New paper “Guiding Deep Learning with Landscape Metrics for LULC Mapping Applications”

Deep Learning (DL) has become a core methodological pillar in remote sensing and GeoAI, enabling large-scale applications such as Land Use Land Cover (LULC) mapping, object detection, and spatiotemporal prediction. Despite impressive performance gains, current DL models often operate with limited integration of geographic principles, leading to high computational demands and outputs that lack logical […]