XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

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Multivolume work

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:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

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

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

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

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:: [VIII/7: Forestry]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: AN INTERCOMPARISON OF PASSIVE TERRESTRIAL REMOTE SENSING TECHNOLOGIES TO DERIVE LAI AND CANOPY COVER METRICS W. L. Woodgate

Document type:: Multivolume work

Structure type:: Chapter

woody legume from the Brazilian Cerrado. Revista Brasileira de Fisiologia Vegetal, 9(1), 1-7. Chen, J. M., Black, T. A., & Adams, R. S. (1991). Evaluation of hemispherical photography for determining plant area index and geometry of a forest stand. Agricultural and Forest Meteorology, 56(1-2), 129- 143. Coops, N. C., Smith, M. L., Jacobsen, K. L., Martin, M., & Ollinger, S. (2004). Estimation of plant and leaf area index using three techniques in a mature native eucalypt canopy. Austral Ecology, 29(3), 332-341. CRC-SI. (2012). Woody vegetation (2.07). Retrieved 11/04/ 2012, from http//www.crcsi.com.au/Research/2- Feature-Extraction/2-07-Woody-Vegetation, accessed 12 April 2012. Danson, F. M., Hetherington, D., Morsdorf, F., Koetz, B., & Allgower, B. (2007). Forest canopy gap fraction from terrestrial laser scanning. Geoscience and Remote Sensing Letters, IEEE, 4(1), 157-160. FAO. (2010). Forest and climate change working paper 4. Rome: FAO. Fu, Z., Wang, J., Song, J., Zhou, H., Pang, Y., Cai, W., et al. (2009). Forest canopy structural parameters and leaf area index retrieval using multi-sensors synergy observations. Garnaut, R. (2008). The Garnaut climate change review: Final report. Port Melbourne, Vic.: Cambridge University Press. Garrigues, S., Shabanov, N. V., Swanson, K., Morisette, J. T Baret, F., & Myneni, R. B. (2008). Intercomparison and sensitivity analysis of leaf area index retrievals from lai-2000, accupar, and digital hemispherical photography over croplands. Agricultural and Forest Meteorology, 148(8-9), 1193-1209. GCOS. (2010). Implementation plan for the global observing system for climate in support of the UNFCCC. hitp./www.wmo.int/pages/prog/ecos/documents/GC OSIP-10. DRAFTvI.O. 131109.pdf. accessed 12 April 2012. GTOS. (2009). Assessment of the status of the development of the standards for the terrestrial essential climate variables: LAI, GTOS 66 Hill, M. J., Senarath, U., Lee, A., Zeppel, M., Nightingale, J. M., Williams, R. J., et al. (2006). Assessment of the modis lai product for australian ecosystems. Remote Sensing of Environment, 101(4), 495-518. INRA. (2010). Can-eye v6.1 user manual: INRA. Jennings, S. B., Brown, N. D., & Sheil, D. (1999). Assessing forest canopies and understorey illumination: Canopy closure, canopy cover and other measures. Forestry, 72(1), 59-73. Lanly, J.-P. (1995). Sustainable forest management: Lessons of history and recent developments. Unasylva, 46(182), 38-45. Morisette, J. T., Baret, F., Privette, J. L., Myneni, R. B,, Nickeson, J. E., Garrigues, et al. (2006). Validation of global moderate-resolution LAI products: A framework proposed within the CEOS land product validation subgroup. IEEE Transactions on Geoscience and Remote Sensing, 44(7) Morsdorf, F., Kótz, B., Meier, E., Itten, K. L, & Allgówer, B. (2006). Estimation of lai and fractional cover from , small footprint airborne laser scanning data based on gap fraction. Remote Sensing of Environment, 1 04(1), 50-61. Nelder, J. A., (1962). New kinds of systematic designs for spacing experiments. Biometrics, 18(3), 283-307. NERC. (2012, 22/10/2010). The specim asia eagle and hawk. from http://arsf.nerc.ac.uk/instruments/specim.asp, accessed 12 April 2012. Raison, R. J., Brown, A. G., & Flinn, D. W. (1998). Criteria and indicators for sustainable forest management. In IUFRO/CIFOR/FAO (Ed), Sustainable forest management: fostering stakeholder input to advance development of scientifically based indicators. Melbourne, Australia: IUFRO/CIFOR/FAO. Running, S. W., Peterson, D. L., Spanner, M. A., & Teuber, K. B. (1986). Remote sensing of coniferous forest leaf area. Ecology, 67(1), 273-276. TERN. (2012, 06/12/11). SLATS star transect protocol. Retrieved 12/04/12, from http://data.auscover.org.au/xwiki/bin/view/Field- Site s/Start+Transect+ Protocol Web+Page, accessed 12 April 2012. Vosselman, G., & Maas, H. G. (2010). Airborne and terrestrial laser scanning. Whittles Publishing, UK, pp. 1-336 Watson, D. J. (1947). Comparative physiological studies on the growth of field crops: I. Variation in net assimilation rate and leaf area between species and varieties, and within and between years. Annals of Botany, 11(1), 41-76. White, M. A., Asner, G. P., Nemani, R. R., Privette, J. L., & Running, S. W. (2000). Measuring fractional cover and leaf area index in arid ecosystems: Digital camera, radiation transmittance, and laser altimetry methods. RemoteSensing of Environment, 74(1), 45- 57. Wilson, J. (1963). Errors resulting from thickness of point quadrats. Australian Journal of Botany, 11(2), 178- 188. Woodgate, P.W., Peel, W.D., Ritman, K.T., Coram, J.E., Brady, A., Rule, A.J. & Banks ,J.C.G. (1994). A study of the Old-growth Forests of East Gippsland. Department of Conservation and Natural Resources, Victoria. Zheng, G., & Moskal, L. M. (2009). Retrieving leaf area index (LAI) using remote sensing: Theories, methods and sensors. Sensors, 9(4), 2719-2745. 5. ACKNOWLEDGEMENTS This work is being conducted as part of my PhD. I would like to thank my supervisors Andy Haywood (DSE), Simon Jones (RMIT) and Joe Leach (Melbourne Uni) for their guidance and assistance with this research to date; Prof. Mark Shortis (RMIT) and Dr. Christos Stamatopoulos (Melbourne Uni) for their assistance with camera calibration; the Vegetation Sensing and Information team from CSIRO Land and Water, specifically Darius Culvenor, Kimberley Opie, and Glenn Newnham; other team members and in-kind supporters of CRCSI Project 2.07, Chris Axelsson (RMIT), Mariela Soto- Berelov (RMIT), Phil Wilkes (RMIT), Andrew Mellor (DSE) and Andrew Clarke (DSE); Melbourne University and CRC-SI for their funding.

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