Quantifying ecosystem carbon fluxes and stocks is essential for better understanding the
global carbon cycle and improving projections of the carbon-climate feedbacks. Remote …

Drought is a common hydrometeorological phenomenon and a pervasive global hazard. As
our climate changes, it is likely that drought events will become more intense and frequent …

Quantifying global terrestrial photosynthesis is essential to understanding the global carbon
cycle and the climate system. Remote sensing has played a pivotal role in advancing our …

Two prominent limitations of species distribution models (SDM s) are spatial biases in
existing occurrence data and a lack of spatially explicit predictor variables to fully capture …

Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …

Land surface temperature (LST) is one of the most important and widely used parameter for
studying land surface processes. Moderate Resolution Imaging Spectroradiometer (MODIS) …

The enhanced vegetation index (EVI) was developed as a standard satellite vegetation
product for the Terra and Aqua Moderate Resolution Imaging Spectroradiometers (MODIS) …

Remotely sensed vegetation indices are widely used to detect greening and browning
trends; especially the global coverage of time-series normalized difference vegetation index …

Traditional remote sensing techniques allow the assessment of green plant biomass, and
therefore plant photosynthetic capacity. However, detecting how much of this capacity is …

Spatio-temporal fields of land–atmosphere fluxes derived from data-driven models can
complement simulations by process-based land surface models. While a number of …