The past decade has witnessed many great successes of machine learning (ML) and deep
learning (DL) applications in agricultural systems, including weed control, plant disease …

Monitoring vegetation phenology is critical for quantifying climate change impacts on
ecosystems. We present an extensive dataset of 1783 site-years of phenological data …

Extended growing season lengths under climatic warming suggest increased time for plant
growth. However, research has focused on climatic impacts to the timing or duration of …

Long‐running eddy covariance flux towers provide insights into how the terrestrial carbon
cycle operates over multiple timescales. Here, we evaluated variation in net ecosystem …

Satellite-derived phenology metrics are valuable tools for understanding broad-scale
patterns and changes in vegetated landscapes over time. However, the extraction and …

Methane dynamics within salt marshes are complex because vegetation types, temperature,
oscillating water levels, and changes in salinity and redox conditions influence CH4 …

Background Climate‐change‐induced shifts in the timing of leaf emergence during spring
have been widely documented and have important ecological consequences. However …

Evergreen conifer forests are the most prevalent land cover type in North America. Seasonal
changes in the color of evergreen forest canopies have been documented with near‐surface …

Coastal salt marshes store large amounts of carbon but the magnitude and patterns of
greenhouse gas (GHG; ie, carbon dioxide (CO2) and methane (CH4)) fluxes are unclear …

Aim Initiation of autumnal leaf senescence is crucial for plant overwintering and ecosystem
dynamics. Previous studies have focused on the advanced stages of autumnal leaf …