Characterising forest gap fraction with terrestrial lidar and photography: An examination of relative limitations

Agricultural and Forest Meteorology

Volumn 189-190, Issue , 2014, Pages 105-114

  Hancock, Steven ^a   Essery, Richard ^b   Reid, Tim ^b   Carle, Joël ^c   Baxter, Robert ^c   Rutter, Nick ^d   Huntley, Brian ^c  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

^c DURHAM UNIVERSITY   (United Kingdom)

^d NORTHUMBRIA UNIVERSITY   (United Kingdom)

Author keywords

Biomass; Lidar; Tree height

Indexed keywords

BIOMASS; CANOPY ARCHITECTURE; CONIFEROUS FOREST; ERROR ANALYSIS; FOREST CANOPY; GAP DYNAMICS; HEIGHT; LIDAR; PHOTOGRAPHY; SCANNER;

ABISKO; FINLAND; LAPPI [FINLAND]; NORRBOTTEN; SODANKYLA; SWEDEN;

EID: 84893486063     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2014.01.012     Document Type: Article

References (36)

1. Armston J., Disney M., Lewis P., Scarth P., Phinn S., Lucas R., Bunting P., Goodwin N. Direct retrieval of canopy gap probability using airborne waveform lidar. Remote Sensing of Environment 2013, 134:24-38.
2. Baltsavias E.P. Airborne laser scanning: basic relations and formulas. ISPRS Journal of Photogrammetry & Remote Sensing 1999, 54:199-214.
3. Bréda N.J.J. Ground-based measurements of leaf area index: a review of methods, instruments and controversies. Journal of Experimental Botany 2003, 54:2403-2417.
4. Chen J.M., Cihlar J. Plant canopy gap-size analysis theory for improving optical measurements of leaf-area index. Applied Optics 1995, 34:6211-6222.
5. Clark D.B., Mercado L.M., Sitch S., Jones C.D., Gedney N., Best M.J., Pryor M., Rooney G.G., Essery R.L.H., Blyth E., Boucher O., Harding R.J., Huntingford C., Cox P.M. The joint UK land environment simulator (JULES), model description - part 2: Carbon fluxes and vegetation dynamics. Geoscientific Model Development 2011, 4:701-722.
6. CÔté J.-F., Fournier R.A., Frazer G.W., Niemann K.O. A fine-scale architectural model of trees to enhance lidar-derived measurements of forest canopy structure. Agricultural and Forest Meteorology 2012, 166:72-85.
7. CÔte J.-F., Widlowski J.-L., Fournier R.A., Verstraete M.M. The structural and radiative consistency of three-dimensional tree reconstructions from terrestrial lidar. Remote Sensing of Environment 2009, 113:1067-1081.
8. Danson F.M., Hetherington D., Morsdorf F., Koetz B., Allgöwer B. Forest canopy gap fraction from terrestrial laser scanning. IEEE Geoscience and Remote Sensing Letters 2007, 4:157-160.
9. Disney M., Lewis P., North P. Monte Carlo ray tracing in optical canopy reflectance modelling. Remote Sensing Reviews 2000, 18:163-196.
10. Disney M.I., Kalogirou V., Lewis P., Prieto-Blanco A., Hancock S., Pfeifer M. Simulating the impact of discrete-return lidar system and survey characteristics over young conifer and broadleaf forests. Remote Sensing of Environment 2010, 114:1546-1560.
11. Douglas E.S., Strahler A., Martel J., Cook T., Mendillo C., Marshall R., Chakrabarti S., Schaaf C., Woodcock C., Li Z., Yang X., Culvenor D., Jupp D., Newnham G., Lovell J. DWEL: A Dual-Wavelength Echidna Lidar for Ground-based Forest Scanning, Geoscience and Remote Sensing Symposium (IGARSS) 2012, 4998-5001. IEEE International.
12. Frazer G.W., Fournier R.A., Trofymow J.A., Hall R.J. A comparison of digital and film fisheye photography for analysis of forest canopy structure and gap light transmission. Agricultural and Forest Meteorology 2001, 109:249-263.
13. Gaulton R., Danson F.M., Ramirez F.A., Gunawan O. The potential of dual-wavelength laser scanning for estimating vegetation moisture content. Remote Sensing of Environment 2013, 132:32-39.
14. Hancock S. Understanding the measurement of forests with waveform lidar 2010, University College London, (Ph.D. Thesis), http://eprints.ucl.ac.uk/20221/.
15. Hancock S., Lewis P., Muller J.-P., Disney M. Using Monte-Carlo ray tracing to investigate the measurement of forest parameters with the echidna laser scanner. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 34. Proceedings of 10th ISPMSRS 2007.
16. Hosoi F., Nakai Y., Omasa K. 3-D voxel-based solid modeling of a broad-leaved tree for accurate volume estimation using portable scanning lidar. ISPRS Journal of Photogrammetry and Remote Sensing 2013, 82:41-48.
17. Hosoi F., Omasa K. Voxel-based 3-d modeling of individual trees for estimating leaf area density using high-resolution portable scanning lidar. IEEE Transactions on Geosciences and Remote Sensing 2006, 44:3610-3618.
18. Hosoi F., Omasa K. Factors contributing to accuracy in the estimation of the woody canopy leaf area density using 3d portable lidar imaging. Journal of Experimental Botany 2007, 58:3463-3473.
19. Huang P., Pretzsch H. Using terrestrial laser scanner for estimating leaf areas of individual trees in a conifer forest. Trees 2010, 24:609-619.
20. Jonckheere I., Nackaerts K., Muys B., Coppin P. Assessment of automatic gap fraction estimation of forests from digital hemispherical photography. Agricultural and Forest Meteorology 2005, 132:96-114.
21. Jupp D.L.B., Culvenor D.S., Lovell J.L., Newnham G.J., Strahler A.J., Woodcock C.E. Estimating forest lai profiles and structural parameters using a ground-based laser called echidna. Tree Physiology 2009, 29:171-181.
22. Lewis P. Three-dimensional plant modelling for remote sensing simulation studies using the botanical plant modelling system. Agronomie 1999, 19:185-210.
23. LI-COR LAI-2000 Plant Canopy Analyzer Instruction/Operating Manual 1992, LI-COR Inc., Lincoln, NE.
24. Liang S. Quantitative Remote Sensing of Land Surfaces 2004, John Wiley & Sons, Inc., Hoboken, NJ.
25. Musselman K.N., Margulis S.A., Molotch N.P. Estimation of solar direct beam transmittance of conifer canopies from airborne lidar. Remote Sensing of Environment 2013, 136:402-415.
26. Omasa K., Qiu G.Y., Watanuki K., Yoshimi K., Akiyama Y. Accurate estimation of forest carbon stocks by 3-d remote sensing of individual trees. Environmental Science & Technology 2003, 37:1198-1202.
27. Reid T., Essery R. New methods to quantify canopy structure of leafless boreal birch forest from hemispherical photographs. Open Journal of Forestry 2013, 3:70-74.
28. Reid T., Essery R., Rutter N., King M. Data-driven modelling of shortwave radiation transfer to snow through boreal birch and conifer canopies. Hydrological Processes 2013, 10.1002/hyp.9849.
29. Rutter N., Essery R.L.H., Pomeroy J., Altimir N., Andreadis K., Baker I., Barr A., Bartlett P., Boone A., Deng H., Douville H., Dutra E., Elder K., Ellis C., Feng X., Gelfan G., Goodbody A., Gusev Y., Gustafsson D., Hellstrom R., Hirabayashi Y., Hirota T., Jonas T., Koren V., Kuragina A., Lettenmaier D., Li W., Luce C., Martin E., Nasonova O., Pumpanen J., Pyles R., Sameulsson P., Sandells M., Schadler G., Shmakin A., Smirnova T., Stahli M., Stockli R., Strasser U., Su H., Suzuki K., Takata K., Tanaka K., Thompson E., Vesala T., Viturbo P., Wiltshire A., Xia K., Xue Y., Yamazaki T. Evaluation of forest snow processes models (snowmip2). Journal of Geophysical Research 2009, 114:D06111.
30. Seidel D., Fleck S., Leuschner C. Analyzing forest canopies with ground-based laser scanning: a comparison with hemispherical photography. Agricultural and Forest Meteorology 2012, 154-155:1-8.
31. ®). Canadian Journal of Remote Sensing 2008, 34:S426-S440.
32. Tansey K., Selmes N., Anstee A., Tata N.J., Denniss A. Estimating tree and stand variables in a corsican pine woodland from terrestrial laser scanner data. International Journal of Remote Sensing 2009, 30:5195-5209.
33. Wagner S. Relative radiance measurements and zenith angle dependent segmentation in hemispherical photography. Agricultural and Forest Meteorology 2001, 107:103-115.
34. Watt P.J., Donoghue D.J. Measuring forest structure with terrestrial laser scanning. International Journal of Remote Sensing 2005, 26:1437-1446.
35. Widlowski J.-L., Pinty B., Lavergne T., Verstraete M.M., Gobron N. Using 1-d models to interpret the reflectance anisotropy of 3-d canopy targets: issues and caveats. IEEE Transactions on Geoscience and Remote Sensing 2005, 43:2008-2017.
36. Zhao F., Yang X., Schull M.A., Román-Colón M.O., Yao T., Wang Z., Zhang Q., Jupp D.L., Lovell J.L., Culvenor D.S., Newnham G.J., Richardson A.D., Ni-Meister W., Schaaf C.L., Woodcock C.E., Strahler A.H. Measuring effective leaf area index, foliage profile, and stand height in new england forest stands using a full-waveform ground-based lidar. Remote Sensing of Environment 2011, 115:2954-2964.