A comparison of biophysical parameter retrieval for forestry using airborne and satellite LiDAR

International Journal of Remote Sensing

Volumn 30, Issue 19, 2009, Pages 5229-5237

  Rosette, J A ^a,b   North, P R J ^a   Suarez J C ^b   Armston, J D ^c  

^a SWANSEA UNIVERSITY   (United Kingdom)

^b FOREST RESEARCH   (United Kingdom)

^c Mines and Water   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ANEROID ALTIMETERS; FORESTRY; RADIO ALTIMETERS; SATELLITES; TIMBER; VEGETATION;

AIRBORNE LASER TERRAIN MAPPERS; AIRBORNE LIDAR DATA; BIOPHYSICAL PARAMETER RETRIEVALS; GEOSCIENCE LASER ALTIMETER SYSTEMS; ICE , CLOUD AND LAND ELEVATION SATELLITES; LIGHT DETECTION AND RANGING; SURFACE ELEVATIONS; VEGETATION CANOPY HEIGHT;

OPTICAL RADAR;

AIRBORNE SENSING; COMPARATIVE STUDY; DIGITAL ELEVATION MODEL; FOREST CANOPY; FORESTRY MODELING; HEIGHT DETERMINATION; LIDAR; SATELLITE DATA; SATELLITE IMAGERY; VEGETATION MAPPING;

FOREST CANOPY; FORESTRY; PLANTS; RADAR; SATELLITES;

CONIFEROPHYTA;

EID: 70449415016     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160903022944     Document Type: Article

References (20)

1. Boudreau, J., Nelson, R., Margolis, H., Beaudoin, A., Guindon, L. and Kimes, D., 2008, Regional aboveground biomass using airborne and spaceborne LiDAR in Québec. Remote Sensing of Environment, 112, pp. 3876-3890.
2. Boyd, D.S. and Hill, R.A., 2007, Validation of Airborne Lidar intensity values from a forested landscape using Hymap data: Preliminary analyses. International Archives of Photogrammetry and Remote Sensing, XXXVI (Part 3/W52), pp. 71-76.
3. Brenner, A., Zwally, H., Bentley, C., Csathò, B., Harding, B., Hofton, M., Minster, J.-B., Roberts, L., Saba, J., Thomas, R. and Yi, D., 2003, Algorithm Theoretical Basis Document V4.1. Available online at: http://www.csr.utexas.edu/glas (accessed March 2005).
4. Carabajal, C. and Harding, D., 2001, Evaluation of Geoscience Laser Altimeter System (GLAS) waveforms for vegetated landscapes using airborne laser scanning data. International Archives of Photogrammetry and Remote Sensing, XXXIV (October 3/W4), pp. 125-128.
5. Harding, D.J., Lefsky, M.A., Parker, G.G. and Blair, J.B., 2001, Laser altimeter canopy height profiles. Methods and validation for closed-canopy, broadleaf forests. Remote Sensing of Environment, 76, pp. 283-297.
6. HemiView2.1, 1999, HemiView Online Help, ©1999 Delta-T Devices Ltd. Available online at: www.delta-t.co.uk (accessed May 2008).
7. Lefsky, M.A., Cohen, W.B., Harding, D.J., Parker, G.G., Acker, S.A. and Gower, S.T., 2002, Lidar remote sensing of above-ground biomass in three biomes. Global Ecology and Biogeography, 11, pp. 393-399.
8. Lefsky, M.A., Harding, D., Cohen, W.B., Parker, G. and Shugart, H.H., 1999, Surface LiDAR remote sensing of basal area and biomass in deciduous forests of eastern Maryland, USA. Remote Sensing of Environment, 67, pp. 83-98.
9. Lefsky, M.A., Keller, M., Pang, Y., de Camargo, P. and Hunter, M.O., 2007, Revised method for forest canopy height estimation from the Geoscience Laser Altimeter System waveforms. Journal of Applied Remote Sensing, 1, pp. 1-18.
10. Næsset, E. and Økland, T., 2002, Estimating tree height and tree crown properties using airborne scanning laser in a boreal nature reserve. Remote Sensing of Environment, 79, pp. 105-115.
11. Nelson, R., Ranson, K.J., Sun, G., Kimes, D.S., Kharuk, V. and Montesano, P., 2009, Estimating Siberian timber volume using MODIS and ICESat/GLAS. Remote Sensing of Environment, 113, pp. 691-701.
12. Ni-Meister, W., Jupp, D.L.B. and Dubayah, R., 2001, Modeling LiDAR waveforms in heterogeneous and discrete canopies. IEEE Transactions on Geoscience & Remote Sensing, 39, pp. 1943-1958.
13. North, P.R.J., Rosette, J.A., Suárez, J. and Los, S.O., A Monte Carlo radiative transfer model of satellite waveform lidar. International Journal of Remote Sensing, accepted.
14. NSIDC, 2006, ICESat Laser Operation Period Attributes. Available online at: urlhttp://nsidc.org/ data/icesat/data.html (accessed June 2006).
15. Prieto-Blanco, A., North, P.R.J., Fox, N. and Barnsley, M.J., 2009, Satellite-driven model ling of Net Primary Productivity (NPP): Theoretical analysis. Remote Sensing of Environment, 113, pp. 137-147.
16. Rosette, J., North, P.and Suárez, J., 2008, Vegetation height estimates for a mixed temperate forest using satellite laser altimetry. International Journal of Remote Sensing, 29, pp. 1475-1493.
17. Schutz, B., Zwally, H., Shuman, C, Hancock, D. and DiMarzio, J., 2005, Overview of the ICESat Mission. Geophysical Research Letters, 32, p. L21S01.
18. Suárez, J.C., Garcia, R., Gardiner, B. and Patenaude, G., 2008, The estimation of wind risk in forest stands using Airborne Laser Scanning (ALS). Journal of Forest Planning, 13, pp. 165-185.
19. Sun, G., Ranson, K.J., Masek, J., Guo, Z., Pang, Y., Fu, A. and Wang, D., 2008, Estimation of tree height and forest biomass from GLAS Data. Journal of Forest Planning, 13, pp. 157-164.
20. Zwally, H., Schutz, B., Abdalati, W., Abshire, J., Bentley, C, Brenner, A., Bufton, J., Dezio, J., Hancock, D., Harding, D., Herring, T., Minster, B., Quinn, K., Palm, S., Spinhirne, J. and Thomas, R., 2002, ICESat's laser measurements of polar ice, atmosphere, ocean and land. Journal of Geodynamics, 34, pp. 405-445.