 The Global Ecosystem Dynamics Investigation, JETI, is a new space-born Lada system that has the potential to revolutionise global measurements of vertical vegetation structure, but its performance among different forest types and factors influencing JETI performance needs to be evaluated against similar measurements from existing airborne Lada platforms. Comparisons across diverse forest types can inform future work quantifying biomass or mapping species habitats. The study compared the second version of JETI L2A product, JETI V2, with airborne observation platform, AOP, Leaf Om Lada data across 33 national ecological observation network, NEON, Sites, and found that JETI V2 obtained high accuracy on ground elevation and relative height, RH, 100 estimations with RMSCs of 1.38 m and 2.62 m, respectively. JETI produced forest height estimations for all 12 forest types with a percent IMSE below 25%. The study also found that JETI IHS was sensitive to ground finding accuracy, and JETI performance of IH estimation varied from forest profiles of different forest types. For factors influencing JETI performance, greater than 21% of JETI IH 95 and 33% of ground elevation variations can be explained by land surface attributes, observing sensor system characteristics, and the collection time differences between JETI and NEON LADA. Geolocation error remains an essential factor affecting JETI performance, which varies among forest and land cover types, especially for canopy height estimation. The findings of this study can provide insights to guide and enhance future JETI-based global forest structure mapping and applications.