Estimating forest LAI profiles and structural parameters using a ground-based laser called 'Echidna®

Tree Physiology

Volumn 29, Issue 2, 2009, Pages 171-181

  Jupp, David L B ^a   Culvenor, D S ^a   Lovell, J L ^a   Newnham, G J ^a   Strahler, A H ^b   Woodcock, C E ^b  

^a CSIRO   (Australia)

^b BOSTON UNIVERSITY   (United States)

Author keywords

Foliage profile; Forest measurement; Laser scanning; Leaf area index; Vegetation canopies; Vegetation structure

Indexed keywords

FOREST CANOPY; GAP DYNAMICS; LASER METHOD; LEAF AREA INDEX; VEGETATION COVER; VEGETATION STRUCTURE;

ARTICLE; HISTOLOGY; LASER; PHOTOSYNTHESIS; PLANT LEAF; PONDEROSA PINE; THEORETICAL MODEL; TREE;

LASERS; MODELS, THEORETICAL; PHOTOSYNTHESIS; PINUS PONDEROSA; PLANT LEAVES; TREES;

EID: 64349093258     PISSN: 0829318X     EISSN: 17584469     Source Type: Journal    
DOI: 10.1093/treephys/tpn022     Document Type: Article

References (44)

1. Anderson, M.C. 1971. Radiation and crop structure. In Plant Photosynthetic Production/Manual of Methods. Eds. Z. Sestak, J. Catsky and P.G. Jarvis. The Hague, pp 412-466.
2. Anderssen, R.S., D.R. Jackett, D.L.B. Jupp and J.M. Norman. 1985. Interpretation and simple formulas for some key linear functionals of the foliage angle distribution. Agric. For. Meteorol. 36:165-188.
3. Andrew, M.H., I.R. Noble and R.T. Lange. 1979. A nondestructive method for estimating the weight of forage on shrubs. Aust. J. Range. 1:225-231.
4. Andrieu, B., Y. Sohbi and N. Ivanov. 1994. A direct method to measure bidirectional gap fraction in vegetation canopies. Remote Sens. Environ. 50:61-66.
5. Blair, J.B., D.B. Coyle, J.L. Bufton and D.J. Harding. 1994. Optimization of an airborne laser altimeter for remote sensing of vegetation and tree canopies. In Proceedings of IGARSS'94, Pasadena, CA VolII:939-941.
6. Blair, J.B., D.L. Rabine and M.A. Hofton. 1999. The laser vegetation imaging system; a medium-altitude digitisationonly, airborne laser altimeter for mapping vegetation and topography. ISPRS J. Photogramm. Remote Sens. 54: 115-122.
7. Bonhomme, R. 1976. Determination des profiles d'indice foliare et de rayonnment dans un couvert vegetal a l'aide de photgraphies hemispheriques faites in situ. Ann. Agron. 27:33-59.
8. Bonhomme, R. and P. Chartier. 1972. The interpretation and automatic measurement of hemispherical photographs to obtain sunlit foliage area and gap frequency. Isr. J. Agric. Res. 22:53-61.
9. Bréda, N.J.J. 2003. Ground-based measurements of leaf area index: a review of methods, instruments and current controversies. J. Exp. Bot. 54:2403-2417.
10. Campbell, G.S. 1986. Extinction coefficients for radiation In plant canopies calculated using an ellipsoidal inclination angle distribution. Agric. For. Meteorol. 36:317-321.
11. Chen, J.M. and J. Cihlar. 1995a. Quantifying the effect of canopy architecture on optical measurements of leaf area index using two gap size analysis methods. IEEE Trans. Geosci. Remote Sens. 33:777-787.
12. Chen, J.M. and J. Cihlar. 1995b. Plant canopy gap size analysis theory for improving optical measurements of leaf area index. Appl. Optics 34:6211-6222.
13. Chen, J.M., T.A. Black and R.S. Adams. 1991. Evaluation of hemispherical photography for determining plant area index and geometry of a forest stand. Agric. For. Meteorol. 56: 129-143.
14. Cherry, M., C. Macfarlane, P. Smethurst and C. Beadle. 2002. Visual guide to leaf area index of Eucalypt plantations. Cooperative Research Centre for Sustainable Production Forestry, Hobart, 24
15. Imhoff, M.L., P. Johnson, W. Holford, J. Hyer, L. May, W. Lawrence and P. Harcombe. 2000. BioSAR (TM): an inexpensive airborne VHF multiband SAR system for vegetation biomass measurement. IEEE Trans. Geosci. Remote Sens. 38:1458-1462.
16. Jonckheere, I., S. Fleck, K. Nackaerts, B. Muys, P. Coppin, M. Weiss and F. Baret. 2004. Review of methods for in situ leaf area index determination. Part I. Theories, sensors and hemispherical photography. Agric. For. Meteorol. 121:19-35. (Pubitemid 38086338)
17. Jupp, D.L.B. and J.L. Lovell. 2005. Airborne and ground-based lidar systems for forest measurement: background and principles. CSIRO Marine and Atmospheric Research Paper 017, available at http://www.cmar.csiro.au/ publications/ cmarseries/frame.html, 151
18. Jupp, D.L.B., D.S. Culvenor, J.L. Lovell and G.J. Newnham. 2005. Evaluation and validation of canopy laser radar (LIDAR) systems for native and plantation forest inventory. Final Report prepared for the Forest and Wood Products Research and Development Corporation (FWPRDC: PN 02.2902) by CSIRO. Available as CSIRO Marine and Atmospheric Research Paper 020 at http://www.cmar. csiro.au/publications/cmarseries/frame.html, 150
19. Kucharick, C.J., J.M. Norman and S.T. Gower. 1999. Characterization of radiation regimes in non-random forest canopies: theory, measurements, and a simplified modeling approach. Tree Physiol. 19:695-706.
20. Lang, A.R.G. 1987. Simplified estimate of leaf area index from transmittance of the sun's beam. Agric. For. Meteorol. 41:179-186.
21. Lang, A.R.G. 1991. Application of some of Cauchy's theorems to estimation of surface areas of leaves, needles and branches, and light transmittance. Agric. For. Meteorol. 55:191-212.
22. Law, B.E., S. Van Tuyl, A. Cescatti and D.D. Baldocchi. 2001. Estimation of leaf area index in open-canopy ponderosa pine forests at different successional stages and management regimes in Oregon. Agric. For. Meteorol. 108:1-14.
23. Leblanc, S.G., J. Chen, R. Fernandes, D.W. Deering and A. Conley. 2005. Methodology comparison for canopy structure parameters extraction from digital hemispherical photography in boreal forests. Agric. For. Meteorol. 129:187-207.
24. Lefsky, M.A., D. Harding, W.B. Cohen, G. Parker and H.H. Shugart. 1999a. Surface lidar remote sensing of basal area and biomass in deciduous forests of eastern Maryland, USA. Remote Sens. Environ. 67:83-98.
25. Lefsky, M.A., W.B. Cohen, A. Acker, G.G. Parker, T.A. Spies and D. Harding. 1999b. Lidar remote sensing of the canopy structure and biophysical properties of Douglas-Fir Western Hemlock forests. Remote Sens. Environ. 70: 339-361.
26. MacArthur, R.H. and H.S. Horn. 1969. Foliage profile by vertical measurements. Ecology 50:802-804.
27. Measures, R.M. 1992. Laser remote sensing: fundamentals and applications. Krieger Publishing Company, Malabar, Florida, 510
28. Miller, J.B. 1964. An integral equation from phytology. J. Aust. Mathematical Soc. 4:397-402.
29. Miller, J.B. 1967. A formula for average foliage density. Aust. J. Bot. 15:141-144.
30. Nilson, T. 1971. A theoretical analysis of the frequency of gaps in plant stands. Agric. Meteorol. 8:25-38.
31. Nilson, T. 1999. Inversion of gap frequency data in forest stands. Agric. For. Meteorol. 98-99:437-448.
32. Nilson, T. and A. Kuusk. 2004. Improved algorithm for estimating canopy indices from gap fraction data in forest canopies. Agric. For. Meteorol. 124:157-169.
33. Ni-Meister, W., D.L.B. Jupp and R. Dubayah. 2001. Modeling Lidar waveforms in heterogeneous and discrete canopies. IEEE Trans. Geosci. Remote Sens. 39(9):1943-1958.
34. Parker, G.G., D.J. Harding and M.L. Berger. 2004. A portable LIDAR system for rapid determination of forest canopy structure. J. Appl. Ecol. 41(4):755-767.
35. Rich, P.M. 1990. Characterising plant canopies with hemispherical photographs. In Instrumentationfor studying vegetation canopies for remote sensing in optical and thermal infrared regions. Eds. N.S. Goel and J.M. Norman. Remote Sens. Rev. 5:13-29.
36. Ross, J.K. 1981. The radiation regime and architecture of plant stands. Junk Publishers, The Hague, Netherlands, 391
37. Serra, J. 1982. Image analysis and mathematical morphology. Academic Press, London, 610
38. Steers, J.A. 1962. An introduction to the study of map projections. University of London.
39. Walker, J. and M.S. Hopkins. 1990. Vegetation. In Australian Soil and Land Survey Field Handbook. Eds. R.C. McDonald, R.F. Isbell, J.G. Speight, J. Walker and M.S. Hopkins. 2nd Edn. Inkata Press, Melbourne, pp 58-86.
40. Walter, J.-M.N., R.A. Fournier, K. Soudani and E. Meyer. 2003. Integrating clumping effects in forest canopy structure: an assessment through hemispherical photographs. Can. J. Remote Sens. 29:388-410.
41. Warren Wilson, J. 1959. Analysis of the spatial distribution of foliage by means of two-dimensional point quadrats. New Phytol. 58:92-101.
42. Warren Wilson, J. 1960. Inclined point quadrats. New Phytol. 59:1-8.
43. Warren Wilson, J. 1963. Estimation of foliage denseness and foliage angle by inclined point quadrats. Aust. J. Bot. 11: 95-105.
44. Warren Wilson, J. 1965. Stand structure and light penetration. I. Analysis by point quadrats. J. Appl. Ecol. 2:383-390.