Yuri Knyazikhin

TL;DR: An algorithm based on the physics of radiative transfer in vegetation canopies for the retrieval of vegetation green leaf area index (LAI) and fraction of absorbed photosynthetically active radiation (FPAR) from surface reflectances was developed and implemented for operational processing prior to the launch of the moderate resolution imaging spectroradiometer (MODIS) aboard the TERRA platform in December of 1999 as discussed by the authors.

TL;DR: The proposed MODIS standard products for land applications are described along with the current plans for data quality assessment and product validation.

TL;DR: In this article, a synergistic algorithm was proposed to produce global leaf area index and fraction of absorbed photosynthetically active radiation fields from canopy reflectance data measured by MODIS (moderate resolution imaging spectroradiometer) and MISR (multiangle imaging spectraladiometer).

TL;DR: In this paper, the use of prior information to reduce the uncertainties associated to the estimation of canopy biophysical variables in the radiative transfer model inversion process was investigated, and the results showed that the prior information significantly improves the accuracy of the estimation.

TL;DR: It is found that to infer leaf biochemical constituents, e.g., N content, from remotely sensed data, BRF spectra in the interval 710–790 nm provide critical information for correction of structural influences, and suggests that surface characteristics of leaves impact remote sensing of its internal constituents.