Navigation auf zora.uzh.ch

Search ZORA

ZORA (Zurich Open Repository and Archive)

Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

Abstract

Quantum yield of fluorescence (φF) is key to interpret remote measurements of sun-induced fluorescence (SIF), and whether the SIF signal is governed by photochemical quenching (PQ) or non-photochemical quenching (NPQ). Disentangling PQ from NPQ allows using SIF estimates in various applications in aquatic optics. However, obtaining φF is challenging due to its high temporal and physiological variability, and the combined measurements needed to enclose all relevant optical paths. In inland waters, this type of data is scarce and information on diurnal and seasonal φF dynamics are almost unknown. Using an autonomous hyperspectral Thetis profiler in Lake Geneva, we demonstrate how to estimate φF using an ensemble of in-situ measurements acquired between 2018 to 2021. We use vertical and temporal changes in retrieved φF to determine NPQ and PQ conditions. We observed NPQ in 36% of the total daytime profiles used in the φF analysis. While downwelling irradiance is a significant contributor to φF, its
role cannot be easily interpreted. Other factors such as phytoplankton photoregulation and assemblages also likely play significant roles in quenching mechanisms. We conclude that an adapted approach exploiting in-situ data is suitable to determine diurnal and seasonal NPQ occurrence, and helps develop future remote sensing algorithms.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Scopus Subject Areas:Life Sciences > Soil Science
Physical Sciences > Geology
Physical Sciences > Computers in Earth Sciences
Uncontrolled Keywords:Computers in Earth Sciences, Geology, Soil Science
Language:English
Date:1 October 2022
Deposited On:26 Jan 2023 16:04
Last Modified:25 Feb 2025 02:43
Publisher:Elsevier
ISSN:0034-4257
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1016/j.rse.2022.113198
Download PDF  'Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review'.
Preview
  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

Metadata Export

Statistics

Citations

Dimensions.ai Metrics
103 citations in Web of Science®
101 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

18 downloads since deposited on 26 Jan 2023
6 downloads since 12 months
Detailed statistics

Authors, Affiliations, Collaborations

Similar Publications