Controls Variability in Circumpolar Permafrost Thaw Pond Expansion, Journal of Geophysical Research: Earth Surface, 129(9), https://doi.org/10.1029/2024JF007675

Udawalpola, M.R., C. Witharana, A. Hasan, A. Liljedahl, M. Ward Jones, and B. Jones, 2022: AUTOMATED RECOGNITION OF PERMAFROST DISTURBANCES USING HIGH-SPATIAL RESOLUTION SATELLITE IMAGERY AND DEEP LEARNING MODELS, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVI-M-2, https://doi.org/10.5194/isprs-archives-XLVI-M-2-2022-203-2022

Udawalpola, M., A. Hasan, A.K. Liljedahl, A. Soliman, and C. Witharana, 2021: OPERATIONAL-SCALE GEOAI FOR PAN-ARCTIC PERMAFROST FEATURE DETECTION FROM HIGH-RESOLUTION SATELLITE IMAGERY, International Archives of the Photogrammetry, Remote Sensing, and Spatial Information Science, XLIV-M-3, https://doi.org/10.5194/isprs-archives-XLIV-M-3-2021-175-2021

Manos, E., C. Witharana, M.R. Udawalpola, A. Hasan, and A.K. Liljedahl, 2022: Convolutional Neural Networks for Automated Built Infrastructure Detection in the Arctic Using Sub-Meter Spatial Resolution Satellite Imagery, Remote Sensing, 14(11), https://doi.org/10.3390/rs14112719

Manos, E., C. Witharana, A.S. Perera, and A.K. Liljedahl, 2023: A multi-objective comparison of CNN architectures in Arctic human-built infrastructure mapping from sub-meter resolution satellite imagery, International Journal of Remote Sensing, 44(24):7670-7705, https://doi.org/10.1080/01431161.2023.2287563

Li, W., C.-Y. Hsu, S. Wang, C. Witharana, and A. Liljedahl, 2022: Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features: the case of ice-wedge polygons, GeoAI '22: Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, p.62-65, https://doi.org/10.1145/3557918.3565869

Hasan, A., M. Udawalpola, A. Liljedahl, and C. Witharana, 2022: Use of Commercial Satellite Imagery to Monitor Changing Arctic Polygonal Tundra, American Society for Photogrammetry and Remote Sensing, 88(4):255-262, https://doi.org/10.14358/PERS.21-00061R2

 

Hasan, A., C. Witharana, M.R. Udawalpola, and A.K. Liljedahl, 2022: DETECTION OF CLOUDS IN MEDIUM-RESOLUTION SATELLITE IMAGERY USING DEEP CONVOLUTIONAL NEURAL NETS, The International Archives of the Photogrammetry, Remote Sensing, and Spatial Information Sciences, XLVI-M-2, https://doi.org/10.5194/isprs-archives-XLVI-M-2-2022-103-2022 

Hasan, A., M.R. Udawalpola, C. Witharana, and A.K. Liljedahl, 2021: COUNTING ICE-WEDGE POLYGONS FROM SPACE: USE OF COMMERCIAL SATELLITE IMAGERY TO MONITOR CHANGING ARCTIC POLYGONAL TUNDRA, The International Archives of the Photogrammetry, Remote Sensing, and Spatial Information Sciences, XLIV-M-3, https://doi.org/10.5194/isprs-archives-XLIV-M-3-2021-67-2021 

Bhuiyan, M.A.E., C. Witharana and A.K. Liljedahl, 2020: Use of Very High Spatial Resolution Commercial Satellite Imagery and Deep Learning to Automatically Map Ice-Wedge Polygons across Tundra Vegetation Types, J. Imaging, 6(12), https://doi.org/10.3390/jimaging6120137