The ability to accurately and rapidly acquire leaf area index (LAI) is an indispensable
component of process-based ecological research facilitating the understanding of gas …

Forests are the most complex terrestrial ecosystem on Earth's land surface, providing vital
goods and services upon which the welfare of humanity depends. The quantification of …

We present the first comparison of Sentinel-2A (S2) MSI (Multi-Spectral Instrument) and
Landsat 8 (L8) OLI (Operational Land Imager) data in the retrieval of forest canopy cover …

Genomics and high throughput phenomics have the potential to revolutionize the field of
wheat (Triticum aestivum L.) breeding. Genomic selection (GS) has been used for predicting …

Initiated in 1984, the Committee Earth Observing Satellites' Working Group on Calibration
and Validation (CEOS WGCV) pursues activities to coordinate, standardize and advance …

The increasing number of sensor types for terrestrial remote sensing has necessitated
supplementary efforts to evaluate and standardize data from the different available sensors …

Using a spectral vegetation index (VI) is an efficient approach for monitoring plant
phenology from remotely-sensed data. However, the quantitative biophysical meaning of …

Biomass and leaf area index (LAI) are important variables in many ecological and
environmental applications. In this study, the suitability of visible to shortwave infrared …

With the launch of the Sentinel-2 satellites, a European capacity has been created to ensure
continuity of Landsat and SPOT observations. In contrast to previous sensors, Sentinel-2′ s …

Forest leaf area index (LAI), is an important variable in carbon balance models. However,
understory vegetation is a recognized problem that limits the accuracy of satellite-estimated …