[HTML][HTML] Cloud-free global maps of essential vegetation traits processed from the TOA sentinel-3 catalogue in google earth engine

DD Kovács, P Reyes-Muñoz, M Salinero-Delgado… - Remote Sensing, 2023 - mdpi.com
Global mapping of essential vegetation traits (EVTs) through data acquired by Earth-
observing satellites provides a spatially explicit way to analyze the current vegetation states …

[HTML][HTML] Comparing the quantum use efficiency of red and far-red sun-induced fluorescence at leaf and canopy under heat-drought stress

S Wieneke, J Pacheco-Labrador, MD Mahecha… - Remote Sensing of …, 2024 - Elsevier
Abstract Sun-Induced chlorophyll Fluorescence (SIF) is the most promising remote sensing
signal to monitor photosynthesis in space and time. However, under stress conditions its …

Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine

P Reyes-Muñoz, L Pipia, M Salinero-Delgado, S Belda… - Remote sensing, 2022 - mdpi.com
Thanks to the emergence of cloud-computing platforms and the ability of machine learning
methods to solve prediction problems efficiently, this work presents a workflow to automate …

Enhancing solar-induced fluorescence interpretation: Quantifying fractional sunlit vegetation cover using linear spectral unmixing

A Moncholi-Estornell, MP Cendrero-Mateo, M Antala… - Remote Sensing, 2023 - mdpi.com
Solar-induced chlorophyll fluorescence (SIF) is closely related to plant photosynthetic
activity and has been used in different studies as a proxy for vegetation health status …

[HTML][HTML] Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models

P Reyes-Muñoz, DD Kovács, K Berger, L Pipia… - Remote Sensing of …, 2024 - Elsevier
The ongoing monitoring of terrestrial carbon fluxes (TCF) goes hand in hand with progress
in technical capacities, such as the next-generation Earth observation missions of the …

Untangling the Causal Links between Satellite Vegetation Products and Environmental Drivers on a Global Scale by the Granger Causality Method

DD Kovács, E Amin, K Berger, P Reyes-Muñoz… - Remote Sensing, 2023 - mdpi.com
The Granger Causality (GC) statistical test explores the causal relationships between
different time series variables. By employing the GC method, the underlying causal links …

[HTML][HTML] Retrieval of leaf-level fluorescence quantum efficiency and NPQ-related xanthophyll absorption through spectral unmixing strategies for future VIS-NIR …

S Van Wittenberghe, E Amin… - Remote Sensing of …, 2024 - Elsevier
Current and future vegetation imaging spectroscopy satellites will bring a new data stream of
information, of high scientific value to refine existing remote sensing products, and develop …

[HTML][HTML] The photosynthetic response of spectral chlorophyll fluorescence differs across species and light environments in a boreal forest ecosystem

PA Rajewicz, C Zhang, J Atherton… - Agricultural and Forest …, 2023 - Elsevier
Chlorophyll fluorescence can serve as a proxy of photosynthesis in boreal forests. When
sustained non-photochemical quenching (NPQ S) relaxes towards summer, leaf chlorophyll …

Using Sentinel-2-Based Metrics to Characterize the Spatial Heterogeneity of FLEX Sun-Induced Chlorophyll Fluorescence on Sub-Pixel Scale

N Jantol, E Prikaziuk, M Celesti, I Hernandez-Sequeira… - Remote sensing, 2023 - mdpi.com
Current and upcoming Sun-Induced chlorophyll Fluorescence (SIF) satellite products (eg,
GOME, TROPOMI, OCO, FLEX) have medium-to-coarse spatial resolutions (ie, 0.3–80 km) …

In vivo detection of spectral reflectance changes associated with regulated heat dissipation mechanisms complements fluorescence quantum efficiency in early stress …

S Pescador‐Dionisio, MP Cendrero‐Mateo… - New …, 2025 - Wiley Online Library
Early stress detection of crops requires a thorough understanding of the signals showing the
very first symptoms of the alterations in the photosynthetic light reactions. Detection of the …