XXII ISPRS Congress 2012: Technical Commission VIII

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

Bibliographic data

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/6: Agriculture, Ecosystems and Bio-Diversity]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: ESTIMATING BIOCHEMICAL PARAMETERS OF TEA (CAMELLIA SINENSIS (L.)) USING HYPERSPECTRAL TECHNIQUES Meng Bian, Andrew K. Skidmore, Martin Schlerf, Yanfang Liu, Tiejun Wang

Document type:: Multivolume work

Structure type:: Chapter

8, 2012 e main reason its. oression is an ameters from 2). Predictive ion produced with those of ental study on nance of PLS physical and e potential to 'al data. predicted with ata at canopy bination with Jased on the /e projections prediction of tea plants: the were less than " SPA solution iables with an figure 4). Our lly applied the g biochemical 2009). . a greenhouse 'onditions, this ential to use in space and py level using r spaceborne f biochemical is biochemical environmental (s; tudy: ients (total tea stimated from lay have the ration of tea. ng total tea " compared to round powder cate surrogate 1 of fresh leaf n our study, ve projections velengths and n of nonlinear | and spectral . from canopy ectral remote ct tea quality e or regional logy described International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia References: Araûjo, M.C.U. et al, 2001. The successive projections algorithm for variable selection in spectroscopic multicomponent analysis — Chemometrics and Intelligent Laboratory Systems, 57(2), pp. 65-73. Card, D.H., Peterson, D.L., Matson, P.A. and Aber, J.D., 1988. Prediction of leaf chemistry by the use of visible and near infrared reflectance spectroscopy. Remote Sensing of Environment, 26(2), pp. 123-147. Cho, M.A., Skidmore, A., Corsi, F., van Wieren, S.E. and Sobhan, L, 2007. Estimation of green grass/herb biomass from airborne hyperspectral imagery using spectral indices and partial least squares regression. International Journal of Applied Earth Observation and Geoinformation, 9(4), pp. 414-424. Curran, P.J., 1989. Remote sensing of foliar chemistry. Remote Sensing of Environment, 30(3), pp. 271-278. Curran, P.J., Dungan, J.L. and Peterson, D.L., 2001. Estimating the foliar biochemical concentration of leaves with reflectance spectrometry: Testing the Kokaly and Clark methodologies. Remote — Sensing of Environment, 76(3), pp. 349-359. Darvishzadeh, R. et al., 2008. LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements. ISPRS Journal of Photogrammetry and Remote Sensing, 63(4), pp. 409-426. Davey, M.W. et al, 2009. Application of visible and near- infrared reflectance spectroscopy (Vis/NIRS) to determine carotenoid contents in banana (Musa spp.) frut pulp. Journal of Agricultural and Food Chemistry, 57(5), pp. 1742-1751. Gitelson, A., Gritz, Y. and Merzlyak, M., 2003. Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. Journal of Plant Physiology, 160(3), pp. 271-282. Knox, N.M. et al., 2011. Dry season mapping of savanna forage quality, using the hyperspectral Carnegie Airborne Observatory sensor. Remote Sensing of Environment, pp. Kokaly, R.F., Asner, G.P., Ollinger, S.V., Martin, M.E. and Wessman, C.A., 2009. Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies. Remote Sensing of Environment, 113(SUPPL. 1), pp. S78-S91. Lera, G. and Pinzolas, M., 2002. Neighborhood based Levenberg-Marquardt algorithm for neural network training. Neural Networks, IEEE Transactions on, : 13(5), pp. 1200-1203. Lin, GF. and Chen, L.H., 2004. A non-linear rainfall-runoff model using radial basis function network. Journal of ; Hydrology, 289(1-4), pp. 1-8. Liu, F. and He, Y., 2009. Application of successive projections algorithm for variable selection to determine organic acids of plum vinegar. Food Chemistry, 115(4), pp. 1430-1436. More, J, 1978. The Levenberg-Marquardt algorithm: implementation and theory. Numerical analysis, 630, pp. 105-116. Mutanga, O. and Kumar, L., 2007. Estimating and mapping grass phosphorus concentration in an African savanna using hyperspectral image data. International Journal of Remote Sensing, 28(21), pp. 4897-4911. Mutanga, O., Skidmore, A.K. and Prins, H.H.T., 2004. Predicting in situ pasture quality in the Kruger National Park, South Africa, using continuum- removed absorption features. Remote Sensing of Environment, 89(3), pp. 393-408. Schlerf, M. et al., 2010. Retrieval of chlorophyll and nitrogen in Norway spruce (Picea abies L. Karst.) using imaging spectroscopy. International Journal of Applied Earth Observation and Geoinformation, 12(1), pp. 17-26. Skidmore, A.K. et al, 2010. Forage quality of savannas - Simultaneously | mapping foliar protein and polyphenols for trees and grass using hyperspectral imagery. Remote Sensing of Environment, 114(1), pp. 64-72. Yan, S.H., 2007. NIR evaluation of the quality of tea and its market price. Spectroscopy Europe, 19(2), pp. 16-19. Acknowledgements This research was financially supported by University of Twente-ITC, the Netherlands and Wuhan University, China. Many thanks go to Prof. Dejiang Ni in Huazhong Agricultural University for his great help during the fieldwork in China, Prof. Pingxiang Li and Liangpei Zhang in the State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, China, for sharing the field ASD spectrometer. Our thanks also go to Dr. Yi Cen in Changjiang River Scientific Research Institute (China) and Dr. Tao Chen in China University of Geosciences who gave their assistance during the research.

Access restriction

Copyright

fullscreen: Technical Commission VIII (B8)

Multivolume work

Volume

Chapter

Chapter

Table of contents

Cite and reuse

Volume

Chapter

Image

Image fragment

Citation links

Citation recommendation