OPEN ACCESS remote sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Supplementary Information Spatiotemporal Variation in Mangrove Chlorophyll Concentration Using Landsat 8. Remote Sens. 2015, 7, pp–pp. Julio Pastor-Guzman 1, Peter M. Atkinson 1,2,3,4,†, Jadunandan Dash 1,* and Rodolfo Rioja-Nieto 5 1 2 3 4 5 † Global Environmental Change and Earth Observation Research Group, Geography and Environment, University of Southampton, Southampton SO17 1BJ, UK; E-Mails: [email protected] (J.P.-G.); [email protected] (P.M.A.) Faculty of Science and Technology, Lancaster University, Lancaster LA1 4YR, UK Faculty of Geosciences, University of Utrecht, Heidelberglaan 2, Utrecht CS 3584, The Netherlands School of Geography, Archaeology and Palaeoecology, Queen’s University Belfast, Belfast BT7 1NN, Northern Ireland, UK National Autonomous University of Mexico, Academic Unit Sisal, Faculty of Sciences, Sisal, Yucatan 97355, Mexico; E-Mail: [email protected] The author contributed equally to this work. * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +23-8059-7347. Spatiotemporal variation in mangrove chlorophyll concentration using Landsat 8. Table S1. Calibration equations reported in the literature. R2 Author 0.94 [1] 0.96 [2] (117.1 × SPAD)/(148.84 − SPAD) 0.89 [3] 46.447 × e0.044×SPAD 0.89 [4] (SPAD − 22.7)/0.57 0.68 [5] − 92.91 0.93 [6] (138 × SPAD)/(185 − SPAD) 0.88 [7] 62.05 × e0.0408×SPAD 0.79 [8] (0.0008 × SPAD) 0.82 [9] 0.99 [10] 0.91 [11] Equation SPAD0.265 10 0.000552 + 0.000404 × SPAD + 0.0000125 × SPAD 0.0103×SPAD 87.889 × e 2 0.0419 × SPAD + 1.6475 × SPAD + 1.523 13.97 + 3.41 × 𝑆𝑃𝐴𝐷 + 0.11 × 𝑆𝑃𝐴𝐷 2 2 S2 Figure S1. Comparison of estimated Chl (μg·cm−2) values from different calibration equations available in the literature. This study used the Connelly [30] equation because it is based on R. mangle, the dominant species in the study area. Note: Cerovic et al. [59] presented two equations in their paper, one derived from their analysis and one consensus equation based on eight models. In this plot Cerovic 2012* (blue dotted line) refers to the consensus equation. References: 1. 2. 3. 4. 5. 6. 7. Markwell, J.; Osterman, J.C.; Mitchell, J.L. Calibration of the Minolta SPAD-502 leaf chlorophyll meter. Photosynth. Res. 1995, 46, 467–472. Richardson, A.D.; Duigan, S.P.; Berlyn, G.P. An evaluation of noninvasive methods to estimate foliar chlorophyll content. New Phytol. 2002, 153, 185–194. Coste, S.; Baraloto, C.; Leroy, C.; Marcon, É.; Renaud, A.; Richardson, A.D.; Roggy, J.-C.; Schimann, H.; Uddling, J.; Hérault, B. Assessing foliar chlorophyll contents with the SPAD-502 chlorophyll meter: A calibration test with thirteen tree species of tropical rainforest in French Guiana. Ann. For. Sci. 2010, 67, 607–607. Mielke, M.S.; Schaffer, B.; Li, C. Use of a SPAD meter to estimate chlorophyll content in Eugenia Uniflora L. leaves as affected by contrasting light environments and soil flooding. Photosynthetica 2010, 48, 332–338. Connelly, X.M. The Use of a chlorophyll meter (SPAD-502) for field determinations of red mangrove (Rhizophora Mangle L.) leaf chlorophyll amount. NASA Univ. Res. Cent. Tech. Adv. Educ. Aeronaut. Space Auton. Earth Environ. 1997, 1, 198–190. Houborg, R.; Anderson, M.C. Utility of an image-based canopy reflectance modeling tool for remote estimation of LAI and leaf chlorophyll content at regional scales. J. Appl. Remote Sens. 2009, 3, 29–29. Cerovic, Z.G.; Masdoumier, G.; Ghozlen, N.B.; Latouche, G. A new optical leaf-clip meter for simultaneous non-destructive assessment of leaf chlorophyll and epidermal flavonoids. Physiol. Plant. 2012, 146, 251–260. 2 S3 8. Marenco, R.A.; Antezana-Vera, S.A.; Nascimento, H.C.S. Relationship between specific leaf area, leaf thickness, leaf water content and SPAD-502 readings in six Amazonian tree species. Photosynthetica 2009, 47, 184–190. 9. Rücker, G. R.; Wouter, A. D.; Lamers, J.; Ibragimov, N.; Kienzler, K.; Strunz, G.; Mueller, A.; Vlek, P. L. Regional estimation of leaf chlorophyll in cotton in Uzbekistan by upscaling a vegetation index from plant scale to PROBA-1/CHRIS hyperspectral satellite data. In Proceedings of the 4th ESA Proba-1/CHRIS Workshop; Frascati, Esrin, Italy, April 2006; pp. 1–8. 10. Ling, Q.; Huang, W.; Jarvis, P. Use of a SPAD-502 meter to measure leaf chlorophyll concentration in Arabidopsis thaliana. Photosynth. Res. 2011, 107, 209–214. 11. Brito, G. G.; Sofiatti, V.; Brandão, Z. N.; Silva, V. B.; Silva, F. M.; Silva, D. A. Non-destructive analysis of photosynthetic pigments in cotton plants. Acta Sci. Agron. 2011, 33, 671–678. © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). 3
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