Monitoring photosynthesis from space

Land Resources Monitoring, Modeling, and Mapping with Remote Sensing

Volumn , Issue , 2015, Pages 3-22

  Huete, Alfredo ^a   Ponce Campos, Guillermo ^b   Zhang, Yongguang ^c   Restrepo Coupe, Natalia ^a   Ma, Xuanlong ^a   Moran, Mary Susan ^b  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^b CARL HAYDEN BEE RESEARCH CENTER   (United States)

^c FREIE UNIVERSITÄT BERLIN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BIOGEOCHEMISTRY; BIOLOGICAL MATERIALS; BUDGET CONTROL; CARBON DIOXIDE; CLIMATE CHANGE; PHOTOSYNTHESIS; VEGETATION;

CARBON BALANCE; CARBON FIXATION; GROSS PRIMARY PRODUCTIVITY; NET PRIMARY PRODUCTION; PLANT PRODUCTIVITY; RESOURCE CONSTRAINT; TERRESTRIAL BIOSPHERE; VEGETATION PRODUCTIVITY;

ORGANIC CARBON;

EID: 84975157208     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/b19322     Document Type: Chapter

References (123)

1. Ahl, D.E., Gower, S.T., Mackay, D.S., Burrows, S.N., Norman, J.M., and Diak, G.R. 2004. Heterogeneity of light use effici cy in a northern Wisconsin forest: Implications for modeling net primary production with remote sensing. Remote Sensing of Environment, 93(1/2), 168-178.
2. Asner, G., Mascaro, J., Anderson, C., Knapp, D., Martin, R., Kennedy-Bowdoin, T., van Breugel, M. et al. 2013. High-fid lity national carbon mapping for resource management and REDD+. Carbon Balance and Management, 8(1), 7.
3. Asner, G.P., Powell, G.V.N., Mascaro, J., Knapp, D.E., Clark, J.K., Jacobson, J., Kennedy-Bowdoin, T. et al. 2010. Highresolution forest carbon stocks and emissions in the Amazon. Proceedings of the National Academy of Sciences of the United States, 107(38), 16738-16742.
4. Asrar, G., Fuchs, M., Kanemasu, E.T., and Hatfi ld, J.L. 1984. Estimating absorbed photosynthetic radiation and leaf area index from spectral refl ctance in wheat. Agronomy Journal, 76, 2, 300-306.
5. Baker, N.R. 2008. Chlorophyll fluorescence: A probe of photosynthesis in vivo. Annual Review of Plant Biology, 59(1), 89-113.
6. Baldocchi, D., Falge, E., Lianhong, G., Olson, R., Hollinger, D., Running, S., Anthoni, P. et al. 2001. FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities. Bulletin of the American Meteorological Society, 82(11), 2415.
7. Barton, C.V.M. and North, P.R.J. 2001. Remote sensing of canopy light use effici cy using the photochemical refl ctance index: Model and sensitivity analysis. Remote Sensing of Environment, 78(3), 264-273.
8. Biondini, M.E., Lauenroth, W.K., and Sala, O.E. 1991. Correcting estimates of net primary production: Are we overestimating plant production in rangelands? Journal of Range Management, 44(3), 194-198.
9. Chambers, J.Q., Negrón-Juárez, R.I., Hurtt, G.C., Marra, D.M., and Higuchi, N. 2009. Lack of intermediate-scale disturbance data prevents robust extrapolation of plot-level tree mortality rates for old-growth tropical forests. Ecology Letters, 12(12), E22-E25.
10. Churkina, G. and Running, S.W. 1998. Contrasting climatic controls on the estimated productivity of global terrestrial biomes. Ecosystems, 1(2), 206-215.
11. Ciganda, V., Gitelson, A., and Schepers, J. 2008. Vertical profile and temporal variation of chlorophyll in maize canopy: Quantitative “Crop Vigor” indicator by means of refl ctance-based techniques. Agronomy Journal, 100(5), 1409-1417.
12. Cleverly, J., Boulain, N., Villalobos-Vega, R., Grant, N., Faux, R., Wood, C., Cook, P.G., Yu, Q., Leigh, A., and Eamus, D. 2013. Dynamics of component carbon fluxes in a semi-arid Acacia woodland, central Australia. Journal of Geophysical Research: Biogeosciences, 118(3), 1168-1185.
13. Cramer, W, Kicklighter, D., Bondeau, A., Moore III B., Churkina, G., Nemry, B., Ruimy, A., Schloss, A., Intercomparison, T., and Model, P.O.T.P.N. 1999. Comparing global models of terrestrial net primary productivity (NPP): Overview and key results. Global Change Biology, 5(S1), 1-15.
14. Dash, J. and Curran, PJ. 2004. The MERIS terrestrial chlorophyll index. International Journal of Remote Sensing, 25(23), 5403-5413.
15. Dawson, T.P., North, P.R.J., Plummer, S.E., and Curran, PJ. 2003. Forest ecosystem chlorophyll content: Implications for remotely sensed estimates of net primary productivity. International Journal of Remote Sensing, 24(3), 611-617.
16. FAO. 2007. State of the Worlds Forests 2007. FAO, Rome, Italy.
17. Fensholt, R., Sandholt, I., and Rasmussen, M.S. 2004. Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements. Remote Sensing of Environment, 91(3-4), 490-507.
18. Field, C.B., Randerson, J.T., and Malmström, C.M. 1995. Global net primary production: Combining ecology and remote sensing. Remote Sensing of Environment, 51(1), 74-88.
19. Flexas, J., Bota, J., Escalona, J.M., Sampol, B., and Medrano, H. 2002. Effects of drought on photosynthesis in grapevines under field conditions: An evaluation of stomatal and mesophyll limitations. Functional Plant Biology, 29(4), 461-471.
20. Frankenberg, C., Butz, A., and Toon, G.C. 2011. Disentangling chlorophyll fluorescence from atmospheric scattering effects in O2 A-band spectra of refl cted sun-light. Geophysical Research Letters, 38(3), L03801.
21. Frankenberg, C., O’Dell, C., Berry, J., Guanter, L., Joiner, J., Köhler, P., Pollock, R., and Taylor, T.E. 2014. Prospects for chlorophyll fluorescence remote sensing from the orbiting carbon observatory-2. Remote Sensing of Environment, 147(0), 1-12.
22. Gamon, J.A., Penuelas, J., and Field, C.B. 1992. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sensing of Environment, 41(1), 35-44.
23. Gitelson, A.A. 2004. Wide dynamic range vegetation index for remote quantifi ation of biophysical characteristics of vegetation. Journal of Plant Physiology, 161(2), 165-173.
24. Gitelson, A.A., Keydan, G.P., and Merzlyak, M.N. 2006. Th ee-band model for noninvasive estimation of chlorophyll, carotenoids, and anthocyanin contents in higher plant leaves. Geophysical Research Letters, 33(11), L11402.
25. Gitelson, A.A., Peng, Y., Masek, J.G., Rundquist, D.C., Verma, S., Suyker, A., Baker, J.M., Hatfield, J.L., and Meyers, T. 2012. Remote estimation of crop gross primary production with Landsat data. Remote Sensing of Environment, 121(0), 404-414.
26. Glenn, E.P., Huete, A.R., Nagler, P.L., and Nelson, S.G. 2008. Relationship between remotely-sensed vegetation indices, canopy attributes and plant physiological processes: What vegetation indices can and cannot tell us about the landscape. Sensors, 8(4), 2136-2160.
27. Goerner, A., Reichstein, M., and Rambal, S. 2009. Tracking seasonal drought effects on ecosystem light use effici cy with satellite-based PRI in a Mediterranean forest. Remote Sensing of Environment, 113(5), 1101-1111.
28. Goulden, M.L., Munger, J.W., Fan, S.-M., Daube, B.C., and Wofsy, S.C. 1996. Measurements of carbon sequestration by longterm eddy covariance: Methods and a critical evaluation of accuracy. Global Change Biology, 2(3), 169-182.
29. Goward, S.N. and Huemmrich, K.F. 1992. Vegetation canopy PAR absorptance and the normalized difference vegetation index: An assessment using the SAIL model. Remote Sensing of Environment, 39(2), 119-140.
30. Goward, S.N., Tucker, C., and Dye, D. 1985. North American vegetation patterns observed with the NOAA-7 advanced very high resolution radiometer. Vegetatio, 64(1), 3-14.
31. Gower, S.T., Kucharik, C.J., and Norman, J.M. 1999. Direct and indirect estimation of leaf area index, fAPAR, and net primary production of terrestrial ecosystems. Remote Sensing of Environment, 70(1), 29-51.
32. Guanter, L., Frankenberg, C., Dudhia, A., Lewis, P.E., Gómez-Dans, J., Kuze, A., Suto, H., and Grainger, R.G. 2012. Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements. Remote Sensing of Environment, 121(0), 236-251.
33. Guanter, L., Zhang, Y., Jung, M., Joiner, J., Voigt, M., Berry, J.A., Frankenberg, C. et al. 2014. Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence. Proceedings of the National Academy of Sciences of the United States, 111(14), E1327-E1333.
34. Guo, J. and Trotter, C.M. 2004. Estimating photosynthetic light-use efficiency using the photochemical reflectance index: Variations among species. Functional Plant Biology, 31(3), 255-265.
35. Hashimoto, H., Dungan, J.L., White, M.A., Yang, F., Michaelis, A.R., Running, S.W., and Nemani, R.R. 2008. Satellite-based estimation of surface vapor pressure defic ts using MODIS land surface temperature data. Remote Sensing of Environment, 112(1), 142-155.
36. Heinsch, F.A., Maosheng, Z., Running, S.W., Kimball, J.S., Nemani, R.R., Davis, K.J., Bolstad, P.V. et al. 2006. Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations. IEEE Transactions on Geoscience and Remote Sensing, 44(7), 1908-1925.
37. Huete, A., Didan, K., Miura, T., Rodriguez, E.P., Gao, X., and Ferreira, L.G. 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83(1-2), 195-213.
38. Huete, A.R., Restrepo-Coupe, N., Ratana, P., Didan, K., Saleska, S.R., Ichii, K., Panuthai, S., and Gamo, M. 2008. Multiple site tower flux and remote sensing comparisons of tropical forest dynamics in Monsoon Asia. Agricultural and Forest Meteorology, 148(5), 748-760.
39. Ichii, K., Hashimoto, H., White, M.A., Potter, C., Hutyra, L.R., Huete, A.R., Myneni, R.B., and Nemani, R.R. 2007. Constraining rooting depths in tropical rainforests using satellite data and ecosystem modeling for accurate simulation of gross primary production seasonality. Global Change Biology, 13(1), 67-77.
40. Jenkins, J.P., Richardson, A.D., Braswell, B.H., Ollinger, S.V., Hollinger, D.Y., and Smith, M.L. 2007. Refining light-use efficiency calculations for a deciduous forest canopy using simultaneous tower-based carbon flux and radiometric measurements. Agricultural and Forest Meteorology, 143(1-2), 64-79.
41. Jin, C., Xiao, X., Merbold, L., Arneth, A., Veenendaal, E., and Kutsch, W.L. 2013. Phenology and gross primary production of two dominant savanna woodland ecosystems in Southern Africa. Remote Sensing of Environment, 135, 0, 189-201.
42. Joiner, J., Guanter, L., Lindstrot, R., Voigt, M., Vasilkov, A.P., Middleton, E.M., Huemmrich, K.F., Yoshida, Y., and Frankenberg, C. 2013. Global monitoring of terrestrial chlorophyll fluorescence from moderate spectral resolution near-infrared satellite measurements: Methodology, simulations, and application to GOME-2. Atmos Meas Tech, 6(10), 2803-2823.
43. Jönsson, P. and Eklundh, L. 2004. TIMESAT—A program for analyzing time-series of satellite sensor data. Computers & Geosciences, 30(8), 833-845.
44. Kanamitsu, M., Ebisuzaki, W., Woollen, J., Yang, S.-K., Hnilo, J.J., Fiorino, M., and Potter, G.L. 2002. NCEP-DOE AMIP-II Reanalysis (R-2). Bulletin of the American Meteorological Society, 83(11), 1631-1643.
45. Kang, S., Running, S.W., Zhao, M., Kimball, J.S., and Glassy, J. 2005. Improving continuity of MODIS terrestrial photosynthesis products using an interpolation scheme for cloudy pixels. International Journal of Remote Sensing, 26(8), 1659-1676.
46. Kanniah, K.D., Beringer, J., and Hutley, L. 2013a. Exploring the link between clouds, radiation, and canopy productivity of tropical savannas. Agricultural and Forest Meteorology, 182-183(0), 304-313.
47. Kanniah, K.D., Beringer, J., and Hutley, L.B. 2011. Environmental controls on the spatial variability of savanna productivity in the Northern Territory, Australia. Agricultural and Forest Meteorology, 151(11), 1429-1439.
48. Kanniah, K.D., Beringer, J., and Hutley, L.B. 2013b. Response of savanna gross primary productivity to interannual variability in rainfall: Results of a remote sensing based light use efficiency model. Progress in Physical Geography, 37(5), 642-663.
49. Kanniah, K.D., Beringer, J., Hutley, L.B., Tapper, N.J., and Zhu, X. 2009. Evaluation of collections 4 and 5 of the MODIS gross primary productivity product and algorithm improvement at a tropical savanna site in northern Australia. Remote Sensing of Environment, 113(9), 1808-1822.
50. 2 source/sink distributions within a rice canopy using higher-order closure model. Boundary-Layer Meteorology, 98(1), 103-125.
51. Kauth, R.J. and Thomas, G.S. 1976. The tasseled cap. A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat, 2nd International Symposium on Machine Processing of Remotely Sensed Data, IEEE Cat. 76, CH-1103-1, Purdue University, West Lafayette, IN and Proc. of LACIE Symp., Houston, TX.
52. Kauth, R.J. and Thomas, G. 1976. The tasselled cap—A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat. LARS Symposia, Paper 159.
53. Kotchenova, S.Y. and Vermote, E.F. 2007. Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part II. Homogeneous Lambertian and anisotropic surfaces. Applied Optics, 46, 20, 4455-4464.
54. Lefsky, M.A., Cohen, W.B., Harding, D.J., Parker, G.G., Acker, S.A., and Gower, S.T. 2002. Lidar remote sensing of aboveground biomass in three biomes. Global Ecology and Biogeography, 11(5), 393-399.
55. Leuning, R., Cleugh, H.A., Zegelin, S.J., and Hughes, D. 2005. Carbon and water fluxes over a temperate Eucalyptus forest and a tropical wet/dry savanna in Australia: Measurements and comparison with MODIS remote sensing estimates. Agricultural and Forest Meteorology, 129(3-4), 151-173.
56. Li, F., Kustas, W.P., Anderson, M.C., Prueger, J.H., and Scott, R.L. 2008. Effect of remote sensing spatial resolution on interpreting tower-based flux observations. Remote Sensing of Environment, 112, 2, 337-349.
57. Lieth, H. 1975. Primary production of the major vegetation units of the world, in H. Lieth, and R. Whittaker (eds.), Primary Productivity of the Biosphere. Springer, Berlin, Germany, Vol. 14, pp. 203-215.
58. Ma, X., Huete, A., Yu, Q., Coupe, N.R., Davies, K., Broich, M., Ratana, P. et al. 2013. Spatial patterns and temporal dynamics in savanna vegetation phenology across the North Australian Tropical Transect. Remote Sensing of Environment, 139(0), 97-115.
59. Ma, X., Huete, A., Yu, Q., Restrepo-Coupe, N., Beringer, J., Hutley, L.B., Kanniah, K.D., Cleverly, J., and Eamus, D. 2014. Parameterization of an ecosystem light-use-efficiency model for predicting savanna GPP using MODIS EVI. Remote Sensing of Environment, 154(0), 253-271.
60. Mahadevan, P., Wofsy, S.C., Matross, D.M., Xiao, X., Dunn, A.L., Lin, J.C., Gerbig, C., Munger, J.W., Chow, V.Y., and Gottlieb, E.W. 2008. A satellite-based biosphere parameterization for net ecosystem CO2 exchange: Vegetation photosynthesis and respiration model (VPRM). Global Biogeochemical Cycles, 22(2), GB2005.
61. Meroni, M., Rossini, M., Guanter, L., Alonso, L., Rascher, U., Colombo, R., and Moreno, J. 2009. Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications. Remote Sensing of Environment, 113(10), 2037-2051.
62. Middleton, E., Huemmrich, K., Cheng, Y., and Margolis, H. 2011. Spectral bioindicators of photosynthetic effici cy and vegetation stress, in Hyperspectral Remote Sensing of Vegetation, Thenkabail, P., Lyon, J, and Huete, A. (eds.), CRC Press, pp. 265-288.
63. Monfreda, C., Ramankutty, N., and Foley, J.A. 2008. Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000. Global Biogeochemical Cycles, 22(1), GB1022.
64. Monteith, J.L. 1972. Solar radiation and productivity in tropical ecosystems. Journal of Applied Ecology, 9(3), 747.
65. Monteith, J.L. and Unsworth, M.H. 1990. Principles of Environmental Physics, 2nd edn. Antony Rowe Ltd., Eastbourne, U.K.
66. Moran, M.S., Ponce-Campos, G.E., Huete, A., McClaran, M.P., Zhang, Y., Hamerlynck, E.P., Augustine, D.J. et al. 2014. Functional response of U.S. grasslands to the early 21st-century drought. Ecology, 95(8), 2121-2133.
67. Morisette, J.T., Privette, J.L., and Justice, C.O. 2002. A framework for the validation of MODIS land products. Remote Sensing of Environment, 83(1-2), 77-96.
68. Myneni, R.B., Hoffman, S., Knyazikhin, Y., Privette, J.L., Glassy, J., Tian, Y., Wang, Y. et al. 2002. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sensing of Environment, 83(1-2), 214-231.
69. Myneni, R.B. and Williams, D.L. 1994. On the relationship between FAPAR and NDVI. Remote Sensing of Environment, 49(3), 200-211.
70. Nemani, R.R., Keeling, C.D., Hashimoto, H., Jolly, W.M., Piper, S.C., Tucker, C.J., Myneni, R.B., and Running, S.W. 2003. Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science (New York), 300(5625), 1560-1563.
71. Nichol, C.J., Huemmrich, K.F., Black, T.A., Jarvis, P.G., Walthall, C.L., Grace, J., and Hall, F.G. 2000. Remote sensing of photosynthetic-light-use efficiency of boreal forest. Agricultural and Forest Meteorology, 101(2-3), 131-142.
72. Nichol, C.J., Lloyd, J.O.N., Shibistova, O., Arneth, A., ROSer, C., Knohl, A., Matsubara, S., and Grace, J. 2002. Remote sensing of photosynthetic-light-use effici cy of a Siberian boreal forest. Tellus B, 54(5), 677-687.
73. Olofsson, P., Lagergren, F., Lindroth, A., Lindstrom, J., Klemedtsson, L., Kutsch, W., and Eklundh, L. 2008. Towards operational remote sensing of forest carbon balance across Northern Europe. Biogeosciences, 5(3), 817-832.
74. Peng, Y. and Gitelson, A.A. 2012. Remote estimation of gross primary productivity in soybean and maize based on total crop chlorophyll content. Remote Sensing of Environment, 117(0), 440-448.
75. Peng, Y., Gitelson, A.A., Keydan, G., Rundquist, D.C., and Moses, W. 2011. Remote estimation of gross primary production in maize and support for a new paradigm based on total crop chlorophyll content. Remote Sensing of Environment, 115(4), 978-989.
76. Peng, Y., Gitelson, A.A., and Sakamoto, T. 2013. Remote estimation of gross primary productivity in crops using MODIS 250 m data. Remote Sensing of Environment, 128(0), 186-196.
77. Peñuelas, J., Filella, I., and Gamon, J.A. 1995. Assessment of photosynthetic radiation-use effici cy with spectral refl c-tance. New Phytologist, 131(3), 291-296.
78. Ponce-Campos, G.E., Moran, M.S., Huete, A., Zhang, Y., Bresloff, C., Huxman, T.E., Eamus, D. et al. 2013. Ecosystem resilience despite large-scale altered hydroclimatic conditions. Nature, 494(7437), 349-352.
79. Porcar-Castell, A., Tyystjärvi, E., Atherton, J., van der Tol, C., Flexas, J., Pfundel, E.E., Moreno, J., Frankenberg, C., and Berry, J.A. 2014. Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: Mechanisms and challenges. Journal of Experimental Botany, 65(15), 4065-4095.
80. Rahman, A.F., Cordova, V.D., Gamon, J.A., Schmid, H.P., and Sims, D.A. 2004. Potential of MODIS ocean bands for estimating CO2 flux from terrestrial vegetation: A novel approach. Geophysical Research Letters, 31(10), L10503.
81. Rahman, A.F., Sims, D.A., Cordova, V.D., and El-Masri, B.Z. 2005. Potential of MODIS EVI and surface temperature for directly estimating per-pixel ecosystem C fluxes. Geophysical Research Letters, 32(19), L19404.
82. Richardson, A.J. and Wiegand, C.L. 1977. Distinguishing vegetation from soil background information. Photogrammetric Engineering and Remote Sensing, 43(12), 1541-1552.
83. Ripullone, F., Rivelli, A.R., Baraldi, R., Guarini, R., Guerrieri, R., Magnani, F., Penuelas, J., Raddi, S., and Borghetti, M. 2011. Effectiveness of the photochemical refl ctance index to track photosynthetic activity over a range of forest tree species and plant water statuses. Functional Plant Biology, 38(3), 177-186.
84. Rossini, M., Migliavacca, M., Galvagno, M., Meroni, M., Cogliati, S., Cremonese, E., Fava, F. et al. 2014. Remote estimation of grassland gross primary production during extreme meteorological seasons. International Journal of Applied Earth Observation and Geoinformation, 29(0), 1-10.
85. 2fluxes over plant canopies and solar radiation: A review. Advances in Ecological Research, 26, 1-68.
86. Ruimy, A., Saugier, B., and Dedieu, G. 1994. Methodology for the estimation of terrestrial net primary production from remotely sensed data. Journal of Geophysical Research: Atmospheres, 99(D3), 5263-5283.
87. Running, S.W., Baldocchi, D.D., Turner, D.P., Gower, S.T., Bakwin, P.S., and Hibbard, K.A. 1999. A global terrestrial monitoring network integrating tower fluxes, flask sampling, ecosystem modeling and EOS satellite data. Remote Sensing of Environment, 70(1), 108-127.
88. Running, S.W., Heinsch, F.A., Zhao, M., Reeves, M., Hashimoto, H., and Nemani, R.R. 2004. A continuous satellite-derived measure of global terrestrial primary production. BioScience, 54(6), 547-560.
89. Sala, O.E., Parton, W.J., Joyce, L.A., and Lauenroth, W.K. 1988. Primary production of the central grassland region of the United States. Ecology, 69(1), 40-45.
90. Schimel, D.S. 1998. Climate change: The carbon equation. Nature, 393(6682), 208-209.
91. Sellers, PJ. 1985. Canopy reflectance, photosynthesis and transpiration. International Journal of Remote Sensing, 6(8), 1335-1372.
92. Sims, D.A., Rahman, A.F., Cordova, V.D., El-Masri, B.Z., and Baldocchi, D.D. 2006. On the use of MODIS EVI to assess gross primary productivity of North American ecosystems. Journal of Geophysical Research, 111.
93. Sims, D.A., Rahman, A.F., Cordova, V.D., El-Masri, B.Z., Baldocchi, D.D., Bolstad, P.V., Flanagan, L.B. et al. 2008. A new model of gross primary productivity for North American ecosystems based solely on the enhanced vegetation index and land surface temperature from MODIS. Remote Sensing of Environment, 112(4), 1633-1646.
94. Sjöström, M., Ardö, J., Arneth, A., Boulain, N., Cappelaere, B., Eklundh, L., de Grandcourt, A. et al. 2011. Exploring the potential of MODIS EVI for modeling gross primary production across African ecosystems. Remote Sensing of Environment, 115(4) 1081-1089.
95. Sjöström, M., Zhao, M., Archibald, S., Arneth, A., Cappelaere, B., Falk, U., de Grandcourt, A. 2013. Evaluation of MODIS gross primary productivity for Africa using eddy covariance data. Remote Sensing of Environment, 131(0), 275-286.
96. Tucker, C.J. 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8, 2, 127-150.
97. Turner, D.P., Ollinger, S.V., and Kimball, J.S. 2004. Integrating remote sensing and ecosystem process models for landscape- to regional-scale analysis of the carbon cycle. BioScience, 54(6), 573-584.
98. Turner, D.P., Ritts, W.D., Cohen, W.B., Gower, S.T., Running, S.W., Zhao, M., Costa, M.H. et al. 2006. Evaluation of MODIS NPP and GPP products across multiple biomes. Remote Sensing of Environment, 102(3-4), 282-292.
99. Turner, D.P., Urbanski, S., Bremer, D., Wofsy, S.C., Meyers, T., Gower, S.T., and Gregory, M. 2003. A cross-biome comparison of daily light use effici cy for gross primary production. Global Change Biology, 9(3), 383-395.
100. USDA-NASS. USDA National Agricultural Statistics Service Cropland Data Layer. Published crop-specific data layer. Technical report, USDA-NASS, Online, 37, 2010
101. Ustin, S.L., Roberts, D.A., Pinzón, J., Jacquemoud, S., Gardner, M., Scheer, G., Castañeda, C.M., and Palacios-Orueta, A. 1998. Estimating canopy water content of chaparral shrubs using optical methods. Remote Sensing of Environment, 65(3), 280-291.
102. Veefkind, J.P., Aben, I., McMullan, K., Förster, H., de Vries, J., Otter, G., Claas, J. et al. 2012. TROPOMI on the ESA Sentinel-5 Precursor: A GMES mission for global observations of the atmospheric composition for climate, air quality and ozone layer applications. Remote Sensing of Environment, 120(0), 70-83.
103. Verma, S.B., Dobermann, A., Cassman, K.G., Walters, D.T., Knops, J.M., Arkebauer, T.J., Suyker, A.E. et al. 2005. Annual carbon dioxide exchange in irrigated and rainfed maize-based agroecosystems. Agricultural and Forest Meteorology, 131(1-2), 77-96.
104. Vickers, D., Thomas, C.K., Pettijohn, C., Martin, J.G., and Law, B.E. 2012. Five years of carbon fluxes and inherent wateruse effici cy at two semi-arid pine forests with different disturbance histories. Tellus B, 64, 17159.
105. Wan, Z. 2008. New refi ements and validation of the MODIS land-surface temperature/emissivity products. Remote Sensing of Environment, 112(1), 59-74.
106. Wang, J., Rich, P.M., Price, K.P., and Kettle, W.D. 2004. Relations between NDVI and tree productivity in the central Great Plains. International Journal of Remote Sensing, 25(16), 3127-3138.
107. Whitley, R.J., Macinnis-Ng, C.M.O., Hutley, L.B., Beringer, J., Zeppel, M., Williams, M., Taylor, D., and Eamus, D. 2011. Is productivity of mesic savannas light limited or water limited? Results of a simulation study. Global Change Biology, 17(10), 3130-3149.
108. Whittaker, R. and Marks, P. 1975. Methods of assessing terrestrial productivity, in H. Lieth, and R. Whittaker (eds.), Primary Productivity of the Biosphere, Springer, Berlin, Germany, Vol. 14, pp. 55-118.
109. Wilson, K.B., Baldocchi, D.D., and Hanson, P.J. 2001. Leaf age affects the seasonal pattern of photosynthetic capacity and net ecosystem exchange of carbon in a deciduous forest. Plant, Cell & Environment, 24(6), 571-583.
110. Wu, C., Chen, J.M., and Huang, N. 2011. Predicting gross primary production from the enhanced vegetation index and photosynthetically active radiation: Evaluation and calibration. Remote Sensing of Environment, 115(12), 3424-3435.
111. Wu, C., Gonsamo, A., Zhang, F., and Chen, J.M. 2014. The potential of the greenness and radiation (GR) model to interpret 8-day gross primary production of vegetation. ISPRS Journal of Photogrammetry and Remote Sensing, 88(0), 69-79.
112. Wu, C., Niu, Z., and Gao, S. 2010. Gross primary production estimation from MODIS data with vegetation index and photosynthetically active radiation in maize. Journal of Geophysical Research: Atmospheres, 115, 12.
113. Wylie, B.K., Johnson, D.A., Laca, E., Saliendra, N.Z., Gilmanov, T.G., Reed, B.C., Tieszen, L.L., and Worstell, B.B. 2003. Calibration of remotely sensed, coarse resolution NDVI to CO2 fluxes in a sagebrush-steppe ecosystem. Remote Sensing of Environment, 85(2), 243-255.
114. Xiao, X., Zhang, Q., Braswell, B., Urbanski, S., Boles, S., Wofsy, S., Moore III B., and Ojima, D. 2004. Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data. Remote Sensing of Environment, 91(2), 256-270.
115. Xiao, X., Zhang, Q., Saleska, S., Hutyra, L., De Camargo, P., Wofsy, S., Frolking, S., Boles, S., Keller, M., and Moore III, B. 2005. Satellite-based modeling of gross primary production in a seasonally moist tropical evergreen forest. Remote Sensing of Environment, 94(1), 105-122.
116. Yuan, W., Liu, S., Yu, G., Bonnefond, J.-M., Chen, J., Davis, K., Desai, A.R. et al. 2010. Global estimates of evapotranspira-tion and gross primary production based on MODIS and global meteorology data. Remote Sensing of Environment, 114(7), 1416-1431.
117. Zarco-Tejada, P.J., Miller, J.R., Mohammed, G.H., Noland, T. L., and Sampson, P.H. 2002. Vegetation stress detection through chlorophyll a + b estimation and fluorescence effects on hyperspectral imagery. Journal of Environmental Quality, 31(5), 1433-1441.
118. Zhang, Y., Guanter, L., Berry, J.A., Joiner, J., van der Tol, C., Huete, A., Gitelson, A., Voigt, M., and Köhler, P. 2014. Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models. Global Change Biology, 20(12), 3727-3742.
119. Zhang, Y., Moran Moran, M.S., Nearing, M.A., Ponce Campos, G.E., Huete, A.R., Buda, A.R., Bosch, D.D. et al. 2013. Extreme precipitation patterns and reductions of terrestrial ecosystem production across biomes. Journal of Geophysical Research: Biogeosciences, 118(1), 148-157.
120. Zhao, M., Heinsch, F.A., Nemani, R.R., and Running, S.W. 2005. Improvements of the MODIS terrestrial gross and net primary production global data set. Remote Sensing of Environment, 95(2), 164-176.
121. Zhao, M. and Running, S.W. 2010. Drought-induced reduction in global terrestrial net primary production from 2000 through 2009. Science, 329(5994), 940-943.
122. Zhao, M., Running, S.W., and Nemani, R.R. 2006. Sensitivity of moderate resolution imaging spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses. Journal of Geophysical Research: Biogeosciences, 111(G1), G01002.
123. Zolkos, S.G., Goetz, S.J., and Dubayah, R. 2013. A meta-analysis of terrestrial aboveground biomass estimation using lidar remote sensing. Remote Sensing of Environment, 128(0), 289-298.