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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.<\/jats:p>","DOI":"10.3390\/rs8110895","type":"journal-article","created":{"date-parts":[[2016,10,31]],"date-time":"2016-10-31T11:09:46Z","timestamp":1477912186000},"page":"895","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":47,"title":["Spaceborne Sun-Induced Vegetation Fluorescence Time Series from 2007 to 2015 Evaluated with Australian Flux Tower Measurements"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9915-0209","authenticated-orcid":false,"given":"Abram","family":"Sanders","sequence":"first","affiliation":[{"name":"Royal Netherlands Meteorological Institute (KNMI), R &amp; D Satellite Observations, Utrechtseweg 297, De Bilt 3731 GA, The Netherlands"},{"name":"Institut f\u00fcr Umweltphysik (IUP), Universit\u00e4t Bremen, Otto-Hahn-Allee 1, Bremen 28359, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7222-5212","authenticated-orcid":false,"given":"Willem","family":"Verstraeten","sequence":"additional","affiliation":[{"name":"Royal Netherlands Meteorological Institute (KNMI), R &amp; D Satellite Observations, Utrechtseweg 297, De Bilt 3731 GA, The Netherlands"},{"name":"Royal Meteorological Institute (KMI), Ringlaan 3, Ukkel B-1180, Belgium"},{"name":"Meteorology and Air Quality Group, Wageningen University, Droevendaalsesteeg 4, Wageningen 6708 PB, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maurits","family":"Kooreman","sequence":"additional","affiliation":[{"name":"Royal Netherlands Meteorological Institute (KNMI), R &amp; D Satellite Observations, Utrechtseweg 297, De Bilt 3731 GA, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1597-6041","authenticated-orcid":false,"given":"Thomas","family":"Van Leth","sequence":"additional","affiliation":[{"name":"Royal Netherlands Meteorological Institute (KNMI), R &amp; D Satellite Observations, Utrechtseweg 297, De Bilt 3731 GA, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jason","family":"Beringer","sequence":"additional","affiliation":[{"name":"School of Earth and Environment, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joanna","family":"Joiner","sequence":"additional","affiliation":[{"name":"NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2016,10,29]]},"reference":[{"key":"ref_1","unstructured":"Ciais, P., Sabine, C., Bala, G., Bopp, L., Brovkin, V., Canadell, J., Chhabra, A., DeFries, R., Galloway, J., and Heimann, M. (2013). Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3337","DOI":"10.1175\/JCLI3800.1","article-title":"Climate-carbon cycle feedback analysis, results from the C4 26 MIP model intercomparison","volume":"19","author":"Friedlingstein","year":"2006","journal-title":"J. Clim."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Piao, S., Sitch, S., Ciais, P., Friedlingstein, P., Peylin, P., Wang, X., Ahlstr\u00f6m, A., Anav, A., Canadell, J.G., and Cong, N. (2013). Evaluation of terrestrial carbon cycle models for their response to climate variability and to CO2 trends. Glob. Chang. Biol.","DOI":"10.1111\/gcb.12187"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2415","DOI":"10.1175\/1520-0477(2001)082<2415:FANTTS>2.3.CO;2","article-title":"FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities","volume":"82","author":"Baldocchi","year":"2001","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"821","DOI":"10.1016\/j.agrformet.2007.11.012","article-title":"Cross-site evaluation of eddy covariance GPP and RE decomposition techniques","volume":"148","author":"Desai","year":"2008","journal-title":"Agric. For. Meteorol."},{"key":"ref_6","first-page":"G00J07","article-title":"Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations","volume":"116","author":"Jung","year":"2011","journal-title":"J. Geophys. Res."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1002\/joc.893","article-title":"The evolution of, and revolution in, land surface schemes designed for climate models","volume":"23","author":"Pitman","year":"2003","journal-title":"Int. J. Climatol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1560","DOI":"10.1126\/science.1082750","article-title":"Climate-driven increases in global terrestrial net primary production from 1982 to 1999","volume":"300","author":"Nemani","year":"2003","journal-title":"Science"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"B4017","DOI":"10.1029\/2011GB004053","article-title":"Integration of MODIS land and atmosphere products with a coupled-process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales","volume":"25","author":"Ryu","year":"2011","journal-title":"Glob. Biogeochem. Cycles"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1177\/0309133313490006","article-title":"Response of savanna gross primary productivity to interannual variability in rainfall: Results of a remote sensing based light use efficiency model","volume":"37","author":"Kanniah","year":"2013","journal-title":"Prog. Phys. Geogr."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1016\/j.rse.2014.08.025","article-title":"Parameterization of an ecosystem light-use-efficiency model for predicting savanna GPP using MODIS EVI","volume":"154","author":"Ma","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_12","unstructured":"Rouse, J.W., Haas, R.H., Schell, J.A., and Deering, D.W. (1973). Monitoring Vegetation Systems in the Great Plains with ERTS, NASA. Third ERTS Symposium, NASA SP-351."},{"key":"ref_13","unstructured":"Rouse, J.W., Haas, R.H., Schell, J.A., Deering, D.W., and Harlan, J.C. (1974). Monitoring the Vernal Advancement and Retro-Gradation (Greenwave Effect) of Natural Vegetation, NASA. NASA\/GSFC Type III Final Report."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/0034-4257(79)90013-0","article-title":"Red and photographic infrared linear combinations for monitoring vegetation","volume":"8","author":"Tucker","year":"1979","journal-title":"Remote Sens. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"747","DOI":"10.2307\/2401901","article-title":"Solar-radiation and productivity in tropical ecosystems","volume":"9","author":"Monteith","year":"1972","journal-title":"J. Appl. Ecol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1007\/BF00386231","article-title":"A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species","volume":"149","author":"Farquhar","year":"1980","journal-title":"Planta"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1016\/S0034-4257(02)00043-3","article-title":"Estimation of carbon mass fluxes over Europe using the C-Fix model and Euroflux data","volume":"83","author":"Veroustraete","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_18","first-page":"G03034","article-title":"Combined simple biosphere\/Carnegie-Ames-Stanford approach terrestrial carbon cycle model","volume":"113","author":"Schaefer","year":"2008","journal-title":"J. Geophys. Res."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.ecolmodel.2006.06.008","article-title":"On temperature and water limitation of net ecosystem productivity: Implementation in the C-Fix model","volume":"199","author":"Verstraeten","year":"2006","journal-title":"Ecol. Model."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1007\/s10584-010-9920-8","article-title":"Impact assessment of remotely sensed soil moisture on ecosystem carbon fluxes across Europe","volume":"103","author":"Verstraeten","year":"2010","journal-title":"Clim. Chang."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2803","DOI":"10.5194\/amt-6-2803-2013","article-title":"Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: Methodology, simulations, and application to GOME-2","volume":"6","author":"Joiner","year":"2013","journal-title":"Atmos. Meas. Tech."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"024008","DOI":"10.1088\/1748-9326\/5\/2\/024008","article-title":"Drought-induced vegetation stress in southwestern North America","volume":"5","author":"Zhang","year":"2010","journal-title":"Environ. Res. Lett."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1038\/nature10421","article-title":"Interannual variability in the oxygen isotopes of atmospheric CO2 driven by El Nino","volume":"477","author":"Welp","year":"2011","journal-title":"Nature"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1429","DOI":"10.1016\/j.agrformet.2011.06.009","article-title":"Environmental controls on the spatial variability of savanna productivity in the Northern Territory, Australia","volume":"151","author":"Kanniah","year":"2011","journal-title":"Agric. For. Meteorol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1039\/b719506k","article-title":"Chlorophyll fluorescence emission spectrum inside a leaf","volume":"7","author":"Pedros","year":"2008","journal-title":"Photochem. Photobiol. Sci."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.rse.2013.01.017","article-title":"Using field spectroscopy to assess the potential of statistical approaches for the retrieval of sun-induced chlorophyll fluorescence from ground and space","volume":"133","author":"Guanter","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1016\/j.rse.2011.10.007","article-title":"Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera","volume":"117","author":"Berni","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2037","DOI":"10.1016\/j.rse.2009.05.003","article-title":"Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications","volume":"113","author":"Meroni","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1146\/annurev.arplant.59.032607.092759","article-title":"Chlorophyll fluorescence: A probe of photosynthesis in vivo","volume":"59","author":"Baker","year":"2008","journal-title":"Ann. Rev. Plant Biol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2725","DOI":"10.5194\/amt-6-2725-2013","article-title":"Retrieval of aerosol parameters from the oxygen A band in the presence of chlorophyll fluorescence","volume":"6","author":"Sanders","year":"2013","journal-title":"Atmos. Meas. Tech."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2081","DOI":"10.5194\/amt-5-2081-2012","article-title":"Remote sensing of near-infrared chlorophyll fluorescence from space in scattering atmospheres: Implications for its retrieval and interferences with atmospheric CO2 retrievals","volume":"5","author":"Frankenberg","year":"2012","journal-title":"Atmos. Meas. Tech."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"637","DOI":"10.5194\/bg-8-637-2011","article-title":"First observations of global and seasonal terrestrial chlorophyll fluorescence from space","volume":"8","author":"Joiner","year":"2011","journal-title":"Biogeosciences"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"809","DOI":"10.5194\/amt-5-809-2012","article-title":"Filling-in of near-infrared solar lines by terrestrial fluorescence and other geophysical effects: Simulations and space-based observations from SCIAMACHY and GOSAT","volume":"5","author":"Joiner","year":"2012","journal-title":"Atmos. Meas. Tech."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"L17706","DOI":"10.1029\/2011GL048738","article-title":"New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity","volume":"38","author":"Frankenberg","year":"2011","journal-title":"Geophys. Res. Lett."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.rse.2012.02.006","article-title":"Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements","volume":"121","author":"Guanter","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"2589","DOI":"10.5194\/amt-8-2589-2015","article-title":"A linear method for the retrieval of sun-induced chlorophyll fluorescence from GOME-2 and SCIAMACHY Data","volume":"8","author":"Guanter","year":"2015","journal-title":"Atmos. Meas. Tech."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"78","DOI":"10.3389\/fenvs.2015.00078","article-title":"Retrieval of terrestrial plant fluorescence based on the in-filling of far-red Fraunhofer lines using SCIAMACHY observations","volume":"3","author":"Khosravi","year":"2015","journal-title":"Front. Environ. Sci."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2014.02.007","article-title":"Prospects for chlorophyll fluorescence remote sensing from the Orbiting Carbon Observatory-2","volume":"147","author":"Frankenberg","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1337","DOI":"10.5194\/amt-8-1337-2015","article-title":"Potential of the TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 Precursor for the monitoring of terrestrial chlorophyll fluorescence","volume":"8","author":"Guanter","year":"2015","journal-title":"Atmos. Meas. Tech."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Kraft, S., Del Bello, U., Bouvet, M., Drusch, M., and Moreno, J. (2012, January 22\u201327). FLEX: ESA\u2019s Earth Explorer 8 candidate mission. Proceedings of 2012 IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany.","DOI":"10.1109\/IGARSS.2012.6352020"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"L08401","DOI":"10.1029\/2007GL029289","article-title":"Estimation of solar-induced vegetation fluorescence from space measurements","volume":"34","author":"Guanter","year":"2007","journal-title":"Geophys. Res. Lett."},{"key":"ref_42","first-page":"D19303","article-title":"Developments for vegetation florescence retrieval from spaceborne high-resolution spectrometry in the O2-A and O2-B absorption bands","volume":"115","author":"Guanter","year":"2010","journal-title":"J. Geophys. Res."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"L03801","DOI":"10.1029\/2010GL045896","article-title":"Disentangling chlorophyll fluorescence from atmospheric scattering effects in O2 A-band spectra of reflected sun-light","volume":"38","author":"Frankenberg","year":"2011","journal-title":"Geophys. Res. Lett."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.agrformet.2008.07.007","article-title":"A model for chlorophyll fluorescence and photosynthesis at leaf scale","volume":"149","author":"Verhoef","year":"2009","journal-title":"Agric. For. Meteorol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1882","DOI":"10.1016\/j.rse.2011.03.011","article-title":"Far-red sun-induced chlorophyll fluorescence shows ecosystem-specific relationships to gross primary production: An assessment based on observational and modeling approaches","volume":"115","author":"Damm","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Lee, J.-E., Frankenberg, C., van der Tol, C., Berry, J.A., Guanter, L., Boyce, C.K., Fisher, J.B., Morrow, E., Worden, J.R., and Asefi, S. (2013). Forest productivity and water stress in Amazonia: Observations from GOSAT chlorophyll fluorescence. Proc. R. Soc. B Biol. Sci.","DOI":"10.1098\/rspb.2013.0171"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1111\/j.1365-2486.2009.01908.x","article-title":"Remote sensing of sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP)","volume":"16","author":"Damm","year":"2010","journal-title":"Glob. Chang. Biol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1211","DOI":"10.1890\/15-1434","article-title":"Comparison of solar-induced chlorophyll fluorescence, light-use efficiency, and process-based GPP models in maize","volume":"26","author":"Wagle","year":"2016","journal-title":"Ecol. Appl."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"2977","DOI":"10.1002\/2015GL063201","article-title":"Solar-induced chlorophyll fluorescence that correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest","volume":"42","author":"Yang","year":"2015","journal-title":"Geophys. Res. Lett."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.rse.2016.05.015","article-title":"Consistency between sun-induced chlorophyll fluorescence and gross primary production of vegetation in North America","volume":"183","author":"Zhang","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Rossini, M., Meroni, M., Celesti, M., Cogliati, S., Julitta, T., Panigada, C., Rascher, U., van der Tol, C., and Colombo, R. (2016). Analysis of red and far-red sun-induced chlorophyll fluorescence and their ratio in different canopies based on observed and modeled data. Remote Sens., 8.","DOI":"10.3390\/rs8050412"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"4065","DOI":"10.1093\/jxb\/eru191","article-title":"Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: Mechanisms and challenges","volume":"65","author":"Atherton","year":"2014","journal-title":"J. Exp. Bot."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"E1327","DOI":"10.1073\/pnas.1320008111","article-title":"Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence","volume":"111","author":"Guanter","year":"2014","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1016\/j.rse.2014.06.022","article-title":"The seasonal cycle of satellite chlorophyll fluorescence observations and its relationship to vegetation phenology and ecosystem atmosphere carbon exchange","volume":"152","author":"Joiner","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_55","first-page":"28","article-title":"GOME-2\u2014MetOp\u2019s second generation sensor for operational ozone monitoring","volume":"102","author":"Callies","year":"2000","journal-title":"ESA Bull."},{"key":"ref_56","unstructured":"Thomas, G.E., and Stamnes, K. (2002). Radiative Transfer in the Atmosphere and Ocean, Cambridge University Press."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"582","DOI":"10.1016\/S0034-4257(00)00148-6","article-title":"Chlorophyll fluorescence effects on vegetation apparent reflectance: I. Leaf-level measurements and model simulation","volume":"74","author":"Miller","year":"2000","journal-title":"Remote Sens. Environ."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1016\/j.jqsrt.2010.01.036","article-title":"An improved high-resolution solar reference spectrum for earth\u2019s atmosphere measurements in the ultraviolet, visible, and near infrared","volume":"111","author":"Chance","year":"2010","journal-title":"J. Quant. Spectrosc. Radiat."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"3939","DOI":"10.5194\/amt-9-3939-2016","article-title":"New methods for retrieval of chlorophyll red fluorescence from hyper-spectral satellite instruments: Simulations and application to GOME-2 and SCIAMACHY","volume":"9","author":"Joiner","year":"2016","journal-title":"Atmos. Meas. Tech."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"3475","DOI":"10.1029\/2000JD900657","article-title":"A fast method for retrieval of cloud parameters using oxygen A band measurements from the Global Ozone Monitoring Experiment","volume":"106","author":"Koelemeijer","year":"2001","journal-title":"J. Geophys. Res."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"6565","DOI":"10.5194\/acp-8-6565-2008","article-title":"FRESCO+: An improved O2 A-band cloud retrieval algorithm for tropospheric trace gas retrievals","volume":"8","author":"Wang","year":"2008","journal-title":"Atmos. Chem. Phys."},{"key":"ref_62","unstructured":"Krishnaiah, P.R. (1966). Multivariate Analysis, Academic Press."},{"key":"ref_63","unstructured":"Krishnaiah, P.R. Nonlinear Iterative Partial Least Squares (NIPALS) modeling: Some current developments. Multivariate Analysis II, Proceedings of the International Symposium on Multivariate Analysis, Wright State University, Dayton, OH, USA."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1016\/j.rse.2004.02.012","article-title":"A new instrument for passive remote sensing 1. Measurements of sunlight-induced chlorophyll fluorescence","volume":"91","author":"Moya","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1283","DOI":"10.1016\/j.agrformet.2010.05.011","article-title":"High resolution field spectroscopy measurements for estimating gross ecosystem production in a rice field","volume":"150","author":"Rossini","year":"2010","journal-title":"Agric. For. Meteorol."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1769","DOI":"10.1080\/01431161.2014.882035","article-title":"A temperature-controlled spectrometer system for continuous and unattended measurements of canopy spectral radiance and reflectance","volume":"35","author":"Drolet","year":"2014","journal-title":"Int. J. Remote Sens."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"1262","DOI":"10.1016\/j.rse.2009.02.016","article-title":"Imaging chlorophyll fluorescence with an airborne narrow-band multispectral camera for vegetation stress detection","volume":"113","author":"Berni","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.rse.2013.05.011","article-title":"Relationships between net photosynthesis and steady-state chlorophyll fluorescence retrieved from airborne hyperspectral imagery","volume":"136","author":"Catalina","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1038\/nature13006","article-title":"Amazon forests maintain consistent canopy structure and greenness during the dry season","volume":"506","author":"Morton","year":"2014","journal-title":"Nature"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/S0034-4257(02)00018-4","article-title":"Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture","volume":"81","author":"Haboudane","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1016\/j.rse.2014.09.007","article-title":"Evaluation of the remote-sensing-based DIFFUSE model for estimating photosynthesis of vegetation","volume":"155","author":"Donohue","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Beringer, J., Hutley, L.B., McHugh, I., Arndt, S.K., Campbell, D., Cleugh, H.A., Cleverly, J., Resco de Dios, V., Eamus, D., and Evans, B. (2016). An introduction to the Australian and New Zealand flux tower network\u2014OzFlux. Biogeosci. Discuss., in preparation for OzFlux Special Issue.","DOI":"10.5194\/bg-13-5895-2016"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"1409","DOI":"10.1016\/j.agrformet.2011.05.003","article-title":"Patterns and processes of carbon, water and energy cycles across northern Australian landscapes: From point to region","volume":"151","author":"Beringer","year":"2011","journal-title":"Agric. For. Meteorol."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"1417","DOI":"10.1016\/j.agrformet.2011.03.002","article-title":"A sub-continental scale living laboratory: Spatial patterns of savanna vegetation over a rainfall gradient in northern Australia","volume":"151","author":"Hutley","year":"2011","journal-title":"Agric. For. Meteorol."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"2312","DOI":"10.1002\/2014JG002713","article-title":"Models of fluorescence and photosynthesis for interpreting measurements of solar-induced chlorophyll fluorescence. Journal of Geophysical Research","volume":"119","author":"Berry","year":"2014","journal-title":"Biogeosciences"},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"3145","DOI":"10.1175\/JCLI-D-13-00322.1","article-title":"Did climate change-induced rainfall trends contribute to the Australian millennium drought?","volume":"27","author":"Cai","year":"2014","journal-title":"J. Clim."},{"key":"ref_77","unstructured":"Australian Bureau of Meteorology Record-Breaking La Ni\u00f1a Events: An Analysis of the La Ni\u00f1a Life Cycle and the Impacts and Significance of the 2010\u20132011 and 2011\u20132012 La Ni\u00f1a Events in Australia; Published by the Bureau of Meteorology, July 2012, Available online: http:\/\/www.bom.gov.au."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1038\/nature13376","article-title":"Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle","volume":"509","author":"Poulter","year":"2014","journal-title":"Nature"},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"895","DOI":"10.1126\/science.aaa1668","article-title":"Carbon cycle. The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink","volume":"348","author":"Raupach","year":"2015","journal-title":"Science"},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Haverd, V., Smith, B., and Trudinger, C. (2015). Dryland vegetation response to wet episode, not inherent shift in sensitivity to rainfall, behind Australia\u2019s role in 2011 global carbon sink anomaly. Glob. Chang. Biol.","DOI":"10.1111\/gcb.13202"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"2427","DOI":"10.1002\/2015JG003150","article-title":"Drought onset mechanisms revealed by satellite solar-induced chlorophyll fluorescence: Insights from two contrasting extreme events","volume":"120","author":"Sun","year":"2015","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.rse.2015.06.008","article-title":"The 2010 Russian drought impact on satellite measurements of solar-induced chlorophyll fluorescence: Insights from modeling and comparisons with parameters derived from satellite reflectances","volume":"166","author":"Yoshida","year":"2015","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/11\/895\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:34:18Z","timestamp":1760211258000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/11\/895"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10,29]]},"references-count":82,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2016,11]]}},"alternative-id":["rs8110895"],"URL":"https:\/\/doi.org\/10.3390\/rs8110895","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,10,29]]}}}