Next Article in Journal
Spatial-Temporal Sub-Pixel Mapping Based on Swarm Intelligence Theory
Next Article in Special Issue
Estimating and Up-Scaling Fuel Moisture and Leaf Dry Matter Content of a Temperate Humid Forest Using Multi Resolution Remote Sensing Data
Previous Article in Journal
Integrating Data of ASTER and Landsat-8 OLI (AO) for Hydrothermal Alteration Mineral Mapping in Duolong Porphyry Cu-Au Deposit, Tibetan Plateau, China
Previous Article in Special Issue
Interannual Variability in Dry Mixed-Grass Prairie Yield: A Comparison of MODIS, SPOT, and Field Measurements
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2016, 8(11), 895; doi:10.3390/rs8110895

Spaceborne Sun-Induced Vegetation Fluorescence Time Series from 2007 to 2015 Evaluated with Australian Flux Tower Measurements

1
Royal Netherlands Meteorological Institute (KNMI), R & D Satellite Observations, Utrechtseweg 297, De Bilt 3731 GA, The Netherlands
2
Institut für Umweltphysik (IUP), Universität Bremen, Otto-Hahn-Allee 1, Bremen 28359, Germany
3
Royal Meteorological Institute (KMI), Ringlaan 3, Ukkel B-1180, Belgium
4
Meteorology and Air Quality Group, Wageningen University, Droevendaalsesteeg 4, Wageningen 6708 PB, The Netherlands
5
School of Earth and Environment, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia
6
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
These authors contributed equally to this work.
*
Authors to whom correspondence should be addressed.
Academic Editors: Sangram Ganguly, Compton Tucker, Jose Moreno and Prasad S. Thenkabail
Received: 15 April 2016 / Revised: 18 October 2016 / Accepted: 24 October 2016 / Published: 29 October 2016
(This article belongs to the Special Issue Remote Sensing of Vegetation Structure and Dynamics)
View Full-Text   |   Download PDF [6636 KB, uploaded 29 October 2016]   |  

Abstract

A global, monthly averaged time series of Sun-induced Fluorescence (SiF), spanning January 2007 to June 2015, was derived from Metop-A Global Ozone Monitoring Experiment 2 (GOME-2) spectral measurements. Far-red SiF was retrieved using the filling-in of deep solar Fraunhofer lines and atmospheric absorption bands based on the general methodology described by Joiner et al, AMT, 2013. A Principal Component (PC) analysis of spectra over non-vegetated areas was performed to describe the effects of atmospheric absorption. Our implementation (SiF KNMI) is an independent algorithm and differs from the latest implementation of Joiner et al, AMT, 2013 (SiF NASA, v26), because we used desert reference areas for determining PCs (as opposed to cloudy ocean and some desert) and a wider fit window that covers water vapour and oxygen absorption bands (as opposed to only Fraunhofer lines). As a consequence, more PCs were needed (35 as opposed to 12). The two time series (SiF KNMI and SiF NASA, v26) correlate well (overall R of 0.78) except for tropical rain forests. Sensitivity experiments suggest the strong impact of the water vapour absorption band on retrieved SiF values. Furthermore, we evaluated the SiF time series with Gross Primary Productivity (GPP) derived from twelve flux towers in Australia. Correlations for individual towers range from 0.37 to 0.84. They are particularly high for managed biome types. In the de-seasonalized Australian SiF time series, the break of the Millennium Drought during local summer of 2010/2011 is clearly observed. View Full-Text
Keywords: sun-induced fluorescence; GOME-2; gross primary productivity; time series; flux towers; principal component analysis; OzFlux sun-induced fluorescence; GOME-2; gross primary productivity; time series; flux towers; principal component analysis; OzFlux
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Sanders, A.F.J.; Verstraeten, W.W.; Kooreman, M.L.; van Leth, T.C.; Beringer, J.; Joiner, J. Spaceborne Sun-Induced Vegetation Fluorescence Time Series from 2007 to 2015 Evaluated with Australian Flux Tower Measurements. Remote Sens. 2016, 8, 895.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top