Li, X., and
Strahler, A.H.,
Geometric-optical modeling of a conifer forest canopy,
GeoRS(23), No. 5, September 1985, pp. 705-720.
BibRef
8509
Li, X., and
Strahler, A.H.,
Geometric-optical bidirectional reflectance
modeling of the discrete crown vegetation canopy: Effect of crown shape
and mutual shadowing,
GeoRS(30), No. 3, March 1992, pp. 276-292.
BibRef
9203
Holopainen, M.,
Wang, G.X.,
The Calibration of Digitized Aerial Photographs for
Forest Stratification,
JRS(19), No. 4, March 10 1998, pp. 677-696.
9803
BibRef
Pekkarinen, A.,
A method for the segmentation of very high spatial resolution images of
forested landscapes,
JRS(23), No. 14, July 2002, pp. 2817-2836.
0208
BibRef
Pekkarinen, A.[Anssi],
Image segment-based spectral features in the estimation of timber
volume,
RSE(82), No. 2-3, October 2002, pp. 349-359.
HTML Version.
0210
BibRef
Varekamp, C.,
Hoekman, D.H.,
High-resolution InSAR image simulation for forest canopies,
GeoRS(40), No. 7, July 2002, pp. 1648-1655.
IEEE Top Reference.
0210
BibRef
Sheng, Y.W.[Yong-Wei],
Gong, P.[Peng],
Biging, G.S.[Gregory S.],
Model-Based Conifer Canopy Surface Reconstruction from Photographic
Imagery: Overcoming the Occlusion, Foreshortening, and Edge Effects,
PhEngRS(69), No. 3, March 2003, pp. 249-258.
The capability of the model-based surface reconstruction approach is
extended from recovering the crown surface of a single tree to
reconstructing the canopy surface of a tree stand, and is further
developed to canopy surface reconstruction for complicated tree
stands.
WWW Version.
0304
BibRef
Sheng, Y.W.[Yong-Wei],
Gong, P.[Peng],
Biging, G.S.[Gregory S.],
True Orthoimage Production for Forested Areas from Large-Scale Aerial
Photographs,
PhEngRS(69), No. 3, March 2003, pp. 259-266.
An effort for removing occlusion and correcting canopy relief
displacement using a canopy surface model (CSM) in true orthoimage
generation for forested areas is described.
WWW Version.
0304
BibRef
Pu, R.[Ruiliang],
Gong, P.[Peng],
Biging, G.S.,
Larrieu, M.R.,
Extraction of red edge optical parameters from Hyperion data for
estimation of forest leaf area index,
GeoRS(41), No. 4, April 2003, pp. 916-921.
IEEE Abstract. IEEE Top Reference.
0307
BibRef
Sugumaran, R.,
Pavuluri, M.K.,
Zerr, D.,
The use of high-resolution imagery for identification of urban climax
forest species using traditional and rule-based classification approach,
GeoRS(41), No. 9, September 2003, pp. 1933-1939.
IEEE Abstract. IEEE Top Reference.
0310
BibRef
Fang, H.L.[Hong-Liang],
Liang, S.L.[Shun-Lin],
Retrieving leaf area index with a neural network method:
simulation and validation,
GeoRS(41), No. 9, September 2003, pp. 2052-2062.
IEEE Abstract. IEEE Top Reference.
0310
BibRef
Vincini, M.,
Frazzi, E.,
Multitemporal evaluation of topographic normalization methods on
Deciduous Forest TM Data,
GeoRS(41), No. 11, November 2003, pp. 2586-2590.
IEEE Abstract. IEEE Top Reference.
0311
BibRef
Franklin, S.E.,
Lavigne, M.B.,
Moskal, L.M.,
Wulder, M.A., and
McCaffrey, T.M.,
Interpretation of partial harvest forest conditions in New
Brunswick using Landsat TM enhanced wetness difference imagery
(EWDI),
Can. J. Remote Sens.(27), 2001, pp. 118-128.
BibRef
0100
Peddle, D.R.,
Franklin, S.E.,
Johnson, R.L.,
Lavigne, M.B.,
Wulder, M.A.,
Structural change detection in a disturbed conifer forest using a
geometric optical reflectance model in multiple-forward mode,
GeoRS(41), No. 1, January 2003, pp. 163-166.
IEEE DOI may work or IEEE-CS DOI may work.
IEEE Top Reference.
0304
BibRef
Nelson, T.[Trisalyn],
Boots, B.[Barry],
Wulder, M.[Mike],
Feick, R.[Rob],
Predicting Forest Age Classes from High Spatial Resolution Remotely
Sensed Imagery Using Voronoi Polygon Aggregation,
GeoInfo(8), No. 2, June 2004, pp. 143-155.
WWW Version.
0403
BibRef
Lipowezky, U.[Uri],
Groves decipherment from space photos using prototype matching,
PRL(25), No. 13, 1 October 2004, pp. 1479-1489.
WWW Version.
0410
BibRef
Santoro, M.,
Askne, J.,
Dammert, P.B.G.,
Tree height influence on ERS interferometric phase in boreal forest,
GeoRS(43), No. 2, February 2005, pp. 207-217.
IEEE Abstract. IEEE Top Reference.
0501
BibRef
Askne, J.,
Santoro, M.,
Multitemporal Repeat Pass SAR Interferometry of Boreal Forests,
GeoRS(43), No. 6, June 2005, pp. 1219-1228.
IEEE Abstract. IEEE Top Reference.
0506
BibRef
Earlier:
Add A3, A4:
Smith, G.,
Fransson, J.E.S.,
GeoRS(41), No. 7, July 2003, pp. 1540-1550.
IEEE Abstract. IEEE Top Reference.
0308
BibRef
Brewer, C.K.[C. Kenneth],
Winne, J.C.[J. Chris],
Redmond, R.L.[Roland L.],
Opitz, D.W.[David W.],
Mangrich, M.V.[Mark V.],
Classifying and Mapping Wildfire Severity: A Comparison of Methods,
PhEngRS(71), No. 11, November 2005, pp. 1311-1320.
WWW Version.
0602A comparison of six remote sensing methods for classifying and mapping
wildfire severity on forests and rangelands: artificial networks,
principal component analysis, and normalized temporal image
differencing.
BibRef
Gislason, P.O.[Pall Oskar],
Benediktsson, J.A.[Jon Atli],
Sveinsson, J.R.[Johannes R.],
Random Forests for land cover classification,
PRL(27), No. 4, March 2006, pp. 294-300.
WWW Version. Random Forests; Classification; Decision trees; Multisource remote sensing data
0604
BibRef
Izzawati,
Wallington, E.D.,
Woodhouse, I.H.,
Forest Height Retrieval From Commercial X-Band SAR Products,
GeoRS(44), No. 4, April 2006, pp. 863-870.
IEEE DOI may work or IEEE-CS DOI may work.
0604
BibRef
Cheng, L.[Li],
Caelli, T.M.,
Sanchez-Azofeifa, A.[Arturo],
Component Optimization for Image Understanding: A Bayesian Approach,
PAMI(28), No. 5, May 2006, pp. 684-693.
IEEE DOI may work or IEEE-CS DOI may work.
0604Integrate segmentation/annotation,
3D sensing (stereo) and 3D fitting within a Bayesian framework.
Apply to forest inventory.
See also Bayesian Stereo Matching.
BibRef
Cheng, L.[Li],
Caelli, T.M.[Terry M.],
Forestry Scene Geometry Estimation Via Statistical Learning,
LCV04(103).
IEEE DOI may work or IEEE-CS DOI may work.
0406
BibRef
Xu, F.,
Jin, Y.Q.,
Multiparameter Inversion of a Layer of Vegetation Canopy Over Rough
Surface From the System Response Function Based on the Mueller Matrix
Solution of Pulse Echoes,
GeoRS(44), No. 7, Part 2, July 2006, pp. 2003-2015.
IEEE DOI may work or IEEE-CS DOI may work.
0606
BibRef
Maselli, F.,
Chiesi, M.,
Evaluation of Statistical Methods to Estimate Forest Volume in a
Mediterranean Region,
GeoRS(44), No. 8, August 2006, pp. 2239-2250.
IEEE DOI may work or IEEE-CS DOI may work.
0608
BibRef
Lucas, R.M.,
Lee, A.C.,
Williams, M.L.,
Enhanced Simulation of Radar Backscatter From Forests Using LiDAR and
Optical Data,
GeoRS(44), No. 10, October 2006, pp. 2736-2754.
IEEE DOI may work or IEEE-CS DOI may work.
0609
BibRef
Trias-Sanz, R.[Roger],
Texture Orientation and Period Estimator for Discriminating Between
Forests, Orchards, Vineyards, and Tilled Fields,
GeoRS(44), No. 10, October 2006, pp. 2755-2760.
IEEE DOI may work or IEEE-CS DOI may work.
0609
BibRef
Trias-Sanz, R.[Roger],
Boldo, D.[Didier],
A High-Reliability, High-Resolution Method for Land Cover
Classification Into Forest and Non-forest,
SCIA05(831-840).
WWW Version.
0506
BibRef
Hollaus, M.,
Wagner, W.,
Eberhöfer, C.,
Karel, W.,
Accuracy of large-scale canopy heights derived from LiDAR data under
operational constraints in a complex alpine environment,
PandRS(60), No. 5, August 2006, pp. 323-338.
WWW Version.
0610Alpine forest; LiDAR; Canopy height; DTM; Forest inventory
BibRef
Simard, M.,
Saatchi, S.S.,
de Grandi, G.,
The Use of Decision Tree and Multiscale Texture for Classification of
JERS-1 SAR Data over Tropical Forest,
GeoRS(38), No. 5, September 2000, pp. 2310-2321.
IEEE Top Reference.
0010
BibRef
Saatchi, S.,
Halligan, K.,
Despain, D.G.,
Crabtree, R.L.,
Estimation of Forest Fuel Load From Radar Remote Sensing,
GeoRS(45), No. 6, June 2007, pp. 1726-1740.
IEEE DOI may work or IEEE-CS DOI may work.
0706
BibRef
Simard, M.[Marc],
Zhang, K.Q.[Ke-Qi],
Rivera-Monroy, V.H.[Victor H.],
Ross, M.S.[Michael S.],
Ruiz, P.L.[Pablo L.],
Castañeda-Moya, E.[Edward],
Twilley, R.R.[Robert R.],
Rodriguez, E.[Ernesto],
Mapping Height and Biomass of Mangrove Forests in the Everglades
National Park with SRTM Elevation Data,
PhEngRS(72), No. 3, March 2006, pp. 299-312.
WWW Version.
0610Production of a landscape scale map of mean tree height using SRTM data,
and deriving height and biomass relationships based on field data.
BibRef
Chubey, M.S.[Michael S.],
Franklin, S.E.[Steven E.],
Wulder, M.A.[Michael A.],
Object-based Analysis of Ikonos-2 Imagery for Extraction of Forest
Inventory Parameters,
PhEngRS(72), No. 4, April 2006, pp. 383-394.
WWW Version.
0610A new approach for extracting forest inventory parameters from high spatial
resolution satellite imagery based on analysis of image objects.
BibRef
Musy, R.[Rebecca],
Wynne, R.[Randolph],
Blinn, C.[Christine],
Scrivani, J.[John],
McRoberts, R.[Ronald],
Automated Forest Area Estimation Using Iterative Guided Spectral Class
Rejection,
PhEngRS(72), No. 8, August 2006, pp. 949-960.
WWW Version.
0610USDA Forest Service Inventory and Analysis (FIA) forest area estimates
were successfully derived from Landsat EMT+ images classified using an
automated hybrid classifier.
BibRef
Sun, C.M.[Chang-Ming],
Jones, R.[Ronald],
Talbot, H.[Hugues],
Wu, X.L.[Xiao-Liang],
Cheong, K.[Kevin],
Beare, R.[Richard],
Buckley, M.[Michael],
Berman, M.[Mark],
Measuring the distance of vegetation from powerlines using stereo
vision,
PandRS(60), No. 4, June 2006, pp. 269-283.
WWW Version.
PDF Version.
0610Stereo matching; powerline inspection; power pole segmentation;
vegetation clearance; 3D vegetation surface
BibRef
Vaiphasa, C.[Chaichoke],
Skidmore, A.K.[Andrew K.],
de Boer, W.F.[Willem F.],
A post-classifier for mangrove mapping using ecological data,
PandRS(61), No. 1, October 2006, pp. 1-10.
WWW Version.
0610expert system; multispectral; remote sensing; vegetation
BibRef
Henning, J.G.[Jason G.],
Radtke, P.J.[Philip J.],
Ground-based Laser Imaging for Assessing Three Dimensional Forest
Canopy Structure,
PhEngRS(72), No. 12, December 2006, pp. 1349-1358.
WWW Version.
0704Spatial distributions of plant area, leaf area, tree positions, canopy height,
and terrain elevation were generated for a deciduous forest in an exploratory
application of high-resolution ground-based laser imaging.
BibRef
Henning, J.G.[Jason G.],
Radtke, P.J.[Philip J.],
Multiview range-image registration for forested scenes using
explicitly-matched tie points estimated from natural surfaces,
PandRS(63), No. 1, January 2008, pp. 68-83.
WWW Version.
0711Alignment; Terrestrial laser scanning; Canopy structure; Point cloud;
Ground-based lidar; Stem map; Stem profile; Digital terrain model
BibRef
Chasmer, L.[Laura],
Hopkinson, C.[Chris],
Smith, B.[Brent],
Treitz, P.[Paul],
Examining the Influence of Changing Laser Pulse Repetition Frequencies
on Conifer Forest Canopy Returns,
PhEngRS(72), No. 12, December 2006, pp. 1359-1368.
WWW Version.
0704The characteristics associated with differing laser pulse emission frequencies
are found to vary the penetration of pulses within conifer forest canopies.
BibRef
Hinsley, S.A.[Shelley A.],
Hill, R.A.[Ross A.],
Bellamy, P.E.,
Balzter, H.[Heiko],
The Application of Lidar in Woodland Bird Ecology:
Climate, Canopy Structure, and Habitat Quality,
PhEngRS(72), No. 12, December 2006, pp. 1399-1406.
WWW Version.
0704Measuring woodland vegetation structure and the relationship of climate
in determining habitat quality for breeding birds.
BibRef
Rowland, C.S.[Clare S.],
Balzter, H.[Heiko],
Data Fusion for Reconstruction of a DTM, Under a Woodland Canopy, From
Airborne L-band InSAR,
GeoRS(45), No. 5, May 2007, pp. 1154-1163.
IEEE DOI may work or IEEE-CS DOI may work.
0704
BibRef
Norjamäki, I.,
Tokola, T.,
Comparison of Atmospheric Correction Methods in Mapping Timber Volume
with Multitemporal Landsat Images in Kainuu, Finland,
PhEngRS(73), No. 2, February 2007, pp. 155-164.
WWW Version.
0704The estimation of forest characteristics from an atmospherically corrected
Landsat EMT+ mosaic.
BibRef
Evans, J.S.[Jeffrey S.],
Hudak, A.T.[Andrew T.],
A Multiscale Curvature Algorithm for Classifying Discrete Return LiDAR
in Forested Environments,
GeoRS(45), No. 4, April 2007, pp. 1029-1038.
IEEE DOI may work or IEEE-CS DOI may work.
0704
BibRef
Verhoef, W.,
Jia, L.,
Xiao, Q.,
Su, Z.,
Unified Optical-Thermal Four-Stream Radiative Transfer Theory for
Homogeneous Vegetation Canopies,
GeoRS(45), No. 6, June 2007, pp. 1808-1822.
IEEE DOI may work or IEEE-CS DOI may work.
0706
BibRef
Wang, Z.,
Boesch, R.,
Color- and Texture-Based Image Segmentation for Improved Forest
Delineation,
GeoRS(45), No. 10, October 2007, pp. 3055-3062.
IEEE DOI may work or IEEE-CS DOI may work.
0711
BibRef
Solberg, S.,
Naesset, E.,
Mapping Defoliation with Lidar,
Laser07(379).
PDF Version.
0709
BibRef
Tottrup, C.[Christian],
Forest and Land Cover Mapping in a Tropical Highland Region,
PhEngRS(73), No. 9, September 2007, pp. 1057-1066.
WWW Version.
0709Tropical forest and land-cover classes within a topographically complex
area are mapped from a terrain corrected SPOT HRVIR image and using
linear mixture modeling in combination with a decision tree classifier.
BibRef
Plourde, L.C.[Lucie C.],
Ollinger, S.V.[Scott V.],
Smith, M.L.[Marie-Louise],
Martin, M.E.[Mary E.],
Estimating Species Abundance in a Northern Temperate Forest Using
Spectral Mixture Analysis,
PhEngRS(73), No. 7, July 2007, pp. 829-840.
WWW Version.
0709Spectral mixture analysis is used to classify sugar maple and
American beech abundance in a heterogeneous forest in the northeastern U.S.
BibRef
Potere, D.[David],
Woodcock, C.[Curtis],
Schneider, A.[Annemarie],
Ozdogan, M.[Mutlu],
Baccini, A.[Alessandro],
Patterns in Forest Clearing Along the Appalachian Trail Corridor,
PhEngRS(73), No. 7, July 2007, pp. 783-792.
WWW Version.
0709The GeoCover Landsat dataset was used to estimate that 75,000 hectares
of forest were cleared on a corridor 3,500 km long.
BibRef
Nelson, M.[Mark],
Moisen, G.[Gretchen],
Finco, M.[Mark],
Brewer, K.[Ken],
Forest Inventory and Analysis in the United States: Remote Sensing and
Geospatial Activities (Adobe PDF 202Kb),
PhEngRS(73), No. 7, July 2007, pp. 729-735.
WWW Version.
0709
BibRef
Walker, J.S.[Jason S.],
Briggs, J.M.[John M.],
An Object-oriented Approach to Urban Forest Mapping in Phoenix,
PhEngRS(73), No. 5, May 2007, pp. 577-584.
WWW Version.
0709A object-oriented approach technique for regular monitoring
of structural vegetation detection using high-resolution, color imagery.
BibRef
Garestier, F.,
Dubois-Fernandez, P.C.,
Papathanassiou, K.P.,
Pine Forest Height Inversion Using Single-Pass X-Band PolInSAR Data,
GeoRS(46), No. 1, January 2008, pp. 59-68.
IEEE DOI may work or IEEE-CS DOI may work.
0712
BibRef
Mallinis, G.[Georgios],
Koutsias, N.[Nikos],
Tsakiri-Strati, M.[Maria],
Karteris, M.[Michael],
Object-based classification using Quickbird imagery for delineating
forest vegetation polygons in a Mediterranean test site,
PandRS(63), No. 2, March 2008, pp. 237-250.
WWW Version.
0803Forest classification; Texture; Quickbird; Object-based; Multi-scale
BibRef
Dalponte, M.,
Bruzzone, L.[Lorenzo],
Gianelle, D.,
Fusion of Hyperspectral and LIDAR Remote Sensing Data for
Classification of Complex Forest Areas,
GeoRS(46), No. 5, May 2008, pp. 1416-1427.
IEEE DOI may work or IEEE-CS DOI may work.
0804
BibRef
van Aardt, J.A.N.[Jan A.N.],
Wynne, R.H.[Randolph H.],
Scrivani, J.A.[John A.],
Lidar-based Mapping of Forest Volume and Biomass by Taxonomic Group
Using Structurally Homogenous Segments,
PhEngRS(74), No. 8, August 2008, pp. 1033-1044.
WWW Version.
0804An evaluation of an object-oriented approach to deciduous and
coniferous forest classification, as well as volume and biomass
estimation, using small-footprint lidar height and intensity
distributions, and highlights of the potential of perobject lidar data
analysis for stand-level forest inventories.
BibRef
Henry, M.C.[Mary C.],
Comparison of Single- and Multi-date Landsat Data for Mapping Wildfire
Scars in Ocala National Forest, Florida,
PhEngRS(74), No. 7, July 2008, pp. 881-892.
WWW Version.
0804Datasets classified using a traditional maximum likelihood
classification method and a non-parametric classification and
regression tree technique.
BibRef
Haapanen, R.[Reija],
Tuominen, S.[Sakari],
Data Combination and Feature Selection for Multisource Forest Inventory,
PhEngRS(74), No. 7, July 2008, pp. 869-880.
WWW Version.
0804Feature selection and weighting among satellite image features and
aerial photograph spectral and textural features were used to boost
the accuracy when estimating forest variables.
BibRef
Tang, F.F.,
Liu, J.N.,
Zhang, X.H.,
Ruan, Z.M.,
Derivation of Digital Terrain Model in Forested Area with Airborne
LIDAR Data,
ISPRS08(B3b: 343 ff).
PDF Version.
0807
BibRef
Lo, C.Y.,
Chen, L.C.,
Canopy Extraction Using Airborne Laser Scanning Data in Forestry Areas,
ISPRS08(B3b: 367 ff).
PDF Version.
0807
BibRef
Pál, I.[István],
Measurements of Forest Inventory Parameters on Terrestrial Laser
Scanning Data Using Digital Geometry and Topology,
ISPRS08(B3b: 373 ff).
PDF Version.
0807
BibRef
Bao, Y.F.[Yun-Fei],
Li, G.P.[Guo-Ping],
Cao, C.X.[Chun-Xiang],
Li, X.W.[Xiao-Wen],
Zhang, H.[Hao],
He, Q.S.[Qi-Sheng],
Bai, L.Y.[Lin-Yan],
Chang, C.Y.[Chao-Yi],
Classification of LIDAR Point Cloud and Generation of DTM from LIDAR
Height and Intensity Data In Forested Area,
ISPRS08(B3b: 313 ff).
PDF Version.
0807
BibRef
Hancock, S.[Steven],
Disney, M.[Mathias],
Lewis, P.[Philip],
Muller, J.P.[Jan-Peter],
Exploring the Measurement Of Forests With Full Waveform LIDAR through
Monte-Carlo Ray Tracing,
ISPRS08(B1: 235 ff).
PDF Version.
0807
BibRef
Zhang, Q.,
Mercer, J.B.,
Cloude, S.R.,
Forest Height Estimation from INDREX-II L-Band Polarimetric InSAR Data,
ISPRS08(B1: 343 ff).
PDF Version.
0807
BibRef
Dong, L.X.[Li-Xin],
Wu, B.F.[Bing-Fang],
A Comparison of Estimating Forest Canopy Height Integrating
Multi-sensor data Synergy: A Case Study in Mountain Area of Three
Gorges,
ISPRS08(B1: 379 ff).
PDF Version.
0807
BibRef
Lalonde, J.,
Vandapel, N., and
Hebert, M.,
Automatic Three-Dimensional Point Cloud Processing for Forest Inventory,
CMU-RI-TR-06-21, July, 2006.
WWW Version.
BibRef
0607
Gross, H.,
Jutzi, B.,
Thoennessen, U.,
Segmentation of Tree Regions Using Data of a Full-Waveform Laser,
PIA07(57).
PDF Version.
0711
BibRef
Straatsma, M.,
Middelkoop, H.,
Extracting Structural Characteristics of Dormant Herbaceous Floodplain
Vegetation from Airborne Laser Scanner Data,
Laser07(395).
PDF Version.
0709
BibRef
Mehtätalo, L.,
Maltamo, M.,
Packalen, P.,
Recovering Plot-Specific Diameter Distribution and Height-Diameter
Curve Using ALS Based Stand Characteristics,
Laser07(288).
PDF Version.
0709
BibRef
Hill, R.A.,
Going Undercover: Mapping Woodland Understorey from Leaf-On and
Leaf-Off Lidar Data,
Laser07(184).
PDF Version.
0709
BibRef
Hopkinson, C.,
Chasmer, L.,
Modelling Canopy Gap Fraction from Lidar Intensity,
Laser07(190).
PDF Version.
0709
BibRef
Chasmer, L.,
Barr, A.,
Black, A.,
Hopkinson, C.,
Kljun, N.,
McCaughey, J.H.,
Treitz, P.,
Using Airborne Lidar for the Assessment of Canopy Structure Influences
on CO2 Fluxes,
Laser07(96).
PDF Version.
0709
BibRef
Maltamo, M.,
Packalén, P.,
Peuhkurinen, J.,
Suvanto, A.,
Pesonen, A.,
Hyyppä, J.,
Experiences and Possibilities of ALS Based Forest Inventory in Finland,
Laser07(270).
PDF Version.
0709
BibRef
Stephens, P.R.,
Watt, P.J.,
Loubser, D.,
Haywood, A.,
Kimberley, M.O.,
Estimation of Carbon Stocks in New Zealand Planted Forests Using
Airborne Scanning Lidar,
Laser07(389).
PDF Version.
0709
BibRef
Kukko, A.,
Hyyppä, J.,
Laser Scanner Simulator for System Analysis and Algorithm Development:
a Case with Forest Measurements,
Laser07(234).
PDF Version.
0709
BibRef
Kobler, A.,
Ogrinc, P.,
REIN Algorithm and the Influence of Point Cloud Density on nDSM and DTM
Precision in a Submediterranean Forest,
Laser07(216).
PDF Version.
0709
BibRef
Goodwin, N.R.,
Coops, N.C.,
Bater, C.,
Gergel, S.E.,
Assessment of Sub-Canopy Structure in a Complex Coniferous Forest,
Laser07(169).
PDF Version.
0709
BibRef
Gobakken, T.,
Naesset, E.,
Assessing Effects of Laser Point Density on Biophysical Stand
Properties Derived from Airborne Laser Scanner Data in Mature Forest,
Laser07(150).
PDF Version.
0709
BibRef
Ginzler, C.,
Boehl, J.,
Boesch, R.,
Waser, L.T.,
Accuracy of Forest Parameters Derived from Medium Footprint Lidar under
Operational Constraints,
Laser07(144).
PDF Version.
0709
BibRef
Fleck, S.,
Obertreiber, N.,
Schmidt, I.,
Brauns, M.,
Jungkunst, H.,
Leuschner, C.,
Terrestrial Lidar Measurents for Analysing Canopy Structure in an
Old-Growth Forest,
Laser07(125).
PDF Version.
0709
BibRef
Gatziolis, D.,
Lidar-Derived Site Index in the U.S. Pacific Northwest:
Challenges and Opportunities,
Laser07(136).
PDF Version.
0709
BibRef
Ene, L.,
Naesset, E.,
Gobakken, T.,
Simulating Sampling Efficiency in Airborne Laser Scanning Based Forest
Inventory,
Laser07(114).
PDF Version.
0709
BibRef
Goepfert, J.,
Soerge, U.,
Estimation of the Lidar Height Offset in Coastal Vegetated Areas,
Laser07(156).
PDF Version.
0709
BibRef
Boyd, D.S.,
Hill, R.A.,
Validation of Airborne Lidar Intensity Values from a Forested Landscape
Using HYMAP data: Preliminary Analyses,
Laser07(71).
PDF Version.
0709
BibRef
Breidenbach, J.,
McGaughey, R.,
Andersen, H.E.,
Kändler, G.,
Reutebuch, S.,
A Mixed Effects Model to Estimate Stand Volume by Means of Small
Footprint Airborne Lidar Data for an American and German Study Site,
Laser07(77).
PDF Version.
0709
BibRef
Bollandsås, O.M.,
Hanssen, K.H.,
Marthiniussen, S.,
Naesset, E.,
Using Airborne Small-Footprint Laser Scanner to Assess the Quantity of
Seedlings in an Uneven-Aged Spruce Forest,
Laser07(62).
PDF Version.
0709
BibRef
Andersen, H.E.,
Breidenbach, J.,
Statistical Properties of Mean Stand Biomass Estimators in a
Lidar-Based Double Sampling Forest Survey Design,
Laser07(8).
PDF Version.
0709
BibRef
Kwak, D.A.,
Lee, W.K.,
Cho, H.K.,
Estimation of LAI Using LiDAR Remote Sensing in Forest,
Laser07(248).
PDF Version.
0709
BibRef
Wezyk, P.,
Koziol, K.,
Glista, M.,
Pierzchalski, M.,
Terrestrial Laser Scanning Versus Traditional Forest Inventory First
Results from the Polish Forests,
Laser07(424).
PDF Version.
0709
BibRef
Zhao, K.,
Popescu, S.,
Hierarchical Watershed Segmentation of Canopy Height Model for
Multi-Scale Forest Inventory,
Laser07(436).
PDF Version.
0709
BibRef
Morsdorf, F.,
Koetz, B.,
Meier, E.,
Itten, K.I.,
Allgöwer, B.,
The potential of discrete return, small footprint airborne laser
scanning data for vegetation density estimation,
Laser05(xx-yy).
PDF Version.
0509
BibRef
Arefi, H.,
Hahn, M.,
A morphological reconstruction algorithm for separating off-terrain
points from terrain points in laser scanning data,
Laser05(xx-yy).
PDF Version.
0509
BibRef
Yu, X.,
Hyyppä, H.,
Kaartinen, H.,
Hyyppä, J.,
Ahokas, E.,
Kaasalainen, S.,
Applicability of first pulse derived digital terrain models for boreal
forest zone,
Laser05(xx-yy).
PDF Version.
0509
BibRef
Zhang, L.M.[La-Mei],
Zou, B.[Bin],
Zhang, J.P.[Jun-Ping],
Zhang, Y.[Ye],
Inversion of Forest Parameters Based on Genetic Algorithm using L-Band
Polinsar Data,
ICIP06(2325-2328).
0610
IEEE DOI may work or IEEE-CS DOI may work.
BibRef
Bienert, A.,
Scheller, S.,
Keane, E.,
Mullooly, G.,
Mohan, F.,
Application of terrestrial laserscanners for the determination of
forest inventory parameters,
IEVM06(xx-yy).
PDF Version.
0609
BibRef
Vicens, R.,
Faber, C.,
Object-based image analysis for meso-scale approach: The experience of
landcover mapping of the Brazilian Coastal Rainforest Biome,
OBIA06(xx-yy).
PDF Version.
0607
BibRef
Langar, F.,
Ivits-Wasser, E.,
Koch, B.,
Detection of FFH areas in forests with the assistance of remote sensing
and GIS in Thuringia,
OBIA06(xx-yy).
PDF Version.
0607
BibRef
Maier, B.,
Tiede, D.,
Dorren, L.,
Assessing mountain forest structure using airborne laser scanning and
landscape metrics,
OBIA06(xx-yy).
PDF Version.
0607
BibRef
van Coille, F.M.B.,
Verbeke, L.P.C.,
de Wulf, R.R.,
Semi-automated forest stand delineation using wavelet-based
segmentation of very high resolution optical imagery in Flanders,
Belgium,
OBIA06(xx-yy).
PDF Version.
0607
BibRef
Hajek, F.,
Object analysis of Ikonos XS and pan-sharpened imagery in comparison
for purpose of tree species estimation,
OBIA06(xx-yy).
PDF Version.
0607
BibRef
Förster, M.,
Kleinschmit, B.,
Integration of ancillary information into object-based Classification
for Detection of Forest Structures and habitats,
OBIA06(xx-yy).
PDF Version.
0607
BibRef
Hese, S.,
Schmullius, C.,
Object context information for advanced forest change classification
strategies,
OBIA06(xx-yy).
PDF Version.
0607
BibRef
Kim, M.,
Madden, M.,
Determination of optimal scale parameters for alliance-level forest
classification of multispectral Ikonos images,
OBIA06(xx-yy).
PDF Version.
0607
BibRef
Mallinis, G.,
Karamanolis, D.,
Karteris, M.,
Gitas, I.,
An object oriented approach for the discrimination of forest areas
under the criteria of forest legislation in Greece using very high
resolution data,
OBIA06(xx-yy).
PDF Version.
0607
BibRef
Desclee, B.,
de Wasseige, C.,
Bogaert, P.,
Defourny, P.,
Tropical forest monitoring by object-based change detection: Towards an
automated method in an operational perspective,
OBIA06(xx-yy).
PDF Version.
0607
BibRef
Corona, P.,
Chirici, G.,
Lamonaca, A.,
Bertini., R.,
Segmentation based analysis of high resolution remotely sensed data for
forest diversity characterization,
OBIA06(xx-yy).
PDF Version.
0607
BibRef
Schultz, E.B.,
Matney, T.G.,
Evans, D.L.,
Fujisaki, I.,
A Landsat stand basal area classification suitable for automating
stratification of forest into statistically efficient strata,
OBIA06(xx-yy).
PDF Version.
0607
BibRef
Thiel, C.,
Weise, C.,
Riedel, T.,
Schmullius, C.,
Object based classification of L-Band SAR data for the delineation of
forest cover maps and the devection of deforestation,
OBIA06(xx-yy).
PDF Version.
0607
BibRef
Verbeke, L.P.C.,
van Coillie, F.M.B.,
de Wulf, R.R.,
Object based forest stand density estimation from very high resolution
optical imagery using wavelet based texture measures,
OBIA06(xx-yy).
PDF Version.
0607
BibRef
Tiede, D.,
Lang, S.,
Hoffmann, C.,
Supervised and forest type-specific multi-scale segmentation for a
one-level-representation of single trees,
OBIA06(xx-yy).
PDF Version.
0607
BibRef
Levner, I.[Ilya],
Bulitko, V.[Vadim],
Comparison of Machine Learned Image Interpretation Systems in the
Domain of Forestry,
WACV05(I: 421-426).
WWW Version.
0502
BibRef
Reulke, R.[Ralf],
Haala, N.[Norbert],
Tree Species Recognition with Fuzzy Texture Parameters,
IWCIA04(607-620).
WWW Version.
0505
BibRef
Schardt, M.[Mathias],
Ziegler, M.[Michaela],
Wimmer, A.[Andreas],
Wack, R.[Roland],
Hyyppä, J.[Juha],
Assessment of Forest Parameters by Means of Laser Scanning,
PCV02(A: 302).
0305
BibRef
Andersen, H.E.[Hans-Erik],
Reutebuch, S.E.[Stephen E.],
Schreuder, G.F.[Gerard F.],
Bayesian Object Recognition for the Analysis of Complex Forest Scenes
in Airborne Laser Scanner Data,
PCV02(A: 35).
0305
BibRef
Chen, J.,
Simonett, D.S.,
Sun, G.Q.[Guo-Qing],
Computer-aided interpretation of forest radar images,
ICPR88(II: 1245-1249).
IEEE DOI may work or IEEE-CS DOI may work.
8811
BibRef
Chapter on Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR continues in
SRI General Cartography Systems .