An overview of global leaf area index (LAI): Methods, products, validation, and applications
Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …
feedback of vegetation to the climate system. The advancement of the global Earth …
Remote sensing in field crop monitoring: A comprehensive review of sensor systems, data analyses and recent advances
The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …
to support productivity increases while minimizing inputs and the adverse effects of climate …
Quantifying vegetation biophysical variables from imaging spectroscopy data: A review on retrieval methods
An unprecedented spectroscopic data stream will soon become available with forthcoming
Earth-observing satellite missions equipped with imaging spectroradiometers. This data …
Earth-observing satellite missions equipped with imaging spectroradiometers. This data …
Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties–A review
Forthcoming superspectral satellite missions dedicated to land monitoring, as well as
planned imaging spectrometers, will unleash an unprecedented data stream. The …
planned imaging spectrometers, will unleash an unprecedented data stream. The …
[HTML][HTML] Retrieval of aboveground crop nitrogen content with a hybrid machine learning method
Hyperspectral acquisitions have proven to be the most informative Earth observation data
source for the estimation of nitrogen (N) content, which is the main limiting nutrient for plant …
source for the estimation of nitrogen (N) content, which is the main limiting nutrient for plant …
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 …
systematic comparison of retrieval accuracy and processing speed of a multitude of …
An overview of crop nitrogen status assessment using hyperspectral remote sensing: Current status and perspectives
Nitrogen (N) is significantly related to crop photosynthetic capacity. Over-and-under-
application of N fertilizers not only limits crop productivity but also leads to negative …
application of N fertilizers not only limits crop productivity but also leads to negative …
A survey on Gaussian processes for earth-observation data analysis: A comprehensive investigation
Gaussian processes (GPs) have experienced tremendous success in biogeophysical
parameter retrieval in the last few years. GPs constitute a solid Bayesian framework to …
parameter retrieval in the last few years. GPs constitute a solid Bayesian framework to …
[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 …
launched and upcoming science-driven missions, eg PRecursore IperSpettrale della …
[HTML][HTML] Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data
J Estévez, M Salinero-Delgado, K Berger… - Remote sensing of …, 2022 - Elsevier
The unprecedented availability of optical satellite data in cloud-based computing platforms,
such as Google Earth Engine (GEE), opens new possibilities to develop crop trait retrieval …
such as Google Earth Engine (GEE), opens new possibilities to develop crop trait retrieval …