New model reveals pathway for land-efficient U.S. solar expansion

McGill University researchers used deep-learning computer vision to analyze 719 solar projects across the Western U.S. The study establishes a new “land-sparing” benchmark, providing developers with precise data to balance rapid capacity expansion with conservation and land-use priorities.