Vegetation dynamics and phenology play an important role in inter-annual vegetation
changes in terrestrial ecosystems and are key indicators of climate-vegetation interactions …

Plant phenology, the annually recurring sequence of plant developmental stages, is
important for plant functioning and ecosystem services and their biophysical and …

Empirical vegetation indices derived from spectral reflectance data are widely used in
remote sensing of the biosphere, as they represent robust proxies for canopy structure, leaf …

Global warming delays the autumn date of foliar senescence (DFS) in recent decades, with
positive implications for growing season length and therefore global carbon storage …

Formal planning and development of what became the first Landsat satellite commenced
over 50 years ago in 1967. Now, having collected earth observation data for well over four …

This study aims to develop a deep learning based classification framework for remotely
sensed time series. The experiment was carried out in Yolo County, California, which has a …

Climate change is shifting the growing seasons of plants, affecting species performance and
biogeochemical cycles. Yet how the timing of autumn leaf senescence in Northern …

Dense time series of Landsat 8 and Sentinel-2 imagery are creating exciting new
opportunities to monitor, map, and characterize temporal dynamics in land surface …

Global data sets on the geographic distribution of livestock are essential for diverse
applications in agricultural socio-economics, food security, environmental impact …

Vegetation phenology controls the seasonality of many ecosystem processes, as well as
numerous biosphere-atmosphere feedbacks. Phenology is also highly sensitive to climate …