Direct photogrammetry with multispectral imagery for UAV-based snow depth estimation

• Published in: ISPRS Journal of Photogrammetry and Remote Sensing
• Main Authors: Maier, Kathrin, Nascetti, Andrea, Van Pelt, Ward, Rosqvist, Gunhild
• Format: Article in Journal/Newspaper
• Language: English
• Published: Uppsala universitet, Luft-, vatten- och landskapslära 2022
• Subjects: Unmanned aerial vehicle; Photogrammetry; Direct georeferencing; Snow depth; Cryosphere; Principal component analysis; Remote Sensing; Fjärranalysteknik; Arctic; Tarfala; Northern Sweden
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-473802; https://doi.org/10.1016/j.isprsjprs.2022.01.020

More accurate snow quality predictions are needed to economically and socially support communities in a changing Arctic environment. This contrasts with the current availability of affordable and efficient snow monitoring methods. In this study, a novel approach is presented to determine spatial sno...