Spectral analysis of amazon canopy phenology during the dry season using a tower hyperspectral camera and modis observations

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 131, Issue , 2017, Pages 52-64

  de Moura, Yhasmin Mendes ^a   Galvão, Lênio Soares ^a   Hilker, Thomas ^b   Wu, Jin ^c,d   Saleska, Scott ^c   do Amaral, Cibele Hummel ^e   Nelson, Bruce Walker ^f   Lopes, Aline Pontes ^a   Wiedeman, Kenia K ^c,g   Prohaska, Neill ^c   de Oliveira, Raimundo Cosme ^h   Machado, Carolyne Bueno ^a   Aragão, Luiz E O C ^a,i  

^a INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^c University of Arizona   (United States)

^d BROOKHAVEN NATIONAL LABORATORY   (United States)

^e FEDERAL UNIVERSITY OF VIÇOSA   (Brazil)

^f INSTITUTO NACIONAL DE PESQUISAS DA AMAZÔNIA   (Brazil)

^g HARVARD UNIVERSITY   (United States)

^h EMBRAPA AMAZÔNIA ORIENTAL   (Brazil)

ⁱ UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

Amazon; Dry season; Hyperspectral remote sensing; Leaf flush; Phenology; Seasonality; Tropical species

Indexed keywords

CAMERAS; DROUGHT; FORESTRY; RADIOMETERS; REMOTE SENSING; SATELLITE IMAGERY; SPECTRUM ANALYSIS; VEGETATION;

AMAZON; DRY SEASONS; HYPERSPECTRAL REMOTE SENSING; LEAF FLUSH; PHENOLOGY; SEASONALITY; TROPICAL SPECIES;

PRINCIPAL COMPONENT ANALYSIS;

ALGORITHM; ANGIOSPERM; DRY SEASON; LEAF; LEAF AREA INDEX; MODIS; NDVI; PHENOLOGY; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SATELLITE DATA; SEASONALITY; SPECTRAL REFLECTANCE; TROPICAL FOREST; VIDEOGRAPHY;

AMAZONIA;

CHAMAECRISTA; ERISMA; MANILKARA HUBERI; NUCLEOPOLYHEDROVIRUS;

EID: 85026677594     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2017.07.006     Document Type: Article

References (61)

1. Anderson, L.O., Aragão, L.E.O.C., Shimabukuro, Y.E., Almeida, S., Huete, A., Fraction images for monitoring intra-annual phenology of different vegetation physiognomies in Amazonia. Int. J. Remote Sens. 32:2 (2011), 387–408.
2. Aragão, L.E.O.C., Malhi, Y., Barbier, N., Lima, A., Shimabukuro, Y., Anderson, L., Saatchi, S., Interactions between rainfall, deforestation and fires during recent years in the Brazilian Amazonia. Philos. Trans. R. Soc. Lond. B Biol. Sci. 363:1498 (2008), 1779–1785, 10.1098/rstb.2007.0026.
3. Arora, V.K., Boer, G.J., A parameterization of leaf phenology for the terrestrial ecosystem component of climate models. Glob. Change Biol. 11:1 (2005), 39–59, 10.1111/j.1365-2486.2004.00890.x.
4. Bi, J., Knyazikhin, Y., Choi, S., Park, T., Barichivich, J., Ciais, P., et al. Sunlight mediated seasonality in canopy structure and photosynthetic activity of Amazonian rainforests. Environ. Res. Lett., 10(6), 2015, 064014, 10.1088/1748-9326/10/6/064014.
5. Blackburn, G.A., Hyperspectral remote sensing of plant pigments. J. Exp. Bot. 58:4 (2007), 855–867, 10.1093/jxb/erl123.
6. Bonan, G.B., Levis, S., Sitch, S., Vertenstein, M., Oleson, K.W., A dynamic global vegetation model for use with climate models: concepts and description of simulated vegetation dynamics. Glob. Change Biol. 9:11 (2003), 1543–1566, 10.1046/j.1365-2486.2003.00681.x.
7. Borchert, R., Calle, Z., Strahler, A.H., Baertschi, A., Magill, R.E., Broadhead, J.S., Kamau, J., Njoroge, J., Muthuri, C., Insolation and photoperiodic control of tree development near the equator. New Phytol. 205 (2015), 7–13.
8. Cerny, C.A., Kaiser, H.F., A study of a measure of sampling adequacy for factor-analytic correlation matrices. Multivar. Behav. Res. 12 (1977), 43–47.
9. Cho, M.A., Skidmore, A.K., A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method. Remote Sens. Environ. 101:2 (2006), 181–193, 10.1016/j.rse.2005.12.011.
10. Clark, R.N., Roush, T.L., Reflectance spectroscopy: quantitative analysis techniques for remote sensing applications. J. Geophys. Res.: Solid Earth 89:B7 (1984), 6329–6340, 10.1029/JB089iB07p06329.
11. Cleland, E.E., Chuine, I., Menzel, A., Mooney, H.A., Schwartz, M.D., Shifting plant phenology in response to global change. Trends Ecol. Evol. 22:7 (2007), 357–365, 10.1016/j.tree.2007.04.003.
12. Clevers, J.G.P.W., Gitelson, A.A., Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3. Int. J. Appl. Earth Observations Geoinf. 23 (2013), 344–351, 10.1016/j.jag.2012.10.008.
13. Cox, P.M., Betts, R.A., Collins, M., Harris, P.P., Huntingford, C., Jones, C.D., Amazonian forest dieback under climate-carbon cycle projections for the 21st century. Theoret. Appl. Climatol. 78:1–3 (2004), 137–156, 10.1007/s00704-004-0049-4.
14. D'Odorico, P., Gonsamo, A., Gough, C.M., Bohrer, G., Morison, J., Wilkinson, M., et al. The match and mismatch between photosynthesis and land surface phenology of deciduous forests. Agric. For. Meteorol. 214 (2015), 25–38, 10.1016/j.agrformet.2015.07.005.
15. Demmig-Adams, B., Adams, W.W. III, Barker, D.H., Logan, B.A., Bowling, D.R., Verhoeven, A.S., Using chlorophyll fluorescence to assess the fraction of absorbed light allocated to thermal dissipation of excess excitation. Physiol. Plant. 98:2 (2008), 253–264, 10.1034/j.1399-3054.1996.980206.x.
16. 2 exchange. J. Geophys. Res. 113, G00B06. http://dx.doi.org/10.1029/2007JG000590.
17. Frank, D., Reichstein, M., Bahn, M., Thonicke, K., Frank, D., Mahecha, M.D., et al. Effects of climate extremes on the terrestrial carbon cycle: concepts, processes and potential future impacts. Glob. Change Biol. 21:8 (2015), 2861–2880, 10.1111/gcb.12916.
18. Friedlingstein, P., Cox, P., Betts, R., Bopp, L., von Bloh, W., Brovkin, V., et al. Climate-carbon cycle feedback analysis: results from the C4 MIP model intercomparison. J. Clim. 19:14 (2006), 3337–3353, 10.1175/JCLI3800.1.
19. Galvão, L.S., dos Santos, J.R., Roberts, D.A., Breunig, F., Marcelo, B., Toomey, M., de Moura, Y.M., On intra-annual EVI variability in the dry season of tropical forest: a case study with MODIS and hyperspectral data. Remote Sens. Environ. 115:9 (2011), 2350–2359, 10.1016/j.rse.2011.04.035.
20. Gamon, J.A., Rahman, A.F., Dungan, J.L., Schildhauer, M., Huemmrich, K.F., Spectral network (SpecNet)—what is it and why do we need it?. Remote Sens. Environ. 103:3 (2006), 227–235, 10.1016/j.rse.2006.04.003.
21. Garbulsky, M.F., Peñuelas, J., Papale, D., Filella, I., Remote estimation of carbon dioxide uptake by a Mediterranean forest. Glob. Change Biol. 14:12 (2008), 2860–2867, 10.1111/j.1365-2486.2008.01684.x.
22. Garrity, S.R., Vierling, L.A., Bickford, K., 2010. A simple filtered photodiode instrument for continuous measurement of narrowband NDVI and PRI over vegetated canopies. Agric. For. Meteorol. 150.
23. Girardin, C.A.J., Malhi, Y., Doughty, C.E., Metcalfe, D.B., Meir, P., del Aguila-Pasquel, J., et al. Seasonal trends of Amazonian rainforest phenology, net primary productivity, and carbon allocation. Global Biogeochem. Cycles 30:5 (2016), 700–715, 10.1002/2015GB005270.
24. Green, A.A., Berman, M., Switzer, P., Craig, M.D., A transformation for ordering multispectral data in terms of image quality with implications for noise removal. IEEE Trans. Geosci. Remote Sens. 26:1 (1988), 65–74, 10.1109/36.3001.
25. Guan, K., Pan, M., Li, H., Wolf, A., Wu, J., Medvigy, D., Caylor, K.K., Sheffield, J., Wood, E.F., Malhi, Y., Liang, M., Photosynthetic seasonality of global tropical forests constrained by hydroclimate. Nat. Geosci. 8:4 (2015), 284–289.
26. Guanter, L., Kaufmann, H., Segl, K., Foerster, S., Rogass, C., Chabrillat, S., et al. The EnMAP spaceborne imaging spectroscopy mission for earth observation. Remote Sensing 7:7 (2015), 8830–8857, 10.3390/rs70708830.
27. Hilker, T., Leeuwen, M., Coops, N.C., Wulder, M.A., Newnham, G.J., Jupp, D.L.B., Culvenor, D.S., Comparing canopy metrics derived from terrestrial and airborne laser scanning in a Douglas-fir dominated forest stand. Trees 24:5 (2010), 819–832, 10.1007/s00468-010-0452-7.
28. Hilker, T., Lyapustin, A.I., Tucker, C.J., Hall, F.G., Myneni, R.B., Wang, Y., et al. Vegetation dynamics and rainfall sensitivity of the Amazon. Proc. Natl. Acad. Sci. 111:45 (2014), 16041–16046, 10.1073/pnas.1404870111.
29. Hochberg, E.J., Roberts, D.A., Dennison, P.E., Hulley, G.C., Special issue on the hyperspectral infrared imager (HyspIRI): emerging science in terrestrial and aquatic ecology, radiation balance and hazards. Remote Sens. Environ. 167 (2015), 1–5.
30. Huete, A., Didan, K., Miura, T., Rodriguez, E.P., Gao, X., Ferreira, L.G., Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens. Environ. 83:1–2 (2002), 195–213.
31. Huete, A.R., Didan, K., Shimabukuro, Y.E., Ratana, P., Saleska, S.R., Hutyra, L.R., et al. Amazon rainforests green-up with sunlight in dry season. Geophys. Res. Lett., 33(6), 2006, L06405, 10.1029/2005GL025583.
32. Kitajima, K., Mulkey, S., Wright, S., Decline of photosynthetic capacity with leaf age in relation to leaf longevities for five tropical canopy tree species. Am. J. Bot., 84(5), 1997, 702.
33. Kokaly, R.F., Skidmore, A.K., Plant phenolics and absorption features in vegetation reflectance spectra near 1.66 μm. Int. J. Appl. Earth Obs. Geoinf. 43 (2015), 55–83, 10.1016/j.jag.2015.01.010.
34. 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., Asefi, S., Badgley, G., Forest productivity and water stress in Amazonia: Observations from GOSAT chlorophyll fluorescence. Proc. R. Soc. Lond. B: Biol. Sci., 280(1761), 2013, 20130171.
35. Lopes, A.P., Nelson, B.W., Wu, J., de Graça, P.M.L., et al. Leaf flush drives dry season green-up of the Central Amazon. Remote Sens. Environ., 182, 2016, 10.1016/j.rse.2016.05.009.
36. Lyapustin, A.I., Martonchik, J., Wang, Y., Laszlo, I., Korkin, S., 2011. Multiangle implementation of atmospheric correction (MAIAC): 1. Radiative transfer basis and look-up tables. J. Geophys. Res.: Atmos. 116(D3).
37. Maeda, E.E., Moura, Y.M., Wagner, F., Hilker, T., Lyapustin, A.I., Wang, Y., et al. Consistency of vegetation index seasonality across the Amazon rainforest. Int. J. Appl. Earth Obs. Geoinf. 52 (2016), 42–53, 10.1016/j.jag.2016.05.005.
38. Malhi, Y., Roberts, J.T., Betts, R.A., Killeen, T.J., Li, W., Nobre, C.A., 2008. Climate Change, Deforestation, and the Fate of the Amazon. http://dx.doi.org/10.1126/science.1146961 (January 11).
39. Moreira, R.C., Galvão, L.S., Variation in spectral shape of urban materials. Remote Sensing Lett. 1:3 (2010), 149–158, 10.1080/01431161003692032.
40. Morton, D.C., Nagol, J., Carabajal, C.C., Rosette, J., Palace, M., Cook, B.D., et al. Amazon forests maintain consistent canopy structure and greenness during the dry season. Nature 506:7487 (2014), 221–224, 10.1038/nature13006.
41. de Moura, Y.M., Hilker, T., Lyapustin, A.I., Galvão, L.S., dos Santos, J.R., Anderson, L.O., et al. Seasonality and drought effects of Amazonian forests observed from multi-angle satellite data. Remote Sens. Environ. 171 (2015), 278–290, 10.1016/j.rse.2015.10.015.
42. Moura, Y.M., Galvao, L.S., dos Santos, J.R., Roberts, D.A., Breunig, F.M., Use of MISR/Terra data to study intra- and inter-annual EVI variations in the dry season of tropical forest. Remote Sens. Environ. 127 (2012), 260–270, 10.1016/j.rse.2012.09.013.
43. Myneni, R.B., Yang, W., Nemani, R.R., Huete, A.R., Dickinson, R.E., Knyazikhin, Y., et al. Large seasonal swings in leaf area of Amazon rainforests. Proc. Natl. Acad. Sci. USA 104:12 (2007), 4820–4823, 10.1073/pnas.0611338104.
44. Phillips, O.L., Aragão, L.E.O.C., Lewis, S.L., Fisher, J.B., Lloyd, J., López-gonzález, G., et al. Drought sensitivity of the amazon rainforest. Science 323:5919 (2009), 1344–1347.
45. Restrepo-Coupe, N., da Rocha, H.R., Hutyra, L.R., da Araujo, A.C., Borma, L.S., Christoffersen, B., et al. What drives the seasonality of photosynthesis across the Amazon basin? A cross-site analysis of eddy flux tower measurements from the Brasil flux network. Agric. For. Meteorol. 182–183 (2013), 128–144, 10.1016/j.agrformet.2013.04.031.
46. Richardson, A.D., Anderson, R.S., Arain, M.A., Barr, A.G., Bohrer, G., Chen, G., et al. Terrestrial biosphere models need better representation of vegetation phenology: results from the North American Carbon Program Site Synthesis. Glob. Change Biol. 18:2 (2012), 566–584, 10.1111/j.1365-2486.2011.02562.x.
47. Richardson, A.D., Jenkins, J.P., Braswell, B.H., Hollinger, D.Y., Ollinger, S.V., Smith, M.-L., Use of digital webcam images to track spring green-up in a deciduous broadleaf forest. Oecologia 152:2 (2007), 323–334, 10.1007/s00442-006-0657-z.
48. Roberts, D.A., Nelson, B.W., Adams, J.B., Palmer, F., Spectral changes with leaf aging in Amazon caatinga. Trees 12 (1998), 315–325.
49. Roberts, D.A., Smith, M.O., Adams, J.B., Green vegetation, nonphotosynthetic vegetation, and soils in AVIRIS data. Remote Sens. Environ. 44 (1993), 255–269.
50. Saleska, S.R., Didan, K., Huete, A.R., da Rocha, H.R., Amazon forests green-up during 2005 drought. Science (New York, NY), 318(5850), 2007, 612, 10.1126/science.1146663.
51. Saleska, S.R., Wu, J., Guan, K., Araújo, A., Huete, A.R., Restrepo-Coupe, N., Dry-season greening of Amazon forests evidence from ecological studies. Nature, 531, 2016, 10.1038/nature13006.
52. Samanta, A., Ganguly, S., Hashimoto, H., Devadiga, S., Vermote, E., Knyazikhin, Y., et al. Amazon forests did not green-up during the 2005 drought. Geophys. Res. Lett., 37(5), 2010, 10.1029/2009GL042154.
53. Tortini, R., Hilker, T., Coops, N., Nesic, Z., Technological advancement in tower-based canopy reflectance monitoring: the AMSPEC-III system. Sensors 15:12 (2015), 32020–32030, 10.3390/s151229906.
54. Townsend, A.R., Asner, G.P., Cleveland, C.C., The biogeochemical heterogeneity of tropical forests. Trends Ecol. Evol. 23:8 (2008), 424–431, 10.1016/j.tree.2008.04.009.
55. van der Meer, F., Analysis of spectral absorption features in hyperspectral imagery. Int. J. Appl. Earth Obs. Geoinf. 5:1 (2004), 55–68, 10.1016/j.jag.2003.09.001.
56. Woebbecke, D.M., Meyer, G.E., Von Bargen, K., Mortensen, D.A., Color indices for weed identification under various soil, residue, and lighting conditions. Trans. ASAE 38 (1995), 259–269.
57. Wu, J., Albert, L.P., Lopes, A.P., Restrepo-Coupe, N., Hayek, M., Wiedemann, K.T., et al. Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests. Science, 351(6276), 2016, 10.1126/science.aad5068.
58. Wu, J., Guan, K., Hayek, M., Restrepo-Coupe, N., Wiedemann, K.T., Xu, X., Wehr, R., Christoffersen, B.O., Miao, G., Silva, R., Araujo, A.C., Partitioning controls on Amazon forest photosynthesis between environmental and biotic factors at hourly to interannual timescales. Glob. Change Biol., 2016, 10.1111/gcb.13509.
59. Xu, L., Samanta, A., Costa, M.H., Ganguly, S., Nemani, R. R., Myneni, R.B., 2011. Widespread decline in greenness of Amazonian vegetation due to the 2010 drought. Geophys. Res. Lett. 38(7), n/a–n/a. http://dx.doi.org/10.1029/2011GL046824.
60. Yang, X., Tang, J., Mustard, J.F., Beyond leaf color: comparing camera-based phenological metrics with leaf biochemical, biophysical, and spectral properties throughout the growing season of a temperate deciduous forest. J. Geophys. Res.: Biogeosci. 119 (2014), 181–191.
61. Zelazowski, P., Sayer, A.M., Thomas, G.E., Grainger, R.G., Reconciling satellite-derived atmospheric properties with fine-resolution land imagery: insights for atmospheric correction. J. Geophys. Res., 116(D18), 2011, D18308, 10.1029/2010JD015488.