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

Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount
for human livelihood. Today, this role must be satisfied within a context of environmental …

Remote sensing of solar-induced chlorophyll fluorescence (SIF) is a rapidly advancing front
in terrestrial vegetation science, with emerging capability in space-based methodologies …

The response of vegetation physiology to drought at large spatial scales is poorly
understood due to a lack of direct observations. Here, we study vegetation drought …

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

Vegetation 'greenness' characterized by spectral vegetation indices (VIs) is an integrative
measure of vegetation leaf abundance, biochemical properties and pigment composition …

The increasing availability of satellite data at higher spatial, temporal and spectral
resolutions is enabling new applications in agriculture and economic development …

Satellite based remote sensing offers one of the few approaches able to monitor the spatial
and temporal development of regional to continental scale droughts. A unique element of …

Timely and reliable yield prediction at a large scale is imperative and prerequisite to prevent
climate risk and ensure food security, especially with climate change and increasing …

Wheat is the most important staple crop grown in Australia, and Australia is one of the top
wheat exporting countries globally. Timely and reliable wheat yield prediction in Australia is …