Liljedahl, A.K., M. Kanevskiy, T. Jorgenson, B.M. Jones, R. Daanen, H.E. Epstein, C.G. Griffin, K. Kent, and M.K. Ward Jones, 2021: An Object-Based Approach for Mapping Tundra Ice-Wedge Polygon Troughs from Very High Spatial Resolution Optical Satellite Imagery, Remote Sensing, 13(4), https://doi.org/10.3390/rs13040558
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, 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