Biodiversity plays a critical role in sustaining ecosystems and human life, yet it faces increasing threats from development activities. This paper introduces innovative methodologies for Biodiversity Impact Assessment (BIA), enhancing traditional Environmental Impact Assessment (EIA) processes. It presents an in-depth review of emerging technologies—including remote sensing, predictive modeling, and automated monitoring systems—and their integration into biodiversity evaluation frameworks. Drawing on European initiatives such as the Lambinemes project, the study outlines practical tools and case studies that demonstrate improved planning, monitoring, and mitigation of biodiversity loss. The paper highlights the limitations of current practices, such as inconsistent data usage and insufficient post-project monitoring, and proposes a more systematic and data-driven approach. It also underscores the importance of stakeholder engagement, policy alignment, and spatial planning in achieving conservation goals. By bridging technological advancements with ecological data, the proposed methodologies aim to support more accurate, transparent, and impactful biodiversity assessments for sustainable development.