Tracking plant physiological properties from multi-angular tower-based remote sensing

Oecologia

Volumn 165, Issue 4, 2011, Pages 865-876

  Hilker, Thomas ^a   Gitelson, Anatoly ^b   Coops, Nicholas C ^a   Hall, Forrest G ^c,d   Black, T Andrew ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^c UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^d NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

AMSPEC; Carotenoid; Chlorophyll; Light use efficiency; Phenology; Prosail; Radiative transfer

Indexed keywords

CAROTENOID; CHLOROPHYLL;

ANISOTROPY; CANOPY ARCHITECTURE; CARBON FLUX; CAROTENOID; CHLOROPHYLL; CONIFEROUS TREE; DECIDUOUS TREE; LAND SURFACE; LIGHT USE EFFICIENCY; RADIATIVE TRANSFER; REMOTE SENSING; SEASONAL VARIATION; WATER BUDGET;

ARTICLE; CANADA; ENVIRONMENTAL MONITORING; EVALUATION; METABOLISM; METHODOLOGY; PHYSIOLOGY; PLANT LEAF; PLANT PHYSIOLOGY; RADIATION EXPOSURE; REMOTE SENSING; SEASON; SUNLIGHT; TEMPERATURE; TIME;

CANADA; CAROTENOIDS; CHLOROPHYLL; ENVIRONMENTAL MONITORING; PLANT LEAVES; PLANT PHYSIOLOGICAL PHENOMENA; REMOTE SENSING TECHNOLOGY; SEASONS; SUNLIGHT; TEMPERATURE; TIME FACTORS;

CANADA;

CONIFEROPHYTA;

EID: 79952707407     PISSN: 00298549     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00442-010-1901-0     Document Type: Article

References (71)

1. Baldocchi DD (2003) Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future. Glob Change Biol 9: 479-492.
2. Baldocchi D 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. Bull Am Meteorol Soc 82: 2415-2434.
3. Baret F, Jacquemoud S, Guyot G, Leprieur C (1992) Modeled analysis of the biophysical nature of spectral shirts and comparison with information content of broad bands. Remote Sens Environ 41: 133-142.
4. Barr AG, Black TA, Hogg EH, Kljun N, Morgenstern K, Nesic Z (2004) Inter-annual variability in the leaf area index of a boreal aspen-hazelnut forest in relation to net ecosystem production. Agric For Meteorol 126: 237-255.
5. Barr AG et al (2007) Climatic controls on the carbon and water balances of a boreal aspen forest, 1994-2003. Glob Change Biol 13: 561-576.
6. Bicheron P, Leroy M (1999) A method of biophysical parameter retrieval at global scale by inversion of a vegetation reflectance model. Remote Sens Environ 67: 251-266.
7. Chen J, Leblanc S (1997) A four-scale bidirectional reflectance model based on canopy architecture. IEEE Trans Geosci Remote Sens 35: 1316-1337.
8. Chen JM, Liu J, Leblanc SG, Lacaze R, Roujean JL (2003) Multi-angular optical remote sensing for assessing vegetation structure and carbon absorption. Remote Sens Environ 84: 516-525.
9. Chen JM, Govind A, Sonnentag O, Zhang YQ, Barr A, Amiro BD (2006) Leaf area index measurements at Fluxnet-Canada forest sites. Agric For Meteorol 140: 257-268.
10. Coleman TF, Li YY (1996) An interior trust region approach for nonlinear minimization subject to bounds. SIAM J Optim 6: 418-445.
11. Coleman TF, Liu JG, Yuan W (2002) A new trust-region algorithm for equality constrained optimization. Comput Optim Appl 21: 177-199.
12. Damm A et al (2010) Remote sensing of sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP). Glob Change Biol 16: 171-186.
13. Field C, Chapin F III, Matson P, Mooney H (1992) Responses of terrestrial ecosystems to the changing atmosphere: a resource-based approach. Annu Rev Ecol Syst 23: 201-235.
14. Filella I, Porcar-Castell A, Munne-Bosch S, Back J, Garbulsky MF, Penuelas J (2009) PRI assessment of long-term changes in carotenoids/chlorophyll ratio and short-term changes in de-epoxidation state of the xanthophyll cycle. Int J Remote Sens 30: 4443-4455.
15. Gamon JA, Penuelas J, Field CB (1992) A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sens Environ 41: 35-44.
16. Gamon JA, Filella I, Penuelas J (eds) (1993) The dynamic 531-nanometer reflectance signal: a survey of twenty angiosperm species. American Society of Plant Physiologists, Rockville.
17. Gao W, Schaaf CB (2003) Detecting vegetation structure using a kernel-based BRDF model. Remote Sens Environ 86: 198-205.
18. Gitelson AA, Buschmann C, Lichtenthaler HK (1999) The chlorophyll fluorescence ratio F-735/F-700 as an accurate measure of the chlorophyll content in plants. Remote Sens Environ 69: 296-302.
19. Gitelson AA, Gritz Y, Merzlyak MN (2003) Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. J Plant Physiol 160: 271-282.
20. Gitelson AA, Vina A, Ciganda V, Rundquist DC, Arkebauer TJ (2005) Remote estimation of canopy chlorophyll content in crops. Geophys Res Lett 32.
21. Gitelson AA et al (2006) Relationship between gross primary production and chlorophyll content in crops: implications for the synoptic monitoring of vegetation productivity. J Geophys Res Atmos 111: 1-13.
22. Goel NS, Strebel DE (1983) Inverstion of vegetation canopy reflectance models for estimating agronomic variables. 1. Problem definition and initial results using the suits model. Remote Sens Environ 13: 487-507.
23. Goel NS, Thompson RL (1984) Inverstion of vegetation canopy reflectance models for estimating agronomic variables. 4. Total inversion of the SAIL model. Remote Sens Environ 15: 237-253.
24. Hall FG, Townshend JR, Engman ET (1995) Status of remote-sensing algorithms for estimation of land-surface state parameters. Remote Sens Environ 51: 138-156.
25. Hall FG et al (2008) Multi-angle remote sensing of forest light use efficiency by observing PRI variation with canopy shadow fraction. Remote Sen Environ 112: 3201-3211.
26. Hilker T, Coops NC, Nesic Z, Wulder MA, Black AT (2007) Instrumentation and approach for unattended year round tower-based measurements of spectral reflectance. Comput Electron Agric 56: 72-84.
27. Hilker T et al (2008) Separating physiologically and directionally induced changes in PRI using BRDF models. Remote Sens Environ 112: 2777-2788.
28. Hilker T et al (2010a) Remote sensing of photosynthetic light-use efficiency across two forested biomes: spatial scaling. Remote Sens Environ 114: 2863-2874.
29. Hilker T, Nesic Z, Coops NC, Lessard D (2010b) A new, automated, multi-angular radiometer instrument for tower-based observation of canopy reflectance (AMSPEC II). Instrum Sci Technol 38: 319.
30. Humphreys ER et al (2006) Carbon dioxide fluxes in coastal douglas-fir stands at different stages of development after clearcut harvesting. Agric For Meteorol 140: 6-22.
31. Jacquemoud S, Bacour C, Poilve H, Frangi JP (2000) Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode. Remote Sens Environ 74: 471-481.
32. Jacquemoud S et al (2009) PROSPECT plus SAIL models: a review of use for vegetation characterization. Remote Sens Environ 113: S56-S66.
33. Jassal RS et al (2007) Components of ecosystem respiration and an estimate of net primary productivity of an intermediate-aged douglas-fir stand. Agric For Meteorol 144: 44-57.
34. Kempeneers P et al (2008) Model inversion for chlorophyll estimation in open canopies from hyperspectral imagery. Int J Remote Sens 29: 5093-5111.
35. Kuusk A (1998) Monitoring of vegetation parameters on large areas by the inversion of a canopy reflectance model. Int J Remote Sens 19: 2893-2905.
36. Lewandowska M, Jarvis PG (1977) Changes in chlorophyll and carotenoid content, specific leaf area and dry-weight fraction in sitka spruce, in response to shading and season. New Phytol 79: 247-256.
37. Li XW, Strahler AH (1985) Geometric-optical modeling of a conifer forest canopy. IEEE Trans Geosci Remote Sens 23: 705-721.
38. Los SO, North PRJ, Grey WMF, Barnsley MJ (2005) A method to convert AVHRR normalized difference vegetation index time series to a standard viewing and illumination geometry. Remote Sens Environ 99: 400-411.
39. Lowman M, D'Avanzo C, Brewer C (2009) A national ecological network for research and education. Science 323: 1172-1173.
40. Matsubara S et al (2008) Lutein epoxide cycle, light harvesting and photoprotection in species of the tropical tree genus Inga. Plant Cell Environ 31: 548-561.
41. Meroni M, Colombo R, Panigada C (2004) Inversion of a radiative transfer model with hyperspectral observations for Lai mapping in poplar plantations. Remote Sens Environ 92: 195-206.
42. Merzlyak MN, Gitelson AA, Chivkunova OB, Solovchenko AE, Pogosyan SI (2003) Application of reflectance spectroscopy for analysis of higher plant pigments. Russ J Plant Physiol 50: 704-710.
43. Monteith JL (1972) Solar-radiation and productivity in tropical ecosystems. J Appl Ecol 9: 747-766.
44. Monteith JL (1977) Climate and efficiency of crop production in Britain. Philos Trans R Soc Lond B 281: 277-294.
45. Morgenstern K et al (2004) Sensitivity and uncertainty of the carbon balance of a pacific northwest douglas-fir forest during an El Nino La Nina cycle. Agric For Meteorol 123: 201-219.
46. Myneni R, Hall F, Sellers P, Marshak A (1995) The interpretation of spectral vegetation indexes. IEEE Trans Geosci Remote Sens 33: 481-486.
47. Ozanne CMP et al (2003) Biodiversity meets the atmosphere: a global view of forest canopies. Science 301: 183-186.
48. Price J (1992) Estimating vegetation amount from visible and near infrared reflectances. Remote Sens Environ 41: 29-34.
49. Privette JL, Emery WJ, Schimel DS (1996) Inversion of a vegetation reflectance model with NOAA AVHRR data. Remote Sens Environ 58: 187-200.
50. Richardson AD, Jenkins JP, Braswell BH, Hollinger DY, Ollinger SV, Smith ML (2007) Use of digital webcam images to track spring green-up in a deciduous broadleaf forest. Oecologia 152: 323-334.
51. Richardson AD, Hollinger DY, Dail DB, Lee JT, Munger JW, O'Keefe J (2009) Influence of spring phenology on seasonal and annual carbon balance in two contrasting New England forests. Tree Physiol 29: 321-331.
52. Ross JK (1981) The radiation regime and architecture of plant stands. Junk, The Hague.
53. Roujean JL, Leroy M, Deschamps PY (1992) A bidirectional reflectance model of the earths surface for the correction of remote-sensing data. J Geophys Res Atmos 97: 20455-20468.
54. 2 flux over plant canopies and solar radiation: a review. Adv Ecol Res 26: 1-63.
55. Sellers P et al (1995) The Boreal Ecosystem-Atmosphere Study (BOREAS): an overview and early results from the 1994 field year. Bull Am Meteorol Soc 76: 1549-1577.
56. Sims DA, Gamon JA (2002) Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sens Environ 81: 337-354.
57. Stylinski CD, Gamon JA, Oechel WC (2002) Seasonal patterns of reflectance indices, carotenoid pigments and photosynthesis of evergreen chaparral species. Oecologia 131: 366-374.
58. Suits GH (1972) The calculation of the directional reflectance of a vegetative canopy. Remote Sens Environ 2: 117-125.
59. Tanja S et al (2003) Air temperature triggers the recovery of evergreen boreal forest photosynthesis in spring. Glob Change Biol 9: 1410-1426.
60. Ustin SL et al (2009) Retrieval of foliar information about plant pigment systems from high resolution spectroscopy. Remote Sens Environ 113: S67-S77.
61. Verhoef W (1984) Light scattering by leaf layers with application to canopy reflectance modeling: the SAIL model. Remote Sens Environ 16: 125-141.
62. Verrelst J, Schaepman ME, Koetz B, Kneubuhler M (2008) Angular sensitivity analysis of vegetation indices derived from CHRIS/PROBA data. Remote Sens Environ 112: 2341-2353.
63. Verstraete MM, Pinty B (2001) Introduction to special section: modeling, measurement, and exploitation of anisotropy in the radiation field. J Geophys Res Atmos 106: 11903-11907.
64. Verstraete MM, Pinty B, Myneni RB (1996) Potential and limitations of information extraction on the terrestrial biosphere from satellite remote sensing. Remote Sens Environ 58: 201-214.
65. Wanner W, Li X, Strahler A (1995) On the derivation of kernels for kernel-driven models of bidirectional reflectance. J Geophys Res 100: 21077-21089.
66. Weiss M, Baret F, Myneni RB, Pragnere A, Knyazikhin Y (2000) Investigation of a model inversion technique to estimate canopy biophysical variables from spectral and directional reflectance data. Agronomie 20: 3-22.
67. Yoder B, Waring R (1994) The normalized difference vegetation index of small douglas-fir canopies with varying chlorophyll concentrations. Remote Sens Environ 49: 81-91.
68. Zarco-Tejada PJ, Miller JR, Morales A, Berjon A, Aguera J (2004) Hyperspectral indices and model simulation for chlorophyll estimation in open-canopy tree crops. Remote Sens Environ 90: 463-476.
69. Zhang QY et al (2006) Characterization of seasonal variation of forest canopy in a temperate deciduous broadleaf forest, using daily MODIS data. Remote Sens Environ 105: 189-203.
70. Zhang YQ, Chen JM, Thomas SC (2007) Retrieving seasonal variation in chlorophyll content of overstory and understory sugar maple leaves from leaf-level hyperspectral data. Can J Remote Sens 33: 406-415.
71. Zhang YQ, Chen JM, Miller JR, Noland TL (2008) Leaf chlorophyll content retrieval from airborne hyperspectral remote sensing imagery. Remote Sens Environ 112: 3234-3247.