Registro:

Referencias:

• Agati, G., Response of the in vivo chlorophyll fluorescence spectrum to environmental factors and laser excitation wavelength (1998) Pure Appl. Opt., 7 (4), p. 797
• Agati, G., Fusi, F., Mazzinghi, P., A simple approach to evaluation of the reabsorption of chlorophyll fluorescence spectra in intact leaves (1993) J. Photochem. Photobiol. B., 17, p. 163
• Andersen, H., Reutebuch, S.E., Mcgaughey, R.J., Active remote sensing (2006) Comp. Appl. Sust. F. Man., pp. 43-66
• Bah, T., Inkscape: Guide to a Vector Drawing Program (Digital Short Cut) (2009), Pearson Education 978-0-13-276414-8; Baldridge, A.M., Hook, S.J., Grove, C.I., Rivera, G., The ASTER spectral library version 2.0 (2009) Remote Sens. Environ., 113 (4), pp. 711-715
• Cendrero-Mateo, M.P., Moran, M.S., Papuga, S.A., Thorp, K.R., Alonso, L., Moreno, J., Ponce-Campos, G., Wang, G., Plant chlorophyll fluorescence: active and passive measurements at canopy and leaf scales with different nitrogen treatments (2016) J. Exp. Bot., 67 (1), pp. 275-286
• Cerovic, Z.G., Goulas, Y., Gorbunov, M., Briantais, J.M., Camenen, L., Moya, I., Fluorosensing of water stress in plants. Diurnal changes of the mean lifetime and yield of chlorophyll fluorescence measured simultaneously and at distance with a τ - LIDAR and a modified PAM-fluorimeter, in maize, sugar beet and Kalanchoë (1996) Remote Sens. Environ., 58, pp. 311-321
• Cordon, G., Lagorio, M.G., Re-absorption of chlorophyll fluorescence in leaves revisited. A comparison of correction models (2006) J. Photochem. Photobiol. Sci., 5, pp. 735-740
• Cordón, G.B., Lagorio, M.G., Optical properties of the adaxial and abaxial faces of leaves. Chlorophyll fluorescence, absorption and scattering coefficients (2007) Photochem. Photobiol. Sci., 6 (8), pp. 873-882
• Damm, A., Elbers, J., Erler, A., Gioli, B., Hamdi, K., Hutjes, R., Kosvancova, M., Rascher, U., Remote sensing of sun induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP) (2010) Glob. Chang. Biol., 16, pp. 171-186
• Daumard, F., Goulas, Y., Champagne, S., Fournier, A., Ounis, A., Olioso, A., Moya, I., Continuous monitoring of canopy level sun-induced chlorophyll fluorescence during the growth of a sorghum field (2012) IEEE Trans. Geosci. Remote Sens., 50 (11), pp. 4292-4300
• Dawson, T.P., Curran, P.J., Plummer, S.E., LIBERTY - modeling the effects of leaf biochemical concentration on reflectance spectra (1998) Remote Sens. Environ., 65 (1), pp. 50-60
• Féret, J.B., François, C., Asner, G.P., Gitelson, A.A., Martin, R.E., Bidel, L.P., Ustin, S.L., Jacquemoud, S., PROSPECT-4 and 5: advances in the leaf optical properties model separating photosynthetic pigments (2008) Remote Sens. Environ., 112 (6), pp. 3030-3043
• Fournier, A., Daumard, F., Champagne, S., Ounis, A., Goulas, Y., Moya, I., Effect of canopy structure on sun-induced chlorophyll fluorescence (2012) ISPRS J. Photogramm. Remote Sens., 68, pp. 112-120
• Franck, F., Juneau, P., Popovic, R., Resolution of the photosystem I and photosystem II contributions to chlorophyll fluorescence of intact leaves at room temperature (2002) Biochim. Biophys. Acta, 1556 (2), pp. 239-246
• Freedman, A., Cavender-Bares, J., Kebabian, P.L., Bhaskar, R., Scott, H., Bazzaz, F.A., Remote sensing of solar-excited plant fluorescence as a measure of photosynthetic rate (2002) Photosynthetica, 40, pp. 127-132
• Gastellu-Etchegorry, J.P., Grau, E., Lauret, N., (2012) DART: A 3D Model for Remote Sensing Images and Radiative Budget of Earth Surfaces in Modeling and Simulation in Engineering, , Prof. Catalin Alexandru InTech
• Gitelson, A., Buschmann, C., Lichtenthaler, H., Leaf chlorophyll fluorescence corrected for reabsorption by means of absorption and reflectance measurements (1998) J. Plant Physiol., 152, p. 283
• Goulas, Y., Ounis, A., Daumard, F., Baret, F., Chelle, M., Moya, I., Assessment of canopy fluorescence yield with airborne passive and active measurements: the Calsif Project (2014) 5th Int. Work. Rem. Sens.Veg. Fluoresc., 1
• Grace, J., Nichol, C., Disney, M., Lewis, P., Quaife, T., Bowyer, P., Can we measure terrestrial photosynthesis from space directly, using spectral reflectance and fluorescence? (2007) Glob. Ch. Biol., 13 (7), pp. 1484-1497
• Guanter, L., Alonso, L., Gómez-Chova, L., Amorós-López, J., Vila, J., Moreno, J., Estimation of solar-induced vegetation fluorescence from space measurements (2007) Geophys. Res. Lett., 34 (8)
• Guanter, L., Zhang, Y., Jung, M., Joiner, J., Voigt, M., Berry, J.A., Frankenberg, C., Griffis, T.J., Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence (2014) Proc. Natl. Acad. Sci. U. S. A., 111 (14), pp. E1327-E1333
• He, L., Chen, J.M., Liu, J., Mo, G., Joiner, J., Angular normalization of GOME-2 sun-induced chlorophyll fluorescence observation as a better proxy of vegetation productivity (2017) Geophys. Res. Lett., 44 (11), pp. 5691-5699
• Hosgood, B., Jacquemoud, S., Andreoli, G., Verdebout, J., Pedrini, G., Schmuck, G., Leaf optical Properties Experiment 93 (LOPEX93) (1995), http://opticleaf.ipgp.fr, Ispra Italy; Iriel, A., Mendes Novo, J., Cordon, G.B., Lagorio, M.G., Atrazine and methyl viologen effects on chlorophyll-a fluorescence revisited. Implications in photosystems emission and ecotoxicity (2014) J. Photochem. Photobiol., 90, p. 107
• Jacquemoud, S., Baret, F., PROSPECT: a model of leaf optical properties spectra (1990) Remote Sens. Environ., 34, pp. 75-91
• Jacquemoud, S., Bacour, C., Poilve, H., Frangi, J.P., Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode (2000) Remote Sens. Environ., 74 (3), pp. 471-481
• Jacquemoud, S., Verhoef, W., Baret, F., Bacour, C., Zarco-Tejada, P.L., Asner, G.P., François, C., Ustin, S.L., PROSPECT + SAIL models: a review of use for vegetation characterization (2009) Remote Sens. Environ., 113, pp. S56-S66
• Joiner, J., Yoshida, Y., Vasilkov, A.P., Middleton, E.M., Campbell, P.K.E., Yoshida, Y., Kuze, A., Corp, L.A., Filling-in of near-infrared solar lines by terrestrial fluorescence and other geophysical effects: simulations and space-based observations from SCIAMACHY and GOSAT (2012) Atmos. Meas. Tech., 5 (4), pp. 809-829
• Julitta, T., Corp, L.A., Rossini, M., Burkart, A., Cogliati, S., Davies, N., Hom, M., Colombo, R., Comparison of sun-induced chlorophyll fluorescence estimates obtained from four portable field spectroradiometer (2016) Remote Sens., 8 (2), p. 122. , (doi:10.3390/rs8020122)
• Kokaly, R.F., Clark, R.N., Swayze, G.A., Livo, K.E., Hoefen, T.M., Pearson, N.C., Wise, R.A., Klein, A.J., USGS spectral library version 7 (2017) Us Geog. Surv.
• Lagorio, M.G., Dicelio, L., Litter, M., San Román, E., Modeling of fluorescence quantum yields of supported dyes. Aluminum carboxyphthalocyanine on cellulose (1998) J. Chem. Soc. Faraday Trans., 94, pp. 419-425
• Lichtenthaler, H.K., Buschmann, C., Knapp, C., How to correctly determine the different chlorophyll fluorescence parameters and the chlorophyll fluorescence decrease ratio RFd of leaves with the PAM fluorometer (2005) Photosynthetica, 43 (3), pp. 379-393
• Ligot, G., Balandier, P., Courbaud, B., Claessens, H., Forest radiative transfer models: which approach for which application? (2014) Can. J. For. Res., 44 (5), pp. 385-397
• Liu, L., Liu, X., Wang, Z., Zhang, B., Measurement and analysis of bidirectional SIF emissions in wheat canopies (2016) IEEE Trans. Geosci. Rem. Sens., 54 (5), pp. 2640-2651
• Louis, J., Ounis, A., Ducruet, J.-M., Evain, S., Laurila, T., Thum, T., Aurela, M., Moya, I., Remote sensing of sunlight-induced chlorophyll fluorescence and reflectance of Scots pine in the boreal forest during spring recovery (2005) Remote Sens. Environ., 96, pp. 37-48
• Maxwell, K., Johnson, G.N., Chlorophyll fluorescence — a practical guide (2000) J. Exp. Bot., 51 (345), pp. 659-668
• Mazzinghi, P., Agati, G., Fusi, F., (1994) Interpretation and Physiological Significance of Blue-green and Red Vegetation Fluorescence in International Geoscience and Remote Sensing Symposium (IGARSS) '94, p. 640. , T.I. Stein (Pasadena, CA)
• Meroni, M., Colombo, R., Leaf level detection of solar induced chlorophyll fluorescence by means of a subnanometer resolution spectroradiometer (2006) Remote Sens. Environ., 103, pp. 438-448
• Meroni, M., Rossini, M., Guanter, L., Alonso, L., Rascher, U., Colombo, R., Moreno, J., Remote sensing of solar-induced chlorophyll fluorescence: review of methods and applications (2009) Remote Sens. Environ., 113, pp. 2037-2051
• Migliavacca, M., Perez-Priego, O., Rossini, M., El-Madany, T.S., Moreno, G., van der Tol, C., Rascher, U., Reichstein, M., Plant functional traits and canopy structure control the relationship between photosynthetic CO2 uptake and far-red sun-induced fluorescence in a Mediterranean grassland under different nutrient availability (2017) New Phytol., 214, pp. 1078-1091
• Moya, I., Cerovic, Z., (2004) Remote Sensing of Chlorophyll Fluorescence: Instrumentation and Analysis. Chlorophyll-a Fluorescence: A Signature of Photosynthesis, pp. 429-445. , G.C. Papageorgiou Springer Dordrecht, The Netherlands (doi:10.1007/978-1-4020-3218-9_16)
• North, P.R.J., Three-dimensional forest light interaction model using a Monte Carlo method (1996) IEEE Trans. Geosc. Rem. Sens., 34, pp. 946-956
• Ounis, A., Bach, J., Mahjoub, A., Daumard, F., Moya, I., Goulas, Y., A new airborne LiDAR for remote sensing of canopy fluorescence and vertical profile (2016) EPJ Web of Conferences, 119
• Pedrós, R., Goulas, Y., Jacquemoud, S., Louis, J., Moya, I., FluorMODleaf: a new leaf fluorescence emission model based on the PROSPECT model (2010) Remote Sens. Environ., 114, pp. 155-167
• Pfündel, E., Estimating the contribution of photosystem I to total leaf chlorophyll fluorescence (1998) Photosynth. Res., 56, p. 185. , (doi:10.1023/A:1006032804606)
• Pinto, F., Müller-Linow, M., Schickling, A., Cendrero-Mateo, M.P., Ballvora, A., Rascher, U., Multiangular observation of canopy sun-induced chlorophyll fluorescence by combining imaging spectroscopy and stereoscopy (2017) Remote Sens., 9, p. 415
• Porcar-Castell, A., Tyystjärvi, E., Atherton, J., van der Tol, C., Flexas, J., Pfündel, E.E., Erhard, E., Berry, J.A., (2014) J. Exp. Bot., , https://doi.org/10.1093/jxb/eru191, Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges. doi: (eru191)
• Ramos, M.E., Lagorio, M.G., True fluorescence spectra of leaves (2004) J. Photochem. Photobiol. Sci., 3, p. 1063. , (doi:10.1039/B406525E)
• Ramos, M.E., Lagorio, M.G., A model considering light reabsorption processes to correct in vivo chlorophyll fluorescence spectra in apples (2006) Photochem. Photobiol. Sci., 5, pp. 508-512
• Rascher, U., CEFLES2: the remote sensing component to quantify photosynthetic efficiency from the leaf to the region by measuring sun-induced fluorescence in the oxygen absorption bands (2009) Biogeosci. Discuss., 6 (1)
• Rienzo, J.A., Di, Casanoves, F., Balzarini, M.G., Gonzalez, L., Tablada, M., Robledo, Y.C., InfoStat Versión 2011. Grupo InfoStat, FCA (2011), 8, pp. 195-199. , Universidad Nacional de Córdoba Argentina; Rossini, M., Meroni, M., Celesti, M., Cogliati, S., Julitta, T., Panigada, C., Rascher, U., Colombo, R., Analysis of red and far-red sun-induced chlorophyll fluorescence and their ratio in different canopies based on observed and modeled data (2016) Remote Sens., 8 (5), p. 412
• Stuckens, J., Verstraeten, W.W., Delalieux, S., Swennen, R., Coppin, P., A dorsiventral leaf radiative transfer model: development, validation and improved model inversion techniques (2009) Remote Sens. Environ., 113, pp. 2560-2573
• Vilfan, N., van der Tol, C., Muller, O., Rascher, U., Verhoef, W., Fluspect-B: a model for leaf fluorescence, reflectance and transmittance spectra (2016) Remote Sens. Environ., 186, pp. 596-615
• van der Walt, S., Colbert, S.C., Varoquaux, G., The NumPy array: a structure for efficient numerical computation (2011) Comput. Sci. Eng., 13 (2), pp. 22-30
• Wittenberghe, S., van, Alonso, L., Verrelst, J., Hermans, I., Valcke, R., Veroustraete, F., Moreno, J., Samson, R., A field study on solar-induced chlorophyll fluorescence and pigment parameters along a vertical canopy gradient of four tree species in an urban environment (2014) Sci. Total Environ., 466, pp. 185-194
• Zelle, J.M., Python Programming: An Introduction to Computer Science (2004), Franklin, Beedle & Associates Inc; Zhao, F., Dai, X., Verhoef, W., Guo, Y., van der Tol, C., Li, Y., Huang, Y., FluorWPS: a Monte Carlo ray-tracing model to compute sun-induced chlorophyll fluorescence of three-dimensional canopy (2016) Remote Sens. Environ., 187, pp. 385-399

Citas:

---------- APA ----------

---------- CHICAGO ----------

---------- MLA ----------

---------- VANCOUVER ----------