Characterization of crop vitality and resource use efficiency by means of combining imaging spectroscopy based plant traits

Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing

Volumn 2014-June, Issue , 2014, Pages

  Liebisch, Frank ^a   Küng, Gabriela ^a   Damm, Alexander ^b   Walter, Achim ^a  

^a ETH ZURICH   (Switzerland)

^b UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

APEX; crop performance; crop vitality; major crops; precision agriculture

Indexed keywords

ANTENNAS; DECISION MAKING; EFFICIENCY; IMAGE PROCESSING; LAND USE; NATURAL RESOURCES MANAGEMENT; PRECISION AGRICULTURE; REMOTE SENSING; SPECTROMETERS; SPECTROSCOPY;

AGRICULTURAL SYSTEM; AIRBORNE PRISM EXPERIMENTS; APEX; CROP PERFORMANCE; HIGHLY-CORRELATED; IMAGING SPECTROMETERS; IMAGING SPECTROSCOPY; LAND USE AND LAND COVER;

CROPS;

EID: 85029408945     PISSN: 21586276     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2014.8077612     Document Type: Conference Paper

References (16)

1. FAO, "WORLD AGRICULTURE TOWARDS 2030/2050. The 2012 Revision, " 2012.
2. M. Jansen, F. Pinto, K. A. Nagel et al., "Non-invasive Phenotyping Methodologies Enable the Accurate Characterization of Growth and Performance of Shoots and Roots, " Genomics of Plant Genetic Resources, R. Tuberosa et al., ed., Dordrecht: Springer Science+Business Media, 2014.
3. A. Walter, B. Studer, and R. Kölliker, "Advanced phenotyping offers opportunities for improved breeding of forage and turf species, " Annals of Botany, 2012.
4. N. Pettorelli, The Normalized Difference Vegetation Index, pp. 208, Oxford: OUP, 2013.
5. D. Haboudane, J. R. Miller, E. Pattey et al., "Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture, " Remote Sensing of Environment, vol. 90, no. 3, pp. 337-352, 2004.
6. B.-C. Gao, "NDWI-A normalized difference water index for remote sensing of vegetation liquid water from space, " Remote Sensing of Environment, vol. 58, no. 3, pp. 257-266, 1996.
7. D. Haboudane, N. Tremblay, J. R. Miller et al., "Remote estimation of crop chlorophyll content using spectral indices derived from hyperspectral data, " IEEE Transactions on Geoscience and Remote Sensing, vol. 46, no. 2, pp. 423-437, 2008.
8. A. A. Gitelson, G. P. Keydan, and M. N. Merzlyak, "Three-band model for noninvasive estimation of chlorophyll, carotenoids, and anthocyanin contents in higher plant leaves, " Geophysical Research Letters, no. 33, 2006.
9. S. L. Ustin, A. A. Gitelson, S. Jacquemoud et al., "Retrieval of foliar information about plant pigment systems from high resolution spectroscopy, " Remote Sensing of Environment, vol. 113, Supplement 1, pp. 67-77, 2009.
10. H. G. Jones, and R. A. Vaughan, Remote sensing of vegetation, principles, techniques and applications, Oxford: Oxford University Press, 2010.
11. R. M. Hausherr, E. Brack, and R. Flisch, "Auswirkungen suboptimaler Düngung auf Ackerkulturen, " AGRARForschung, vol. 14, no. 9, pp. 400-405, 2007.
12. BBLF, "Entwicklungsstadien mono-und dikotyler Pflanzen. Biologische Bundesanstalt für Land und Forstwirtschaft, " BBCH Monografie, 2001.
13. P. Dòdorico, L. Guanter, M. E. Schaepman et al., "Performance assessment of onboard and scene-based methods for Airborne Prism Experiment spectral characterization, " Applied Optics, vol. 50, no. 24, pp. 4755-4764, 2011.
14. A. Hueni, S. Sterckx, M. Jehle et al., "Operational status of APEX and characteristics of the APEX open science data set, " Geoscience and Remote Sensing Symposium (IGARSS), IEEE International, pp. 5009-5012, 2012.
15. R-Development-Core-Team, "R: A language and environment for statistical computing, " R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www. R-project. org., 2008].
16. P. F. Chen, D. Haboudane, N. Tremblay et al., "New spectral indicator assessing the efficiency of crop nitrogen treatment in corn and wheat, " Remote Sensing of Environment, vol. 114, no. 9, pp. 1987-1997, 2010.