Скачать с ютуб Continuous monitoring high temporal and spatial resolution impervious surfaces – Suiyuan Wang в хорошем качестве

Continuous monitoring high temporal and spatial resolution impervious surfaces – Suiyuan Wang

This study introduces a two-stage method for monitoring impervious surfaces (IS) with high accuracy and resolution. We apply U-Net CNN to mask stable areas and Continuous Change Detection (CCD) for IS change analysis over time. Achievements include excellent IS detection (OA=0.96), change identification (OA=0.94), and timing (OA=0.77). The approach emphasizes computational savings by targeting significant changes and demonstrates CCD's efficacy using PlanetScope imagery for accurate IS tracking.   ——— This sessions was recorded live at State of the Map US 2024 in Salt Lake City, Utah. Hosted by OpenStreetMap US, the annual State of the Map US conference is the largest gathering of OpenStreetMap community members from across the United States. For more information about this and future events, visit https://openstreetmap.us/events