Regional mapping of gross light-use efficiency using MODIS spectral indices

dc.contributor.authorDrolet, G.G.
dc.contributor.authorMiddleton, E.M.
dc.contributor.authorHuemmrich, Karl
dc.contributor.authorHall, F.G.
dc.contributor.authorAmiro, B.D.
dc.contributor.authorBarr, A.G.
dc.contributor.authorBlack, T.A.
dc.contributor.authorMcCaughey, J.H.
dc.contributor.authorMargolis, H.A.
dc.date.accessioned2024-01-30T17:55:44Z
dc.date.available2024-01-30T17:55:44Z
dc.date.issued2008-05-02
dc.description.abstractDirect estimation of photosynthetic light-use efficiency (LUE) from space would be of significant benefit to LUE-based models which use inputs from remote sensing to estimate terrestrial productivity. The Photochemical Reflectance Index (PRI) has shown promise in tracking LUE at the leaf- to small canopy levels, but its use at regional to global scales still remains a challenge. In this study, we used different formulations of PRI calculated from the MODIS ocean band centered at 531 nm and a set of alternative reference bands at 488, 551, and 678 nm to explore the relationship between PRI and LUE where LUE was measured at eight eddy covariance flux towers located in the boreal forest of Saskatchewan, Canada. The magnitude and variability of LUE was significantly lower at the times when useful MODIS ocean band images were available (i.e. around midday under clear-sky conditions) relative to the rest of the growing season. PRI₆₇₈ (reference band at 678 nm) showed the strongest relationship (r² = 0.70) with LUE₉₀ₐ (i.e. 90-minute mean LUE calculated using Absorbed Photosynthetically Active Radiation, APAR), but only when all sites were combined. Overall, the relationships between the MODIS PRIs and LUE₉₀ₐ were always stronger for observations closer to the backscatter direction and there were no significant differences in the strength of the correlations whether LUE was calculated based on incident PAR or on APAR. Predictions of ecosystem photosynthesis at the time of the MODIS overpasses were significantly improved by multiplying either PAR or APAR by MODIS PRI (r² improved from 0.09 to 0.44 and 0.54 depending on the PRI formulation). We used our PRI-LUE model to create a regional LUE₉₀ₐ map for the three cover types covering 47,500 km² around the flux sites. The MODIS PRI-derived LUE₉₀ₐ map appeared to capture more realistic spatial heterogeneity of LUE across the landscape compared to a daily LUE map derived using the look-up table in the MODIS GPP (MOD17) algorithm. While our LUE map is only a snapshot of minimum regional LUE₉₀ₐ values, with appropriate gap-filling methods it could be used to improve regional-scale monitoring of GPP. Moreover, the strong relationship between midday and daily LUE on clear days (r² = 0.93) indicates that instantaneous MODIS observations of LUE₉₀ₐ could be used to estimate daily LUE. Finally, pixel shadow fraction from the 5-Scale geometric-optical model was closely related to both MODIS PRI and tower-derived LUE suggesting that differences in stand leaf area and in diffuse illumination among flux sites play a role in the relationship we observed between LUE and MODIS PRI.
dc.description.sponsorshipThe NASA/GSFC contribution to this study was supported by an award to E. Middleton through the NASA Carbon Cycle Science Program. The Natural Sciences and Engineering Research Council of Canada (NSERC) provided for a Ph.D. fellowship to G. Drolet. We acknowledge support provided to FCRN and BERMS by Canadian funding sources (NSERC, Canadian Foundation for Climate and Atmospheric Sciences, BIOCAP, Canadian Forest Service, Meteorological Service of Canada, Action Plan 2000, PERD, NSERC Discovery Grant to H. Margolis). We thank Louis Gonzalez and Nazmi Saleous for their support with HDFLook and the 6 S model, respectively. We are grateful to Maosheng Zhao for access to the MODIS climatological data and interpolation code that allowed us to utilize these datasets, to scientists at GMAO, especially Mahendra K. Karki, for providing GEOS-4 GMAO data, and to Nicholas Coops and Thomas Hilker for providing some pertinent data about our sites. We acknowledge Sylvain Leblanc for his help on operating the 5-Scale model, and Laura Chasmer for her measurements made at the jack pine sites. We thank Robert Knox for his useful inputs along the way. H. Margolis gratefully acknowledges sabbatical and visiting scientist support from the GEST Center of the University of Maryland, Baltimore County, Caelum Research, and the NASA Terrestrial Ecology Program.
dc.description.urihttps://www.sciencedirect.com/science/article/abs/pii/S0034425708000837
dc.format.extent15 pages
dc.genrejournal articles
dc.identifier.citationDrolet, G. G., E. M. Middleton, K. F. Huemmrich, F. G. Hall, B. D. Amiro, A. G. Barr, T. A. Black, J. H. McCaughey, and H. A. Margolis. “Regional Mapping of Gross Light-Use Efficiency Using MODIS Spectral Indices.” Remote Sensing of Environment 112, no. 6 (June 16, 2008): 3064–78. https://doi.org/10.1016/j.rse.2008.03.002.
dc.identifier.urihttps://doi.org/10.1016/j.rse.2008.03.002
dc.identifier.urihttp://hdl.handle.net/11603/31526
dc.language.isoen_US
dc.publisherElsevier
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC GESTAR II
dc.relation.ispartofUMBC Geography and Environmental Systems Department
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rightsPublic Domain Mark 1.0
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.titleRegional mapping of gross light-use efficiency using MODIS spectral indices
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0003-4148-9108

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