XXII ISPRS Congress 2012: Technical Commission VII

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Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VII/7, III/2, V/3: WAVEFORM LIDAR FOR REMOTE SENSING]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: WAVEFORM ANALYSIS FOR THE EXTRACTION OF POST-FIRE VEGETATION CHARACTERISTICS F. Pirotti, A. Guarnieri, A. Vettore

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia that the differences between samples in different sectors is significant over sector 1 (forest) and the other sectors. Sector 3 is also significantly different from the other sectors except sector 2. This can be explained on the fact that the area in sector 3 has stems of deadwood standing, thus the height distribution is different from the other sectors, where all stems were cut down. The method was not able to discriminate between sectors 2, 4 and 5. The low vegetation present and the sample area size do not bring enough height variance between them for discrimination. A solution could be to use smaller sample plots over more representative spots, avoiding the inclusion of a large percent of bare ground in the plot. A stratified sampling procedure using image interpretation could be used to segment an image masking the ground area. SI S2 S3 S4 S5 S1 | - 0;56* 046% 043* 0:32* S2 - 0.36 0.19 0.12 S3 - 0.41* 0.47* S4 - 0.11 S5 - *Indicates a significant difference in distributions at a — 0.05 Table 3. Characteristics of the four test sectors. Figure 4. Top — 3D view of plot without ground returns — the scale reports the intensity in 8 bit scale. Bottom - four slices from the voxel grid reporting digitizer counts of waveform. 526 Another factor to consider is that the sampling of the waveform occured with a nominal threshold which was chosen according to the observed values. This was possible because we worked on a single survey and thus the survey characteristics which influence the outgoing energy for every pulse — thus the return energy loss — where relatively constant (relative flying height, pulse frequency). A more objective method would be to calculate only the segment with Full Width at Half Maximum (FWHM) criteria. 4. CONCLUSIONS The results are part of a more in-depth investigation for evaluating methods for discriminating low vegetation distribution over land for defining the effect of re-forestation methods in a broader ongoing project which investigates vegetation dynamics in areas which have been part of a severe fire event. A positive result over the sampled areas will enable to apply the method and evaluate results over larger areas to test for robustness. The proposed modifications mentioned in the discussion will be applied to test for improved results. The final objective is to provide a method to segment 3D space into significant information using waveform data. 5. ACKNOWLEDGEMENTS This work is part of the CPDA097420 project funded by the University of Padua: "Disturbi naturali in foreste alpine: approccio multiscala e applicazioni LiDAR", scientific coordinator prof. Emanuele Lingua. REFERENCES Ackermann, F. 1999. Airborne laser scanning—present status and future expectations. /SPRS Journal of Photogrammetry and Remote Sensing 54(1), pp. 64— 67. Carson, W.W., Andersen H-E., Reutebuch, S.E., McGaughey R.J. 2004. Lidar Applications in Forestry: an Overview. In: ASPRS Annual Conference Proceedings, May, Denver, Colorado. Chauve A., Mallet C., Bretar F., Durrieu S., Pierrot-Deseilligny M., Puech W. 2007. Processing Full-Waveform LiDAR Data: Modelling Raw Signals. In: Proceedings of the "Laser Scanning 2007 and SilviLaser 2007" 2007. Espoo, Finland, September 2007, pp. 102-108. Drake, J.B., Dubayah, R.O., Clark, D.B., Knox, R.G., Blarr, J.B., Hofton, M.A., Chazdon, R.L., Weishampel, J.F., Prince, S. 2002. Estimation of tropical forest structural characteristics, using large-footprint LIDAR . Remote Sensing of Environment 79, pp. 305-319. Harding, D.J., Lefsky M.A., Parker, G.G., 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. Harding, D.L., Carabajal, C.C. 2005. ICESat waveform measurement of within-footprint topographic relief and vegetation structure. Geophysical Research Letters 32, L21S10.

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