HLWATER V1.0 - Trained Mask R-CNN for surface water mapping in boreal forest-tundra

• Main Authors: Freitas, Pedro, Vieira, Gonçalo, Canário, João, Vincent, Warwick F., Pina, Pedro, Mora, Carla
• Format: Other/Unknown Material
• Language: unknown
• Published: Zenodo 2023
• Subjects: Mask R-CNN; Deep Learning; PlanetScope; Water mapping; Small water bodies; Canada; Hudson; Hudson Bay; Nunavik; Pina; permafrost; Subarctic; Tundra
• Online Access: https://doi.org/10.5281/zenodo.10203553

The HLWATER V1.0 is a Mask R-CNN supervised model trained over PlanetScope (including Dove and Dove-R) satellite imagery (Analytic MS – Surface Reflectance) with focus on the automated detection and delineation of small water bodies in the circumpolar North. The model was trained over a dataset of v...