Quantifying forest canopy traits: Imaging spectroscopy versus field survey

Remote Sensing of Environment

Volumn 158, Issue , 2015, Pages 15-27

  Asner, Gregory P ^a   Martin, Roberta E ^a   Anderson, Christopher B ^a   Knapp, David E ^a  

^a GEOPHYSICAL LABORATORY   (United States)

Author keywords

Amazon basin; Canopy chemistry; Carnegie Airborne Observatory; Chemometrics; Data fusion; Hyperspectral; LiDAR; Tropical forest

Indexed keywords

COMPLEX NETWORKS; DATA FUSION; ECOSYSTEMS; FORESTRY; OBSERVATORIES; REMOTE SENSING; TROPICS;

AMAZON BASIN; CANOPY CHEMISTRY; CARNEGIE AIRBORNE OBSERVATORIES; CHEMOMETRICS; HYPERSPECTRAL; TROPICAL FOREST;

OPTICAL RADAR;

DATA SET; FIELD SURVEY; FOREST CANOPY; LIDAR; OBSERVATORY; PHYTOCHEMISTRY; REMOTE SENSING; SPECTROSCOPY; TROPICAL FOREST;

ECOLOGY; FOREST CANOPY; INFRARED SPECTROSCOPY; PLANTS; TROPICAL ATMOSPHERES;

AMAZON BASIN;

EID: 84913553499     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2014.11.011     Document Type: Article

References (67)

1. Achard F., Beuchle R., Mayaux P., Stibig H.-J., Bodart C., Brink A., et al. Determination of tropical deforestation rates and related carbon losses from 1990 to 2010. Global Change Biology 2014, 2540-2554.
2. Ainsworth E.A., Gillespie K.M. Estimation of total phenolic content and other oxidation substrates in plant tissues using Folin-Coicalteau reagent. Nature Protocols 2007, 2:875-877.
3. Asner G.P. Biophysical and biochemical sources of variability in canopy reflectance. Remote Sensing of Environment 1998, 64:234-253.
4. Asner G.P. Hyperspectral remote sensing of canopy chemistry, physiology and diversity in tropical rainforests. Hyperspectral remote sensing of tropical and subtropical forests 2008, 261-296. Taylor and Francis Group, Boca Raton, Fl. M. Kalacska, G.A. Sanchez-Azofeifa (Eds.).
5. Asner G.P., Anderson C., Martin R.E., Knapp D.E., Tupayachi R., Kennedy-Bowdoin T., et al. Landscape-scale changes in forest structure and functional traits along an Andes-to-Amazon elevation gradient. Biogeosciences 2014, 11:843-856.
6. Asner G.P., Green R.O. Imaging spectroscopy measures desertification in the Southwest U.S. and Argentina. EOS Transactions 2001, 82:601-606.
7. Asner G.P., Knapp D.E., Boardman J., Green R.O., Kennedy-Bowdoin T., Eastwood M., et al. Carnegie Airborne Observatory-2: Increasing science data dimensionality via high-fidelity multi-sensor fusion. Remote Sensing of Environment 2012, 124:454-465.
8. Asner G.P., Knapp D.E., Kennedy-Bowdoin T., Jones M.O., Martin R.E., Boardman J., et al. Carnegie airborne observatory: In-flight fusion of hyperspectral imaging and waveform light detection and ranging for three-dimensional studies of ecosystems. Journal of Applied Remote Sensing 2007, 1:013536.
9. Asner G.P., Martin R.E. Spectral and chemical analysis of tropical forests: Scaling from leaf to canopy levels. Remote Sensing of Environment 2008, 112:3958-3970.
10. Asner G.P., Martin R.E. Canopy phylogenetic, chemical and spectral assembly in a lowland Amazonian forest. New Phytologist 2011, 189:999-1012.
11. Asner G.P., Martin R.E., Knapp D.E., Tupayachi R., Anderson C., Carranza L., et al. Spectroscopy of canopy chemicals in humid tropical forests. Remote Sensing of Environment 2011, 115:3587-3598.
12. Asner G.P., Martin R.E., Tupayachi R., Anderson C.B., Sinca F., Carranza-Jimenez L., et al. Amazonian functional diversity from forest canopy chemical assembly. Proceedings of the National Academy of Sciences 2014, 111:5604-5609.
13. Atkinson P.M., Foody G.M., Curran P.J., Boyd D.S. Assessing the ground data requirements for regional scale remote sensing of tropical forest biophysical properties. International Journal of Remote Sensing 2000, 21:2571-2587.
14. Baccini A., Goetz S.J., Walker W.S., Laporte N.T., Sun M., Sulla-Menashe D., et al. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nature Climate Change 2012, 10.1038/nclimate1354.
15. Boulesteix A.-L., Strimmer K. Partial least squares: A versatile tool for the analysis of high-dimensional genomic data. Briefings in Bioinformatics 2006, 8:32-44.
16. Chambers J.Q., Asner G.P., Morton D.C., Anderson L.O., Saatchi S.S., Espirito-Santo F.D.B., et al. Regional ecosystem structure and function: Ecological insights from remote sensing of tropical forests. Trends in Ecology & Evolution 2007, 22:414-423.
17. Chapin F.S. Integrated responses of plants to stress. BioScience 1991, 41:29-36.
18. Chen S., Hong X., Harris C.J., Sharkey P.M. Sparse modeling using orthogonal forest regression with PRESS statistic and regularization. IEEE Transactions on Systems, Man, and Cybernetics 2004, 34:898-911.
19. Coley P.D., Kursar T.A., Machado J.-L. Colonization of tropical rain forest leaves by epiphylls: Effects of site and host-plant leaf lifetime. Ecology 1993, 74:619-623.
20. Colgan M., Baldeck C., Féret J.-B., Asner G. Mapping savanna tree species at ecosystem scales using support vector machine classification and BRDF correction on airborne hyperspectral and LiDAR data. Remote Sensing 2012, 4:3462-3480.
21. Cuevas E., Medina E. Nutrient dynamics within amazonian forests II. Fine root growth, nutrient availability and leaf litter decomposition. Oecologia 1988, 76:222-235.
22. Curran P.J. Remote sensing of foliar chemistry. Remote Sensing of Environment 1989, 30:271-278.
23. Demarty M., Morvan C., Thellier M. Calcium and the cell wall. Plant, Cell and Environment 1984, 7:441-448.
24. 3 plants. Oecologia 1989, 78:9-19.
25. Feilhauer H., Asner G.P., Martin R.E., Schmidtlein S. Brigthness-normalized partial least squares regression for hyperspectral data. Journal of Quantitative Spectroscopy and Radiative Transfer 2010, 111:1947-1957.
26. Feret J.-B., François C., Asner G.P., Gitelson A.A., Martin R.E., Bidel L.P.R., et al. PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments. Remote Sensing of Environment 2008, 112:3030-3043.
27. Fyllas N., Patiño S., Baker T., Bielefeld Nardoto G., Martinelli L., Quesada C., et al. Basin-wide variations in foliar properties of Amazonian forest: Phylogeny, soils and climate. Biogeosciences 2009, 6:2677-2708.
28. Gerard F.F., North P.R.J. Analyzing the effect of structural variability and canopy gaps on forest BRDF using a geometric-optical model. Remote Sensing of Environment 1997, 62:46-62.
29. Girardin C.A.J., Malhi Y., AragÃO L.E.O.C., Mamani M., Huaraca Huasco W., Durand L., et al. Net primary productivity allocation and cycling of carbon along a tropical forest elevational transect in the Peruvian Andes. Global Change Biology 2010, 16:3176-3192.
30. Goetz A.F.H., Vane G., Solomon J.E., Rock B.N. Imaging spectrometry for Earth remote sensing. Science 1985, 228:1147-1153.
31. Green R.O., Eastwood M.L., Sarture C.M., Chrien T.G., Aronsson M., Chippendale B.J., et al. Imaging spectroscopy and the airborne visible infrared imaging spectrometer (AVIRIS). Remote Sensing of Environment 1998, 65:227-248.
32. Haaland D.M., Thomas E.V. Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information. Analytical Chemistry 1988, 60:1193-1202.
33. Homolová L., Malenovsky Z., Clevers J.G.P.W., García-Santos G., Schaepman M.E. Review of optical-based remote sensing for plant trait mapping. Ecological Complexity 2013, 15:1-16.
34. Jacquemoud S., Verhoef W., Baret F., Bacour C., Zarco-Tejada P.J., Asner G.P., et al. PROSPECT plus SAIL models: A review of use for vegetation characterization. Remote Sensing of Environment 2009, 113:S56-S66.
35. Kampe T.U., Asner G.P., Green R.O., Eastwood M., Johnson B.R., Kuester M. Advances in airborne remote sensing of ecosystem processes and properties - Toward high-quality measurement on a global scale. Remote sensing and modeling of ecosystems for sustainability VII 2010, 7809. Proc. SPIE. W. Gao, T.J. Jackson, J. Wang (Eds.).
36. Kitajima K., Mulkey S.S., Wright S.J. Variation in crown light utilization characteristics among tropical canopy trees. Annals of Botany 2005, 95:535-547.
37. Knox N.M., Skidmore A.K., Prins H.H.T., Asner G.P., van der Werff H.M.A., de Boer W.F., et al. Dry season mapping of savanna forage quality, using the hyperspectral Carnegie Airborne Observatory sensor. Remote Sensing of Environment 2011, 115:1478-1488.
38. Knyazikhin Y., Schull M.A., Stenberg P., MÃμttus M., Rautiainen M., Yang Y., et al. Hyperspectral remote sensing of foliar nitrogen content. Proceedings of the National Academy of Sciences 2013, 110:E185-E192.
39. Kokaly R.F., Asner G.P., Ollinger S.V., Martin M.E., Wessman C.A. Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies. Remote Sensing of Environment 2009, 113:S78-S91.
40. Kruse F.A., Lefkoff A.B., Boardman J.B., Heidebrecht K.B., Shapiro A.T., Barloon P.J., et al. The spectral image processing system (SIPS) - Interactive visualization and analysis of imaging spectrometer data. Remote Sensing of Environment 1993, 44:145-163.
41. Martens H. Reliable and relevant modelling of real world data: A personal account of the development of PLS Regression. Chemometrics and Intelligent Laboratory Systems 2001, 58:85-95.
42. Martin M.E., Aber J.D. High spectral resolution remote sensing of forest canopy lignin, nitrogen, and ecosystem processes. Ecological Applications 1997, 7:431-444.
43. Martin M.E., Plourde L.C., Ollinger S.V., Smith M.-L., McNeil B.E. A generalizable method for remote sensing of canopy nitrogen across a wide range of forest ecosystems. Remote Sensing of Environment 2008, 112:3511-3519.
44. Melillo J.M., Aber J.D., Muratore J.F. Nitrogen and lignin control of hardwood leaf litter decomposition dynamics. Ecology 1982, 63:621-626.
45. Myneni R.B., Asrar G. Radiative transfer in three-dimensional atmosphere-vegetation media. Journal of Quantitative Spectroscopy and Radiative Transfer 1993, 49:585-598.
46. Myneni R.B., Ross J., Asrar G. A review on the theory of photon transport in leaf canopies. Agricultural and Forest Meteorology 1989, 45:1-153.
47. Ollinger S.V. Sources of variability in canopy reflectance and the convergent properties of plants. New Phytologist 2011, 189:375-394.
48. Peacock J., Baker T.R., Lewis S.L., Lopez-Gonzalez G., Phillips O.L. The RAINFOR database: Monitoring forest biomass and dynamics. Journal of Vegetation Science 2007, 18:535-542.
49. Peterson D.L., Aber J.D., Matson P.A., Card D.H., Swanberg N., Wessman C., et al. Remote sensing of canopy and leaf biochemical contents. Remote Sensing of Environment 1988, 24:85-108.
50. Poorter H., Niinemets U., Poorter L., Wright I.J., Villar R. Causes and consequences of variation in leaf mass per area (LMA): A meta-analysis. New Phytologist 2009, 182:565-588.
51. Reich P.B., Ellsworth D.S., Uhl C. Leaf carbon and nutrient assimilation and conservation in species of differing successional status in an oligotrophic Amazonian forest. Functional Ecology 1995, 9:65-76.
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. Geophysical Research Letters 2010, 37:L05401.
53. Serbin S.P., Singh A., McNeil B.E., Kingdon C.C., Townsend P.A. Spectroscopic determination of leaf morphological and biochemical traits for northern temperate and boreal tree species. Ecological Applications 2014, 24:1651-1669.
54. Simonson W.D., Coomes D.A., Burslem D.F.R.P. Forests and global change: An overview. Forests and global change 2014, 1-19. Cambridge University Press, Cambridge, U.K. D.A. Coomes, D.F.R.P. Burslem, W.D. Simonson (Eds.).
55. Skidmore A.K., Ferwerda J.G., Mutanga O., Van Wieren S.E., Peel M., Grant R.C., et al. Forage quality of savannas - Simultaneously mapping foliar protein and polyphenols for trees and grass using hyperspectral imagery. Remote Sensing of Environment 2010, 114:64-72.
56. Souza C., Roberts D.A., Cochrane M.A. Combining spectral and spatial information to map canopy damages from selective logging and forest fires. Remote Sensing of Environment 2005, 98:329-343.
57. Stuffler T., Kaufmann C., Hofer S., Förster K.P., Schreier G., Mueller A., et al. The EnMAP hyperspectral imager - An advanced optical payload for future applications in Earth observation programmes. Acta Astronautica 2007, 61:115-120.
58. Townsend A.R., Asner G.P., Cleveland C.C. The biogeochemical heterogeneity of tropical forests. Trends in Ecology and the Environment 2008, 23:424-431.
59. Townsend P.A., Foster J.R., Chastain R.A., Currie W.S. Application of imaging spectroscopy to mapping canopy nitrogen in the forests of the central Appalachian Mountains using Hyperion and AVIRIS. IEEE Transactions on Geoscience and Remote Sensing 2003, 41:1347.
60. Tuomisto H., Poulsen A.D., Ruokolainen K., Moran R.C., Quintana C., Celi J., et al. Linking floristic patterns with soil heterogeneity and satellite imagery in Ecuadorian Amazonia. Ecological Applications 2003, 13:352-371.
61. Ustin S.L., Gitelson A.A., Jacquemoud S., Schaepman M., Asner G.P., Gamon J.A., et al. Retrieval of foliar information about plant pigment systems from high resolution spectroscopy. Remote Sensing of Environment 2009, 113(Supplement 1):S67-S77.
62. Ustin S.L., Roberts D.A., Gamon J.A., Asner G.P., Green R.O. Using imaging spectroscopy to study ecosystem processes and properties. Bioscience 2004, 54:523-534.
63. Vitousek P.M. Nutrient cycling and nutrient use efficiency. American Naturalist 1982, 119:553-572.
64. Wessman C.A. Imaging spectrometry for remote sensing of ecosystem processes. Advances in Space Research 1992, 12:7361-7368.
65. Wessman C.A., Aber J.D., Peterson D.L., Melillo J.M. Foliar analysis using near infrared reflectance spectroscopy. Canadian Journal of Forest Research 1988, 18:6-11.
66. Wessman C.A., Aber J.D., Peterson D.L., Melillo J.M. Remote sensing of canopy chemistry and nitrogen cycling in temperate forest ecosystems. Nature 1988, 335:154-156.
67. Wright I.J., Reich P.B., Westoby M., Ackerly D.D., Baruch Z., Bongers F., et al. The worldwide leaf economics spectrum. Nature 2004, 428:821-827.