Quantifying vegetation biophysical variables from imaging spectroscopy data: A review on retrieval methods

J Verrelst, Z Malenovský, C Van der Tol… - Surveys in …, 2019 - Springer
An unprecedented spectroscopic data stream will soon become available with forthcoming
Earth-observing satellite missions equipped with imaging spectroradiometers. This data …

Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties–A review

J Verrelst, G Camps-Valls, J Muñoz-Marí… - ISPRS Journal of …, 2015 - Elsevier
Forthcoming superspectral satellite missions dedicated to land monitoring, as well as
planned imaging spectrometers, will unleash an unprecedented data stream. The …

Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery

G Tagliabue, M Boschetti, G Bramati, G Candiani… - ISPRS Journal of …, 2022 - Elsevier
The recently launched and upcoming hyperspectral satellite missions, featuring contiguous
visible-to-shortwave infrared spectral information, are opening unprecedented opportunities …

Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods–A comparison

J Verrelst, JP Rivera, F Veroustraete… - ISPRS Journal of …, 2015 - Elsevier
Given the forthcoming availability of Sentinel-2 (S2) images, this paper provides a
systematic comparison of retrieval accuracy and processing speed of a multitude of …

Spectral band selection for vegetation properties retrieval using Gaussian processes regression

J Verrelst, JP Rivera, A Gitelson, J Delegido… - International Journal of …, 2016 - Elsevier
With current and upcoming imaging spectrometers, automated band analysis techniques are
needed to enable efficient identification of most informative bands to facilitate optimized …

[HTML][HTML] Mapping landscape canopy nitrogen content from space using PRISMA data

J Verrelst, JP Rivera-Caicedo, P Reyes-Muñoz… - ISPRS Journal of …, 2021 - Elsevier
Satellite imaging spectroscopy for terrestrial applications is reaching maturity with recently
launched and upcoming science-driven missions, eg PRecursore IperSpettrale della …

Red-edge band vegetation indices for leaf area index estimation from Sentinel-2/MSI imagery

Y Sun, Q Qin, H Ren, T Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The estimation of leaf area index (LAI) from optical remotely sensed data based on
vegetation indices (VIs) is a quick and practical approach to acquire LAI over vast areas …

Improved estimation of winter wheat aboveground biomass using multiscale textures extracted from UAV-based digital images and hyperspectral feature analysis

Y Fu, G Yang, X Song, Z Li, X Xu, H Feng, C Zhao - Remote Sensing, 2021 - mdpi.com
Rapid and accurate crop aboveground biomass estimation is beneficial for high-throughput
phenotyping and site-specific field management. This study explored the utility of high …

A survey of active learning for quantifying vegetation traits from terrestrial earth observation data

K Berger, JP Rivera Caicedo, L Martino, M Wocher… - Remote Sensing, 2021 - mdpi.com
The current exponential increase of spatiotemporally explicit data streams from satellite-
based Earth observation missions offers promising opportunities for global vegetation …

Inversion of maize leaf area index from UAV hyperspectral and multispectral imagery

A Guo, H Ye, W Huang, B Qian, J Wang, Y Lan… - … and Electronics in …, 2023 - Elsevier
The accurate estimation of Leaf area index (LAI) is of great importance for evaluating crop
growth in precision agriculture. Although previous studies have confirmed great advantages …