Operational forest structure monitoring using airborne laser scanning;Flugzeuggestütztes Laserscanning für ein operationelles Waldstrukturmonitoring

Photogrammetrie, Fernerkundung, Geoinformation

Volumn 2013, Issue 3, 2013, Pages 173-184

  Leiterer, Reik ^a   Mücke, Werner ^b   Morsdorf, Felix ^a   Hollaus, Markus ^b   Pfeifer, Norbert ^b   Schaepman, Michael E ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Airborne laser scanning; Deadwood; Forest structure; Full waveform; Multi temporal; Understory

Indexed keywords

EID: 84880648092     PISSN: 14328364     EISSN: None     Source Type: Journal    
DOI: 10.1127/1432-8364/2013/0168     Document Type: Article

References (47)

1. Antonarakis, a.s., saatcHi, s.s., cHazdon, r.l. & Moorcroft, p.r., 2011: Using LiDAR and Radar measurements to constrain predictions of forest ecosystem structure and function. -Ecological Applications 21 (4): 1120-1137.
2. De groot, r.s.,Wilson, M.a. & bouMans, r.M.J., 2002: A typology for the classification, description and valuation of ecosystem functions, goods and services. -Ecological Economics 41 (3): 393-408.
3. eugster, W., zeYer, k., zeeMan, M., MicHna, p., zingg, a., bucHMann, n. & eMMenegger, l., 2007: Nitrous oxide net exchange in a beech dominated mixed forest in Switzerland measured with a quantum cascade laser spectrometer. -Biogeosciences Discussion 4 (2): 1167-1200.
4. Evans, J.s. & Hudak, a.t., 2007: A multiscale curvature algorithm for classifying discrete return LiDAR in forested environments. -IEEE Transactions on Geoscience and Remote Sensing 45 (4): 1029-1038.
5. Ferraz, a., bretar, f., JacqueMoud, s., gonçalves, g., pereira, l., toMé, M. & soares, p., 2012: 3-D mapping of a multi-layered Mediterranean forest using ALS data. -Remote Sensing of Environment 121: 210-223.
6. FoodY, g.M., 2010: Assessing the accuracy of land cover change with imperfect ground reference data. -Remote Sensing of Environment 114 (10): 2271-2285.
7. Haara, a. & leskinen, p., 2009: The assessment of the uncertainty of updated stand-level inventory data. -Silva Fennica 43 (1): 87-112.
8. Hall, f.g., bergen, k., blair, J.b., dubaYaH, r., HougHton, r., Hurtt, g., kellndorfer, J., lefskY, M., ranson, J., saatcHi, s., sHugart, H.H. & Wickland, d., 2011: Characterizing 3D vegetation structure from space: Mission requirements. -Remote Sensing of Environment 115 (11): 2753-2775.
9. HardiMan, b.s., boHrer, g., gougH, c.M., vogel, c.s. & curtis, p.s., 2011: The role of canopy structural complexity in wood net primary production of a maturing northern deciduous forest. -Ecology 92 (9): 1818-1827.
10. Heinzel, J. & kocH, b., 2011: Exploring full-waveform LiDAR parameters for tree species classification. -International Journal of Applied Earth Observation and Geoinformation 13 (1): 152-160.
11. Hilker, t., van leeuWen, M., coops, n.c.,Wulder, M.a., neWnHaM, g.J., Jupp, d.l.b. & culvenor, d.s., 2010: Comparing canopy metrics derived from terrestrial and airborne laser scanning in a douglas-fir dominated forest stand. -Trees -Structure and Function 24 (5): 819-832.
12. Jones, t.g., coops, n.c. & sHarMa, t., 2012: Assessing the utility of LiDAR to differentiate among vegetation structural classes. -Remote Sensing Letters 3 (3): 231-238.
13. kaartinen, H., HYYppä, J., Yu, X., vastaranta, M., HYYppä, H., kukko, a., Holopainen, M., Heipke, c., HirscHMugl, M., Morsdorf, f., næsset, e., pitkänen, J., popescu, s., solberg, s., Wolf, b.M. & Wu, J.c., 2012: An international comparison of individual tree detection and extraction using airborne laser scanning. -Remote Sensing 4 (4): 950-974.
14. KaYes, l.J. & tinker, d.b., 2012: Forest structure and regeneration following a mountain pine beetle epidemic in southeastern Wyoming. -Forest Ecology and Management 263: 57-66.
15. kiM, s., McgaugHeY, r.J., andersen, H.e. & scHreuder, g., 2009: Tree species differentiation using intensity data derived from leaf-on and leaf-off airborne laser scanner data. -Remote Sensing of Environment 113 (8): 1575-1586.
16. korpela, i., Ørka, H.o., MaltaMo, M., tokola, t. & HYYppä, J., 2010: Tree species classification using airborne LiDAR -effects of stand and tree parameters, downsizing of training set, intensity normalization, and sensor type. -Silva Fennica 44 (2): 319-339.
17. LeeuWen, M. & nieuWenHuis, M., 2010: Retrieval of forest structural parameters using LiDAR remote sensing. -European Journal of Forest Research 129 (4): 749-770.
18. Leiterer, r., Morsdorf, f., scHaepMan, M.e., Mücke, W., Hollaus, M. & pfeifer, n., 2012: Robust characterization of forest canopy structure types using full-waveform airborne laser scanning. -Conference Proceedings SilviLaser, Vancouver, Canada.
19. Lindberg, e. & Hollaus, M., 2012: Comparison of methods for estimation of stem volume, stem number and basal area from airborne laser scan-ning data in a hemi-boreal forest. -Remote Sensing 4 (4): 1004-1023.
20. Lindberg, E., Olofsson, K., Holmgren, J. & Olsson, H., 2012: Estimation of 3D vegetation structure from waveform and discrete return airborne laser scanning data. -Remote Sensing of Environment 118 (4): 151-161.
21. LindenMaYer, d.b., franklin, J.f. & fiscHer, J., 2006: General management principles and a checklist of strategies to guide forest biodiversity conservation. -Biological Conservation 131 (3): 433-445.
22. Liu, c., frazier, p. & kuMar, l., 2007: Comparative assessment of the measures of thematic classification accuracy. -Remote Sensing of Environment 107: 606-616.
23. Mallet, c. & bretar, f., 2009: Full-waveform topographic LiDAR: State-of-The-art. -ISPRS Journal of Photogrammetry and Remote Sensing 64 (1): 1-16.
24. Mcroberts, r.e., toMppo, e., scHadauer, k., vidal, c. & ståHl, g., 2012: Harmonizing national forest inventories. -Forest Science 58 (3): 189-190.
25. Morsdorf, f., Meier, e., kötz, b., itten, k., dobbertin, M. & allgöWer, b., 2004: LIDAR-based geometric reconstruction of boreal type forest stands at single tree level for forest and wildland fire management. -Remote Sensing of Environment 92 (3): 353-362.
26. Morsdorf, f., nicHol, c., MaltHus, t. & WoodHouse, i.H., 2009: Assessing forest structural and physiological information content of multispectral LiDAR waveforms by radiative transfer modeling. -Remote Sensing of Environment 113 (10): 2152-2163.
27. Mücke, W., briese, c. & Hollaus, M., 2010: Terrain echo probability assignment based on fullwaveform airborne laser scanning observables. -International Archives of Photogrammetry and Remote Sensing XXXVIII/7A: 157-162.
28. Mücke, W. & Hollaus, M., 2011: Modelling light conditions in forests using airborne laser scanning data. -SilviLaser, Hobart, Australia.
29. Mücke, W., Hollaus, M. & pfeifer, n., 2012: Identification of dead trees using small footprint fullwaveform airborne laser scanning data. -SilviLaser, Vancouver, Canada.
30. Nadkarni, n.M., McintosH, a.c.s. & cusHing, J.b., 2008: A framework to categorize forest structure concepts. -Forest Ecology and Management 256 (5): 872-882.
31. Persson, å., söderMan, u., töpel, J. & aHlberg, s., 2005: Visualization and analysis of fullwaveform airborne laser scanner data. -International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 36 (3): W19.
32. Reitberger, J., scHnörr, c., krzYstek, p. & stilla, u., 2009: 3D segmentation of single trees exploiting full-waveform LiDAR data. -ISPRS Journal of Photogrammetry and Remote Sensing 64 (6): 561-574.
33. RIEGL, 2012: Products. Airborne Scanning. Datasheets. http://www.riegl.com/nc/products/airborne-scanning/produktdetail/product/ scanner/ (21.12.2012).
34. Roberts, J., tesfaMicHael, s., gebreslasie, M., van aardt, J. & aHMed, f., 2007: Forest structural assessment using remote sensing technologies: an overview of the current state of the art. -Southern Hemisphere Forestry Journal 69 (3): 183-203.
35. Ross, a.n., 2011: Boundary-layer flow within and above a forest canopy of variable density. -Quarterly Journal of the Royal Meteorological Society.
36. Sierra, c.a., loescHer, H.W., HarMon, M.e., ricHardson, a.d., Hollinger, d.Y. & perakis, s.s., 2009: Interannual variation of carbon fluxes from three contrasting evergreen forests: the role of forest dynamics and climate. -Ecology 90 (10): 2711-2723.
37. Strand, g., draMstad, W. & engan, g., 2002: The effect of field experience on the accuracy of identifying land cover types in aerial photographs. -International Journal of Applied Earth 4 (2): 137-146.
38. VALERI, 2013: w3.avignon.inra.fr/valeri/(20.2.2013).
39. Van calster, H., baeten, l., verHeYen, k., de keersMaeker, l., dekeYser, s., rogister, J.e. & HerMY, M., 2008: Diverging effects of overstorey conversion scenarios on the understorey vegetation in a former coppice-with-standards forest. -Forest Ecology and Management 256 (4): 519-528.
40. VauHkonen, J., tokola, t., packalén, p. & MaltaMo, M., 2009: Identification of Scandinavian commercial species of individual trees from airborne laser scanning data using alpha shape metrics. -Forest Science 55 (1): 37-47.
41. Wagner, W., Hollaus, M., briese, c. & ducic, v., 2008: 3D vegetation mapping using small-footprint full-waveform airborne laser scanners. -International Journal of Remote Sensing 29 (5): 1433-1452.
42. Wagner, W., 2010: Radiometric calibration of small-footprint airborne laser scanner measurements: Basic physical concepts. -ISPRS Journal of Photogrammetry and Remote Sensing 65 (10): 505-513.
43. Wulder, M.a., bater, c.W., coops, n.c., Hilker, t. & WHite, J.c., 2008: The role of LiDAR in sustainable forest management. -The Forestry Chronicle 84 (6): 807-826.
44. Wulder, M.a., WHite, J.c., nelson, r.f., næsset, e., Ørka, H.o., coops, n.c., Hilker, t., bater, c.W. & gobakken, t., 2012: LiDAR sampling for large-area forest characterization: A review. -Remote Sensing of Environment 121: 196-209.
45. Xue, b.l., kuMagai, t., iida, s., nakai, t.,MatsuMoto, k., koMatsu, H., otsuki, k. & oHta, t., 2011: Influences of canopy structure and physiological traits on flux partitioning between understory and overstory in an eastern Siberian boreal larch forest. -Ecological Modeling 222 (8): 1479-1490.
46. Yang, r. & friedl, M.a., 2003: Modeling the effects of three-dimensional vegetation structure on surface radiation and energy balance in boreal forests. -Journal of Geophysical Research D: Atmospheres 108 (16): GCP10-1-GCP10-11.
47. Zhao, k., popescu, s., Meng, X., pang, Y. & agca, M., 2011: Characterizing forest canopy structure with LiDAR composite metrics and machine learning. -Remote Sensing of Environment 115 (8): 1978-1996.