Land surface temperature (LST) is a crucial parameter that reflects land–atmosphere
interaction and has thus attracted wide interest from geoscientists. Owing to the rapid …

Vegetation indices (VIs), which describe remotely sensed vegetation properties such as
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …

Exposure to outdoor fine particulate matter (PM2. 5) is a leading risk factor for mortality. We
develop global estimates of annual PM2. 5 concentrations and trends for 1998–2018 using …

Vegetation greenness has been increasing globally since at least 1981, when satellite
technology enabled large-scale vegetation monitoring. The greening phenomenon, together …

Restoring species diversity is proposed as a strategy to improve ecosystem resistance to
extreme droughts, but the impact of species diversity on resistance has not been evaluated …

This paper describes the latest version of the algorithm MAIAC used for processing the
MODIS Collection 6 data record. Since initial publication in 2011–2012, MAIAC has …

While large‐scale terrestrial evapotranspiration (ET) information is essential for our
understanding of the Earth's water and energy cycles, substantial differences exist in current …

Accurate estimation of the gross primary production (GPP) of terrestrial vegetation is vital for
understanding the global carbon cycle and predicting future climate change. Multiple GPP …

Extensive evidence reveals that Earth's snow cover is declining, but our ability to monitor
trends in mountain regions is limited. New satellite missions with robust snow water …

Eutrophication of inland waters is considered a serious global environmental problem.
Satellite remote sensing (RS) has been established as an important source of information to …