For decades, the dynamic nature of chlorophyll a fluorescence (ChlaF) has provided insight
into the biophysics and ecophysiology of the light reactions of photosynthesis from the …

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 …

Early prediction of grain yield helps scientists to make better breeding decisions for wheat.
Use of machine learning (ML) methods for fusion of unmanned aerial vehicle (UAV)-based …

Satellite retrievals of information about the Earth's surface are widely used to monitor global
terrestrial photosynthesis and primary production and to examine the ecological impacts of …

Wheat biomass can be estimated using appropriate spectral vegetation indices. However,
the accuracy of estimation should be further improved for on-farm crop management …

Yellow rust is a worldwide disease that poses a serious threat to the safety of wheat
production. Numerous studies on near-surface hyperspectral remote sensing at the leaf …

Plant stress detection is considered one of the most critical areas for the improvement of
crop yield in the compelling worldwide scenario, dictated by both the climate change and the …

In evergreen conifers, where the foliage amount changes little with season, accurate
detection of the underlying “photosynthetic phenology” from satellite remote sensing has …

Terrestrial primary productivity and carbon cycle impacts of droughts are commonly
quantified using vapour pressure deficit (VPD) data and remotely sensed greenness, without …

Detecting disease-or insect-infested forests as early as possible is a classic application of
remote sensing. Under conditions of climate change and global warming, outbreaks of the …