Table of Contents Author Guidelines Submit a Manuscript
International Journal of Antennas and Propagation
Volume 2012, Article ID 409512, 9 pages
http://dx.doi.org/10.1155/2012/409512
Research Article

Characterization of Maritime Pine Forests with Combination of Simulated P-Band SAR Data and Hyperspectral Data

1Electromagnetism and Radar Department, Radio-Communication and Propagation research Unit, Office National d’Études et de Recherches Aérospatiales (ONERA), 2 avenue Edouard Belin, BP7 4025, 31055 Toulouse Cedex 4, France
2Centre d’Etudes Spatiales de la Biosphère (CESBIO), 18 avenue Edouard Belin, BP 2801, 31401 Toulouse Cedex 9, France

Received 22 June 2012; Accepted 21 October 2012

Academic Editor: Hosam El-Ocla

Copyright © 2012 C. Albinet et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. T. Le Toan, S. Quegan, M. W. J. Davidson et al., “The BIOMASS mission: mapping global forest biomass to better understand the terrestrial carbon cycle,” Remote Sensing of Environment, vol. 115, pp. 2850–2860, 2011. View at Publisher · View at Google Scholar · View at Scopus
  2. R. N. Treuhaft, G. P. Asner, B. E. Law, and S. Van Tuyl, “Forest leaf area density profiles from the quantitative fusion of radar and hyperspectral data,” Journal of Geophysical Research D, vol. 107, no. 21, p. 4568, 2002. View at Publisher · View at Google Scholar · View at Scopus
  3. P. E. Ardanuy, D. Han, and V. V. Salomonson, “The moderate resolution imaging spectrometer (MODIS) science and data system requirements,” IEEE Transactions on Geoscience and Remote Sensing, vol. 29, no. 1, pp. 75–88, 1991. View at Publisher · View at Google Scholar · View at Scopus
  4. D. G. Goodenough, H. Chen, A. Dyk, G. Hobart, and A. Richardson, “Fusion of radar and hyperspectral data for forest applications,” in Proceedings of the 59th International Astronautical Congress (IAC '08), pp. 2895–2899, Glasgow, Scotland, October 2008. View at Scopus
  5. C. Albinet, P. Borderies, and S. Fabre, “Radar and optical parallel modelling of forest remote sensing data,” International Journal of Remote Sensing Applications, vol. 2, no. 4, 2012. View at Google Scholar
  6. K. Saleh, A. Porté, D. Guyon, P. Ferrazzoli, and J. P. Wigneron, “A forest geometric description of a maritime pine forest suitable for discrete microwave models,” IEEE Transactions on Geoscience and Remote Sensing, vol. 43, no. 9, pp. 2024–2034, 2005. View at Publisher · View at Google Scholar · View at Scopus
  7. P. Borderies, L. Villard, C. Albinet, and N. Floury, “Forest modelling At P-band: temperate pine forest,” in Proceedings of the International Geoscience and Remote Sensing Symposium, Munich, Germany, 2012.
  8. L. Villard, I. Hajnsek, and K. Papathanassiou, “Pol-InSAR simulations in forest bistatic scattering,” in Proceedings of the 7th European Conference on Synthetic Aperture Radar (EUSAR '08), 2008.
  9. J. P. Gastellu-Etchegorry, E. Martin, and F. Gascon, “DART: a 3D model for simulating satellite images and studying surface radiation budget,” International Journal of Remote Sensing, vol. 25, no. 1, pp. 73–96, 2004. View at Google Scholar · View at Scopus
  10. ASTER Spectral Library-Version 2.0, http://speclib.jpl.nasa.gov/.
  11. S. Jacquemoud and F. Baret, “PROSPECT: a model of leaf optical properties spectra,” Remote Sensing of Environment, vol. 34, no. 2, pp. 75–91, 1990. View at Google Scholar · View at Scopus
  12. M. Lang, A. Kuusk, T. Nilson, T. Lukk, M. Pehk, and G. Alm, “Reflectance spectra of ground vegetation in sub-boreal forests,” Tartu Observatory, Estonia, 2002, http://www.aai.ee/bgf/ger2600/.
  13. A. Lesaignoux, Estimation de l’Humidité de Surface des Sols Nus à Partir de l’Imagerie Hyperspectrale sur le Domaine Optique 0.4–14 μm [Ph.D. dissertation], Institut Supérieur de l’Aéronautique et de l’Espace, 2010.
  14. T. Loke, “High resolution, high speed hyperspectral cameras for laboratory industrial and airborne applications,” Norsk Elektro Optikk.
  15. J. Way, J. Paris, M. C. Dobson et al., “Diurnal change in trees as observed by optical and microwave sensors: The EOS Synergism Study,” IEEE Transactions on Geoscience and Remote Sensing, vol. 29, no. 6, pp. 807–821, 1991. View at Google Scholar · View at Scopus
  16. F. J. Kriegler, W. A. Malila, R. F. Nalepka, and W. Richardson, “Preprocessing transformations and their effects on multispectral recognition,” in Proceedings of the 6th International Symposium on Remote Sensing of Environment, pp. 97–131, 1969.
  17. P. Ceccato, N. Gobron, S. Flasse, B. Pinty, and S. Tarantola, “Designing a spectral index to estimate vegetation water content from remote sensing data: Part 2. Validation and applications,” Remote Sensing of Environment, vol. 82, no. 2-3, pp. 198–207, 2002. View at Publisher · View at Google Scholar · View at Scopus
  18. A. Lesaignoux, S. Fabre, X. Briottet, and A. Olioso, “Estimation of Soil Moisture Content of bare soils from their spectral optical properties in the 0.4–12 μM spectral domain,” in Proceedings of the 30th IEEE International Geoscience and Remote Sensing Symposium (IGARSS '10), pp. 3861–3864, July 2010. View at Publisher · View at Google Scholar · View at Scopus
  19. D. M. Gates, “Water relations of forest trees,” IEEE Transactions on Geoscience and Remote Sensing, vol. 29, no. 6, pp. 836–842, 1991. View at Publisher · View at Google Scholar
  20. K. Pearson, “On lines and planes of closest fit to systems of points in space,” Philosophical Magazine, vol. 2, no. 6, pp. 559–572, 1901. View at Google Scholar
  21. M. L. Truong-Loï, P. Dubois-Fernandez, E. Pottier, A. Freeman, and J. C. Souyris, “Potentials of a compact polarimetric SAR system,” in Proceedings of the 30th IEEE International Geoscience and Remote Sensing Symposium (IGARSS '10), pp. 742–745, Honolulu, Hawaii, USA, July 2010. View at Publisher · View at Google Scholar · View at Scopus
  22. C. Chatfield and A. J. Collins, Introduction to Multivariate Analysis, Chapman and Hall, 1980.