We propose AquaHeat-NY, a commercialization effort that transforms a validated satellite heat model into a long-term decision-support system for New York's water-resource planning. New York is warming, and rising water temperatures reduce dissolved oxygen, promote harmful algal blooms, and increase drinking-water treatment burdens; the State's current heat products, however, are coarse in resolution and provide limited projection information. In partnership with SRC, Inc.—a New York research-and-development firm and major U.S. Department of Defense contractor—we will translate the peer-reviewed SHINE model, a 1-km daily Heat Index spanning the conterminous United States, into water-quality risk indicators using well-established air–water temperature, dissolved-oxygen, and harmful-algal-bloom models. We will validate the system through a New York pilot, sharing heat-trend feeds with the NYS Department of Health and the American Cancer Society. Because SHINE already covers the entire country, the capability extends to other states and to defense and federal markets without further research, affording several independent commercialization paths. The project also trains a doctoral student across machine learning, water science, and commercialization.