This pathfinder business modeling paper presents a first-order economic analysis of a proposed Earth orbital swath mapping laser altimeter (EDGE: Earth Dynamics Geodetic Explorer), a mission concept targeted for launch in the early 2030s under the openly competed NASA’s Earth System Explorers program. EDGE represents a potentially significant leap in global Earth elevation mapping, aiming to achieve approximately 0. 10-m vertical accuracy, which is more than a 10-fold improvement over existing global benchmarks of 5–10 m. We evaluate the economic return via a stacked AI-based modeling approach on the estimated 400–450 million upfront satellite mission investment through a multisector impact assessment extending to ∼2040. Our business-oriented analysis builds upon established figures-of-merit frameworks from comparable Earth observation (EO) programs, particularly the United States Geological Survey (USGS) 3D Elevation Program (3DEP), which demonstrates a 5: 1 return ratio from high-precision elevation data at regional scales. Our stacked AI/machine learning-modeling analysis estimates that EDGE’s nearly global coverage of Earth’s solid surfaces (including ice-covered regions, forests, bare land, agricultural areas, and coastal zones) will generate economic benefits of approximately 3–5 billion annually by ∼2035, escalating to 8–10 billion annually by 2040 under specific input parameters as commercial applications mature. Assuming launch in 2031, a 2-year mission life, and 1 year for data processing and release, initial economic benefits would begin accruing by ∼2034–2035. This would translate to a projected net present value (NPV) under a moderate adoption case of ∼33B (at 3% discount) within 5 years of final EDGE mission data release, and a potential benefit–cost return on investment >50: 1 (present value) by ∼2040 as the data ecosystem expands in response. Our analysis explores how EDGE’s unprecedented vertical elevation accuracy could realistically catalyze value across multiple sectors, including disaster management, infrastructure development, natural resource management, agriculture, and environmental change adaptation planning. Furthermore, we evaluate how this mission could potentially stimulate a public–private marketplace for orbital topographic data services analogous to the evolution seen in commercial satellite (2D) land imaging, with potential applications extending to lunar and Martian 3D mapping in direct support of NASA’s Moon-to-Mars human exploration program’s highest-priority data and technical gaps circa 2026.
Garvin et al. (2026) studied this question.