PE&RS August 2018 Full - page 503

Holmgren, J., and Ö Persson, 2004. Identifying species of individual
trees using airborne laser scanner,
Remote Sensing of
Environment
, 90:415–423.
Hughes, G.P.,1968. On the mean accuracy of statistical pattern
recognizers,
IEEE Transactions on Information Theory
, 14:55–63.
Jones, T.G., N.C. Coops, and T. Sharma, 2010. Assessing the utility of
airborne hyperspectral and LiDAR data for species distribution
mapping in the coastal Pacific Northwest, Canada,
Remote
Sensing of Environment,
114:2841–2852.
Kim, S., T. Hinckley, and D. Briggs, 2011. Classifying individual
tree genera using stepwise cluster analysis based on height
and intensity metrics derived from airborne laser scanner data,
Remote Sensing of Environment
, 115, 3329–3342.
Korpela, I., H.O.
òrka, M. Maltamo, T. Tokola, T., and J. Hyyppand
J.
§, 2010. Tree species classification using airborne LiDAR‚
Äìeffects of stand and tree parameters, downsizing of training
set, intensity normalization, and sensor type,
Silva Fennica
,
44:319–339.
Kovacs, K.F., R.G. Haight,D.G. McCullough, R.J. Mercader, N.W.
Siegert, and A.M. Liebhold, 2010. Cost of potential emerald
ash borer damage in US communities, 2009–2019,
Ecological
Economics, 69
:569–578.
Kulikova, M.S., M. Mani, A. Srivastava, X. Descombes, and J. Zerubia,
2007. Tree species classification using radiometry, texture and
shape based features,
IEEE Signal Processing Conference, 2007
:
1595-1599).
Li, J., B. Hu, and T.L. Noland, 2013. Classification of tree species
based on structural features derived from high density LiDAR
data,
Agricultural and Forest Meteorology
:
171
: 104–114.
Lin, C., N.C. Coops, T. Hermosilla, J. Innes, J.S. Dai, and G.H.
She, 2014. Using small-footprint discrete and full-waveform
airborne LiDAR metrics to estimate total biomass and biomass
components in subtropical forests,
Remote Sensing
, 6:7110–7135.
Liu, H., and P. Dong, 2014. A new method for generating canopy
height models from discrete-return LiDAR point clouds,
Remote
Sensing Letters
, 5:575–582
Liu, H., and C. Wu, 2016. Tree crown width estimation using discrete
airborne LIDAR data,
Canadian Journal of Remote Sensing
.
Liu, L., Y. Pang, W. Fan, Z. Li, and M. Li, 2011. Fusion of airborne
hyperspectral and LiDAR
data for tree species classification in the temperate forest of
northeast China,
IEEE, 2011 19
th
International Conference on
Geoinformatics
. pp. 1-5.
Lu, Z., J. Im, J., Rhee, J., and M. Hodgson.2014. Building type
classification using spatial and landscape attributes derived
from LiDAR remote sensing data,
Landscape & Urban Planning
,
130:134–148.
MacFarlane, D.W., and S.P. Meyer, 2005. Characteristics and
distribution of potential ash tree hosts for emerald ash borer,
Forest Ecology and Management
, 213:15–24.
Mathur, A., L.M. Bruce, D. Johnson, and W. Robles, 2006. Automated
stepwise selection of hyperspectral hypertemporal features for
target detection,
IEEE International Conference on Geoscience
and Remote Sensing Symposium
,pp. 533–536).
Ørka, H.O., E. Næsset, and O.M. Bollandsås, 2009. Classifying
species of individual trees by intensity and structure features
derived from airborne laser scanner data,
Remote Sensing of
Environment
, 113:1163–1174.
Osada, R., T. Funkhouser, B. Chazelle, and D. Dobkin, 2002. Shape
distributions,
ACM Transactions on Graphics (TOG)
, 21:807–832.
Petropoulos, G.P., K. Arvanitis, and N. Sigrimis, 2012. Hyperion
hyperspectral imagery analysis combined with machine learning
classifiers for land use/cover mapping,
Expert Systems with
Applications
, 39:3800–3809.
Poland, T.M., and D.G. McCullough, 2006. Emerald ash borer:
Invasion of the urban forest and the threat to North America’s
ash resource,
Journal of Forestry
, 104:118–124.
Pontius, J., M. Martin, L. Plourde, L., and R. Hallett, 2008. Ash
decline assessment in emerald ash borer-infested regions: A
test of tree-level, hyperspectral technologies,
Remote Sensing of
Environment
, 112:2665–2676.
Popescu, S.C., 2007. Estimating biomass of individual pine trees
using airborne lidar,
Biomass and Bioenergy
, 31:646–655.
Popescu, S.C., and R.H. Wynne, 2004. Seeing the trees in the
forest: Using Lidar and multispectral data fusion with local
filtering and variable window size for estimating tree height,
Photogrammetric Engineering & Remote Sensing
, 70:589–604.
Popescu, S.C., R.H. Wynne, and R.F. Nelson, 2003. Measuring
individual tree crown diameter with lidar and assessing its
influence on estimating forest volume and biomass,
Canadian
Journal of Remote Sensing
, 29: 564–577.
Pugh, S.A., A.M. Liebhold, and R.S. Morin, 2011. Changes in ash
tree demography associated with emerald ash borer invasion,
indicated by regional forest inventory data from the Great Lakes
States,
Canadian Journal of Forest Research
, 41:2165–2175.
Reitberger, J., P. Krzystek, and U. Stilla, 2006. Analysis of full
waveform lidar data for tree species classification,
International
Archives of Photogrammetry, Remote Sensing and Spatial
Information Sciences
, 36:228–233.
Sivyer, D., 2010. Mapping the future for EAB readiness and response
planning in Milwaukee,
Forestry Source
, 15.
St-Onge, B., J. Jumelet, M. Cobello, and C. Véga, 2004.
Measuring individual tree height using a combination of
stereophotogrammetry and lidar,
Canadian Journal of Forest
Research
, 34:2122–2130.
Sterck, F.J., F. Bongers, and D.M. Newbery, 2001. Tree architecture
in a Bornean lowland rain forest: Intraspecific and interspecific
patterns,
Tropical Forest Canopies: Ecology and Management
,
Springer, pp. 279–292.
Voss, M., and R. Sugumaran, 2008. Seasonal effect on tree species
classification in an urban environment using hyperspectral data,
LiDAR, and an object-oriented approach,
Sensors,
8:3020–3036.
Wang, Y., and P. Jarvis, 1990. Influence of crown structural properties
on PAR absorption, photosynthesis, and transpiration in Sitka
spruce: Application of a model (MAESTRO),
Tree physiology
,
7:297–316.
Xiao, Q., S. Sustin, and E. McPherson, 2004. Using AVIRIS data and
multiple-masking techniques to map urban forest tree species,
International Journal of Remote Sensing
, 25: 5637–5654.
Yao, W., P. Krzystek, and M. Heurich, 2012. Tree species classification
and estimation of stem volume and DBH based on single tree
extraction by exploiting airborne full-waveform LiDAR data,
Remote Sensing of Environment
, 123:368–380.
Zeide, B., an P. Pfeifer, 1991. A method for estimation of fractal
dimension of tree crowns,
Forest Science
, 37:1253–1265.
Zhang, C., and F. Qiu, 2012. Mapping individual tree species in an
urban forest using airborne lidar data and hyperspectral imagery,
Photogrammetric Engineering & Remote Sensing, 78
:1079–1087.
Zhang, C., Z. Xie, and D. Selch, 2013. Fusing lidar and digital aerial
photography for object-based forest mapping in the Florida
Everglades,
GIScience & Remote Sensing
, 50:562–573.
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
August 2018
503
467...,493,494,495,496,497,498,499,500,501,502 504,505,506,507,508,509,510,511,512,513,...526
Powered by FlippingBook