中国团队研发遥感融合人工智能技术 精准量化饲草种植发展潜力

Core Insights - The Chinese Academy of Sciences' Aerospace Information Innovation Research Institute has developed an innovative AI and remote sensing integrated technology for precise identification of optimal forage areas in arid and semi-arid regions, particularly in the Yellow River basin [1] - This research addresses the dual pressures of rigid water resource constraints and the need to ensure forage security in northern China, aiming to scientifically restore degraded land while enhancing overall land productivity [2] Research Framework - The research team constructed a cross-level, cross-data source fusion technology framework that effectively integrates satellite remote sensing data, ecological hydrological process model simulations, and ground measurement data, significantly reducing reliance on high-density ground sampling points [4] - Utilizing multi-source satellite observation data, the team generated high-quality training samples based on water balance and crop growth mechanism models, achieving over 90% accuracy in the inversion of key production factors such as irrigation water usage, net primary productivity of vegetation, and soil organic carbon distribution [4] Decision-Making Tool - The study presents a three-dimensional optimization problem that balances water resource consumption, soil carbon sequestration benefits, and forage production output, moving away from traditional assessments that focus on single yield or ecological indicators [5] - By measuring ecological benefits, economic returns, and water costs on a unified scale, the research provides a visual tool that helps managers prioritize which plots are most suitable for forage planting, thereby optimizing resource allocation [6] Broader Implications - The developed remote sensing and AI technology framework has the potential for application in other arid regions, such as the Inner Mongolia-Ningxia ecological transition zone and the Hexi Corridor-Tarim Basin oasis edge, and offers valuable insights for similar challenges in global arid and semi-arid areas, including the Sahel region of Africa and parts of South Asia and West Asia [6]