Remote sensing's strength is that it can accurately map and track conditions in the same precise locations within a single growing season and across years. This gives us the power to isolate and monitor specific disturbances as they continuously occur over time and to understand forest dynamics with more precision than is practical with any other approach.  This sequence of early and late 2024 growing season change shows the impacts of two disturbances and how they can be isolated--early season spongy moth defoliation (from June) in the Catskills of New York and a late-August hailstorm northeast of New Haven, Connecticut that impacted the forest canopy in that city's watershed, hastening the seasonal loss of foliage there by a few weeks. This technique also shows the duration of June spongy moth defoliation in New York that lasted through the entire 2024 growing season. This duration of effects likely translated to reduced tree growth and lower forest productivity.  Meanwhile, the hail event occurred late in the 2024 growing season shortly before normal fall senescence, so it likely had much less impact on growth.