TR32-Database: Database of Transregio 32

[1087] - FLD-based retrieval of sun-induced chlorophyll fluorescence from medium spectral resolution airborne spectroscopy data

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Features
Citation
Damm, A., Guanter, L., Schaepman, M., Laurent, V., Schaepman, M., Schickling, A., Rascher, U., 2011. FLD-based retrieval of sun-induced chlorophyll fluorescence from medium spectral resolution airborne spectroscopy data. Remote Sensing of Environment, 147, 256 - 266. DOI: 10.1016/j.rse.2014.03.009.
Identification
Title(s):Main Title: FLD-based retrieval of sun-induced chlorophyll fluorescence from medium spectral resolution airborne spectroscopy data
Description(s):Abstract: Sun-induced chlorophyll fluorescence (Fs) is the radiation flux emitted from chlorophyll molecules and can be used as a remote sensing (RS) observable to be linked to plant photosynthesis. Recently, significant progress has been made to quantify Fs from RS data, but both retrieval and interpretation of Fs remain challenging. In the case of airborne sensors with a medium spectral resolution (b2–4 nm), Fs is typically estimated using the Fraunhofer Line Depth (FLD) approach focusing on atmospheric O2 absorption bands. Most critical for accurate Fs retrievals based on such methods is the characterization of atmospheric scattering and absorption processes during data acquisition. So far, detailed experimental evidence on the retrieval accuracy of airborne measured Fs is lacking.Weperformed an experiment using a low-flying aircraft equipped with a non-imaging spectrometer acquiring medium spectral resolution data during the course of one day, using a repeat-track approach with changing flight altitudes. Fs in the near infrared was retrieved using a semi-empirical approach constraining the FLD based Fs retrieval from the O2-A absorption band at 760 nm by using non-fluorescent surfaces. We used a local sensitivity analysis to assess Fs retrieval biases related to observational and atmospheric parameters. Our results demonstrate a reliable Fs retrieval from airborne data using reference surfaces and indicate the need for accurate knowledge of atmospheric scattering and absorption processes. This study contributes to an estimation of the total error budget of Fs retrievals and will serve as a practical guideline for Fs retrieval schemes to be applied to medium resolution airborne spectroscopy data.
Identifier(s):DOI: 10.1016/j.rse.2014.03.009
Responsible Party
Creator(s):Author: Alexander Damm
Author: Luis Guanter
Author: Michael Schaepman
Author: V.C.E. Laurent
Author: Michael Schaepman
Author: Anke Schickling
Author: Uwe Rascher
Publisher:Elsevier
Topic
TR32 Topic:Vegetation
Subject(s):CRC/TR32 Keywords: Chlorophyll Fluorescence
File Details
File Name:Damm_etal_RSE_2014.pdf
Data Type:Text
File Size:597 kB (0.583 MB)
Date(s):Date Accepted: 2014-03-08
Mime Type:application/pdf
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:None
Measurement Location:--None--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2011
Type:Article
Source:Remote Sensing of Environment
Volume:147
Page Range:256 - 266
Metadata Details
Metadata Creator:Sandra Steinke
Metadata Created:2014-09-21
Metadata Last Updated:2014-09-21
Subproject:D2
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:169
Metadata Downloads:0
Dataset Downloads:0
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