Remote sensing of large wood in high‐resolution satellite imagery: Design of an automated classification work‐flow for multiple wood deposit types

• Published in: Earth Surface Processes and Landforms
• Main Authors: Sendrowski, Alicia, Wohl, Ellen
• Other Authors: National Science Foundation
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2021
• Subjects: Canada; Mackenzie River; Northwest Territories; Tatshenshini River; Mackenzie river; Slave River; Alaska
• Online Access: http://dx.doi.org/10.1002/esp.5179; https://onlinelibrary.wiley.com/doi/pdf/10.1002/esp.5179; https://onlinelibrary.wiley.com/doi/full-xml/10.1002/esp.5179; https://onlinelibrary.wiley.com/doi/am-pdf/10.1002/esp.5179

Abstract Wood researchers increasingly rely on remote‐sensing products to augment field information about wood deposits in river corridors. The availability of very high‐resolution (<1 m) satellite imagery makes capturing wood over greater spatial extents possible, but previous studies have found...