Habitat Classification from Ground-Level Imagery Using Deep Neural Networks

ArXi:2507.04017v2 Announce Type: replace Habitat assessment at local scales--critical for enhancing biodiversity and guiding conservation priorities--often relies on expert field surveys that can be costly, motivating the exploration of AI-driven tools to automate and refine this process. While most AI-driven habitat mapping depends on remote sensing, it is often constrained by sensor availability, weather, and coarse resolution.