XXII ISPRS Congress 2012: Technical Commission VII

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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:: 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/5: METHODS FOR CHANGE DETECTION AND PROCESS MODELLING]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: EVALUATION OF TERRESTRIAL LASER SCANNING FOR RICE GROWTH MONITORING N. Tilly, D. Hoffmeister, H. Liang, Q. Cao, Y. Liu, V. Lenz-Wiedemann, Y. Miao, G. Bareth

Document type:: Multivolume work

Structure type:: Chapter

plant growth are measureable by this method. A very good correlation between plant height and dry biomass enables the establishment of biomass calculations at a certain time step by this measurement technique. Furthermore, the visualization of the spatial distribution in a high resolution is possible. For the future, two research approaches should be followed. First, TLS data could be linked to spectral data, acquired in the field (Lietal., 2010). Secondly, the usability of Unmanned Aerial Vehicles (UAV) for rice growth monitoring with laser scanning might be considered. As Bareth et al. (2011) mention, the Riegl LMS-Q160, developed for ALS, might be a promising device. 6. ACKNOWLEDGEMENTS This work was financially supported by the International Bureau of the German Federal Ministry of Education and Research (BMBF, project number 01DO12013) and the German Research Foundation (DFG, project number BA 2062/8-1). We gratefully thank the Qixing Research and Development Centre, the Jiansanjiang Agricultural Research Station (both located in Heilongjiang Province, China) and Five Star Electronic Technologies (Beijing, China) for good cooperation. Furthermore, we like to thank RIEGL LMS GmbH (Horn, Austria) for continuous support. 7. REFERENCES Bareth, G., Bolten, A. and Bendig, J., 2011. Potentials of low- cost mini-UAVs. In: Lenz-Wiedemann, V. and Bareth, G. (eds). Proc. of the Workshop on Remote Sensing Methods for Change Detection and Process Modelling, Cologne, Germany. Kólner Geographische Arbeiten, 192, pp. 1-8. Besl, P.J. and McKay, N.D., 1992: A method for registration of 3-D shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(2), pp. 239-256. Casanova, D., Epema, G.F. and Goudriaan, J., 1998. Monitoring rice reflectance at field level for estimating biomass and LAI. Field Crops Reasearch, 55, pp. 83-92. Ehlert, D., Adamek, R. and Horn, H.-J, 2009. Laser rangefinder-based measuring of crop biomass under field conditions. Precision Agriculture, 10(5), pp. 395-408. doi: 10.1007/s11119-009-9114-4. Ehlert, D., Horn, H.-J. and Adamek, R., 2008. Measuring crop biomass density by laser triangulation. Computer and Eletronics in Agriculture (61), pp. 117-125. Eitel, JU.H., Vierling, L.A. and Long DS, 2010. Simultaneous measurements of plant structure and chlorophyll content in broadleaf saplings with a terrestrial laser scanner. Remote Sensing of Environment, 114, pp. 2229-2237. Eitel, J.U.H., Vierling, L.A., Long, D.S. and Hunt, E.R., 2011. Early season remote sensing of wheat nitrogen status using a green scanning laser. Agriculture and Forest Meteorology, 151, pp. 1338-1345. Gao, J. and Liu, Y., 2011. Climate warming and land use change in Heilongjiang Province, Northeast China. Applied Geography, 31, pp. 476-482. 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 Hoffmeister, D., Bolten, A., Curdt, C., Waldhoff, G. and Bareth, G., 2010. High resolution Crop Surface Models (CSM) and Crop Volume Models (CVM) on field level by terrestrial laserscanning. Proc. SPIE, 7840, 78400E. 6 p. doi: 10.1117/12.872315. Hoffmeister, D., Curdt, C., Tilly, N., Bendig, J. and Bareth, G., 2011. 3D change detection of different sugar-beet types by multi-temporal terrestrial laser scanning. Proc. Int. Symposium on remote sensing and GIS methods for change detection and spatio-temporal modeling, Hong Kong, China. ICASD, 2012. International Center for Agro-Informatics and Sustainable Development. Cologne, Germany. http://www.icasd.org (9. Jan 2012) Jensen, J.R., 2007. Remote Sensing of the Environment. Upper Saddle River, USA. Kraus, K., 2004. Photogrammetrie. Berlin, Germany. Koppe, W., Gnyp, M., Hiitt, C., Yao, Y., Miao, Y., Chen, X. and Bareth, G., 2012, in press. Rice monitoring with multi- temporal and dual-polarimetric TerraSAR-X data. JARS. Li, F., Miao, Y., Hennig, S.D., Gnyp, M.L., Chen, X., Jia, L. and Bareth, G., 2010. Evaluating hyperspectral vegetation indicies for estimating nitrogen concentration of winter wheat at different growth stages. Precision Agriculture, 11, pp. 335-357. Lumme, J., Karjalainen, M., Kaartinen, H., Kukko, A., Hyyppá, J., Hyyppá, H., Jaakola, A. and Kleemola, J., 2008. Terrestrial Laser Scanning of agricultural crops. In: XXI. ISPRS Conference, 3.-11. July 2008. Beijing, China. pp. 563-566. McKinion, J.M., Willers, J.L. and Jenkins, J.N., 2010. Spatial analyses to evaluate multi-crop yield stability for a field. Computers and Electronics in Agriculture, 70, pp. 187-198. Riegl LMS GmbH, 2011. Datasheet Riegl VZ-1000. http://riegl.com/uploads/tx pxpriegldownloads/10 DataSheet VZ1000 12-09-2011.pdf (9. Jan 2012) Ryu, C., Suguri, M. and Umeda, M., 2011. Multivariate analysis of nitrogen content for rice at the heading stage using reflectance of airborne hyperspectral remote sensing. Field Crops Research, 122, pp. 214-224. Saeys, W., Lenaerts, B., Craessaerts, G. and De Baerdemaeker, J., 2009. Estimation of the crop density of small grains using LiDAR sensors. Biosystems Engineering, 102, pp. 22-30. Shan, J. and Toth, C.K., 2009. Topographic Laser Ranging and Scanning. Boca Raton, USA. pp. 1-28. Vosselmann, G. and Maas, H.-G., 2010. Airborne and terrestrial laser scanning. Dunbeath, UK. Yang, X.H., Huang, J.F., Wu, Y.P., Wang, J.W., Wang, P., Wang, X.M. and Huete, A.R., 2011. Estimating biophysical parameters of rice with remote sensing data using support vector machines. Science China Life Sciences, 54, pp. 272-281.

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