PE&RS August 2015 - page 635

Khosravipour, A., A.K. Skidmore, M. Isenburg, T. Wang, and Y.A.
Hussin, 2014. Generating pit-free canopy height models from
airborne lidar,
Photogrammetric Engineering & Remote Sensing
,
80(9):863–872. doi:10.14358/PERS.80.9.863
Korhonen, L., I. Korpela, J. Heiskanen, and M. Maltamo, 2011.
Airborne discrete-return LIDAR data in the estimation of
vertical canopy cover, angular canopy closure and leaf area
index,
Remote Sensing of Environment
, 115(4):1065–1080.
doi:10.1016/j.rse.2010.12.011
Korpela, I., A. Hovi, and F. Morsdorf, 2012. Understory trees in
airborne LiDAR data - Selective mapping due to transmission
losses and echo-triggering mechanisms,
Remote Sensing of
Environment
, 119:92–104.
Lefsky, M.A., A.T. Hudak, W.B. Cohen, and S.A. Acker, 2005.
Geographic variability in lidar predictions of forest stand
structure in the Pacific Northwest,
Remote Sensing of
Environment
, 95(4):532–548. doi:10.1016/j.rse.2005.01.010
Lovell, J.L., D.L. Jupp, D.S. Culvenor, and N.C. Coops, 2003. Using
airborne and ground-based ranging lidar to measure canopy
structure in Australian forests,
Canadian Journal of Remote
Sensing
, 29(5):607–622.
Lovell, J.L., D.L. Jupp, G.J. Newnham, N.C. Coops, and D.S.
Culvenor, 2005. Simulation study for finding optimal lidar
acquisition parameters for forest height retrieval,
Forest
Ecology and Management
, 214(1-3):398–412. doi:10.1016/j.
foreco.2004.07.077
Magnusson, M., J.E.S. Fransson, and J. Holmgren, 2007. Effects on
estimation accuracy of forest variables using different pulse
density of laser data,
Forest Science
, 53(6):619–626.
Maltamo, M., K. Eerikäinen, P. Packalén, and J. Hyyppä, 2006. Esti-
mation of stem volume using laser scanning-based canopy height
metrics,
Forestry
, 79(2), 217–229. doi:10.1093/forestry/cpl007
McRoberts, R.E., and E.O. Tomppo, 2007. Remote sensing support
for national forest inventories,
Remote Sensing of Environment
,
110:412–419.
Miles, P.D., 2002. Using biological criteria and indicators to address
forest inventory data at the state level,
Forest Ecology and
Management
, 155:171–185. doi:10.1016/S0378-1127(01)00557-6
Montreal Process Implementation Group for Australia, 2008.
Australia’s State of the Forests Report
, Bureau of Rural Sciences,
Canberra.
Mora, B., M.A. Wulder, G.W. Hobart, J.C. White, C.W. Bater, F.A.
Gougeon, A. Varhola, and N.C. Coops, 2013. Forest inventory
stand height estimates from very high spatial resolution satellite
imagery calibrated with LiDAR-plots,
International Journal of
Remote Sensing
, 34:4406–4424.
Morsdorf, F., O. Frey, E. Meier, K.I. Itten, and B. Allgöwer, 2008.
Assessment of the influence of flying altitude and scan angle
on biophysical vegetation products derived from airborne laser
scanning,
International Journal of Remote Sensing
, 29(5):1387–
1406. doi:10.1080/01431160701736349
Næsset, E., 2009. Effects of different sensors, flying altitudes, and
pulse repetition frequencies on forest canopy metrics and
biophysical stand properties derived from small-footprint
airborne laser data,
Remote Sensing of Environment
, 113(1):148–
159. doi:10.1016/j.rse.2008.09.001
Ni-Meister, W., D.L. Jupp, and R.O. Dubayah, 2001. Modeling lidar
waveforms in heterogeneous and discrete canopies,
IEEE
Transactions on Geoscience and Remote Sensing
, 39(9):1943–
1958.
Quadros, N., R. Frisina, and P. Wilson, 2011. Using airborne survey to
map stream form and riparian vegetation characteristics across
Victoria,
Proceedings of SilviLaser 2011
, 16-19 October, Hobart,
Australia, pp. 1–12.
Reutebuch, S.E., and R.J. McGaughey, 2008. LIDAR: An emerging tool
for multiple resource measurement, planning and monitoring,
Western Forester
, 53:1–5.
Sessa, R., 2009. Assessment of the status of the development of the
standards for the terrestrial essential climate variables: Biomass,
GTO system, Rome, Italy,
Version
, 10:1–18.
Su, J., and E. Bork, 2006. Influence of vegetation, slope, and
lidar sampling angle on DEM accuracy,
Photogrammetric
Engineering & Remote Sensing
, 72(11):1265–1274. doi:10.14358/
PERS.72.11.1265
Takahashi, T., Y. Awaya, and Y. Hirata, 2008. Effects of flight altitude
on lidar-derived tree heights in mountainous forests with poor
laser penetration rates,
The Photogrammetric Journal of Finland
,
21(1):86–96.
Takahashi, T., Y. Awaya, Y. Hirata, N. Furuya, T. Sakai, and A.
Sakai, 2010. Stand volume estimation by combining low laser-
sampling density LiDAR data with QuickBird panchromatic
imagery in closed-canopy Japanese cedar (Cryptomeria
japonica) plantations,
International Journal of Remote Sensing
,
31(5):1281–1301. doi:10.1080/01431160903380623
TERN/AusCover, 2012. AusCover airborne LiDAR surveys, URL:
ftp://
tern-auscover.science.uq.edu.au/field_and_airborne_datasets/
airborne/all_hyperspectral_datasets/lidar/
, made available
by the AusCover facility
(
) of the
Terrestrial Ecosystem Research Network (TERN:
.
org.au
) (last date accessed: 17 June 2015)
Tesfamichael, S., J. van Aardt, and F. Ahmed, 2010. Estimating
plot-level tree height and volume of Eucalyptus grandis
plantations using small-footprint, discrete return lidar
data,
Progress in Physical Geography
, 34(4):515–540.
doi:10.1177/0309133310365596
Thomas, V., P. Treitz, J.H. McCaughey, and I. Morrison, 2006.
Mapping stand-level forest biophysical variables for a mixed
wood boreal forest using lidar: An examination of scanning
density,
Canadian Journal of Forest Research
, 36(1):34–47.
doi:10.1139/x05-230
Tinkham, W.T., H. Huang, A.M.S. Smith, R. Shrestha, M.J. Falkowski,
A.T. Hudak, T.E. Link, N.F. Glenn, and D.G. Marks, 2011. A
comparison of two open source LiDAR surface classification
algorithms,
Remote Sensing
, 3:638–649.
Treitz, P., K. Lim, M. Woods, D. Pitt, D. Nesbitt, and D. Etheridge,
2012. LiDAR sampling density for forest resource inventories in
Ontario, Canada,
Remote Sensing
, 4(12):830–
848. doi:10.3390/rs4040830
Van Leeuwen, M., and M. Nieuwenhuis, 2010. Retrieval of forest
structural parameters using LiDAR remote sensing,
European
Journal of Forest Research
, 129(4):749–770. doi:10.1007/s10342-
010-0381-4
Watt, M.S., T. Adams, S.G. Aracil, H. Marshall, P. Watt, and S.
Gonzalez Aracil, 2013. The influence of LiDAR pulse density
and plot size on the accuracy of New Zealand plantation stand
volume equations,
New Zealand Journal of Forestry Science
,
43(1):15. doi:10.1186/1179-5395-43-15
Wilkes, P., S.D. Jones, L. Suarez, A. Haywood, A. Mellor, W.
Woodgate, M. Soto-Berelov, and A.K. Skidmore, 2014. Estimating
vegetation vertical structural complexity at a regional scale,
Proceedings of ForestSAT
, 04-07 November, Riva del Garda,
Italy.
Wulder, M.A., J.C. White, C.W. Bater, N.C. Coops, C. Hopkinson, and
G. Chen, 2012. Lidar plots - A new large-area data collection
option: Context, concepts, and case study,
Canadian Journal of
Remote Sensing
, 38(05):600–618. doi:10.5589/m12-049
Wulder, M.A., J.C. White, R.F. Nelson, E. Næsset, H.O. Ørka, N.C.
Coops, T. Hilker, C.W. Bater, and T. Gobakken, 2012. Lidar
sampling for large-area forest characterization: A review,
Remote Sensing of Environment
, 121:196–209. doi:10.1016/j.
rse.2012.02.001
Zimble, D.A., D.L. Evans, G.C. Carlson, R.C. Parker, S.C. Grado, and
P.D. Gerard, 2003. Characterizing vertical forest structure using
small-footprint airborne LiDAR,
Remote Sensing of Environment
,
87(2-3):171–182. doi:10.1016/S0034-4257(03)00139-1
(Received 27 January 2015; accepted 20 February 2015; final
version 28 February 2015)
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
August 2015
635
599...,625,626,627,628,629,630,631,632,633,634 636,637,638,639,640,641,642,643,644,645,...682
Powered by FlippingBook