Effective monitoring of ecosystem change over time is essential for natural resource management, guiding decisions from permitting and restoration efforts to conservation prioritization. A key limitation is often the lack of resources to effectively monitor change, particularly over periods that extend beyond traditional project windows (i.e., 2-5 years). Furthermore, comparisons across seasonal events or landscape disturbances like wildfire, drought, or floods, or planned events such as land use changes or restoration actions are often opportunistic. One method that can be used is a trail camera for timelapse photography. Timelapse data can be used to document landscape change, phenology, and seasonality by taking photos at set intervals of time from a stationary location. Using photos to estimate vegetative change provides a robust integrator of the effects of year-to-year climate variability and longer-term ecosystem change. R scripts are used to process imagery, allowing users to draw a polygon around an area or vegetation type of interest. This polygon is used to extract data from all images and calculate indices of greenness and senescence. We describe pilot efforts to monitor seasonal change at a series of watersheds in California and highlight the potential implications of using timelapse photography to track restoration efficacy.