185
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Discriminant analysis of olive oil mill wastes using spectroradiometers in the visible and near infrared part of the spectrum

, &
Pages 793-809 | Received 22 Jun 2015, Accepted 16 Oct 2015, Published online: 17 Feb 2017

References

  • Agapiou A., Papadopoulos N., Sarris A. (2015)—Olive oil mill wastes: a monitoring approach through space technologies. Proceedings of the Third International Conference on Remote Sensing and Geoinformation of Environment, 16–19 March 2015, Pafos, Cyprus.
  • Agapiou A., Hadjimitsis D. G., Papoutsa C., Alexakis D. D., Papadavid G. (2011)—The Importance of Accounting for Atmospheric Effects in the Application of NDVI and Interpretation of Satellite Imagery Supporting Archaeological Research: The Case Studies of Palaepaphos and Nea Paphos Sites in Cyprus. Remote Sensing, 3: 2605–2629. doi: http://dx.doi.org/10.3390/rs3122605.
  • Asfi M., Ouzounidou G., Panajiotidis S., Therios I., Moustakas M. (2012)—Toxicity effects of olive-mill wastewater on growth, photosynthesis and pollen morphology of spinach plants. Ecotoxicology and Environmental Safety, 80 (1): 69–75. doi: http://dx.doi.org/10.1016/j.ecoenv.2012.02.030.
  • Baret F., Guyot G. (1991)—Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of Environment, 35: 161–173. doi: http://dx.doi.org/10.1016/0034-4257(91)90009-U.
  • Campbell J.B., Wynne H.R. (2011)—Introduction to Remote Sensing. The Guilford Press, 5th edition, ISBN-13: 978–1609181765.
  • Chrysoulakis N., Abrams M., Feidas H., Arai K. (2010)—Comparison of atmospheric correction methods using ASTER data for the area of Crete: The ATMOSAT Project. International Journal of Remote Sensing, 31: 6347–6385. doi: http://dx.doi.org/10.1080/01431160903413697.
  • Dermeche S., Nadour M., Larroche C., Moulti-Mati F., Michaud P. (2013)—Olive mill wastes: Biochemical characterizations and valorization strategies. Process Biochemistry, 48 (10): 1532–1552. doi: http://dx.doi.org/10.1016/j.procbio.2013.07.010.
  • Gitelson A. A., Kaufman Y. J., Merzlyak M. N. (1996)—Use of a green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sensing of Environment, 58: 289–298. doi: http://dx.doi.org/10.1016/S0034-4257(96)00072-7.
  • Hadjimitsis D. G., Clayton C. R. I., Hope V. S. (2004)—An assessment of the effectiveness of atmospheric correction algorithms through the remote sensing of some reservoirs. International Journal of Remote Sensing, 25: 3651–3674. doi: http://dx.doi.org/10.1080/01431160310001647993.
  • Hancock D. W., Dougherty C. T. (2007)—Relationships between blue-and red-based vegetation indices and leaf area and yield of alfalfa. Crop Science, 47 (6): 2547–2556. doi: http://dx.doi.org/10.2135/cropsci2007.01.0031.
  • Hanifi S., El Hadrami I. (2009)—Olive mill wastewaters: Diversity of the fatal product in olive oil industry and its valorisation as agronomical amendment of poor soils. A review. Journal of Agronomy, 8: 1–13. doi: http://dx.doi.org/10.3923/ja.2009.1.13.
  • Jordan C.F. (1969)—Derivation of leaf area index from quality of light on the forest floor. Ecology, 50: 663–666. doi: http://dx.doi.org/10.2307/1936256.
  • Kavvadias V., Doula M., Theocharopoulos S. (2014)—Long-Term Effects on Soil of the Disposal of Olive Mill Waste Waters (OMW). Environmental Forensics, 15 (1): 37–51. doi: http://dx.doi.org/10.1080/15275922.2013.872713.
  • Kaufman Y. J., Tanré D. (1992)—Atmospherically resistant vegetation index (ARVI) for EOS-MODIS. IEEE Transaction on Geoscience and Remote Sensing, 30: 261–270. doi: http://dx.doi.org/10.1109/36.134076.
  • Komnitsas K., Zaharaki D., Doula M., Kavvadias V. (2011)—Origin of recalcitrant heavy metals present in olive mill wastewater evaporation ponds and nearby agricultural Soils. Environmental Forensics, 12: 319–326. doi: http://dx.doi.org/10.1080/15275922.2011.622349.
  • Niaounakis M., Halvadakis C. P. (2006)—Olive processing waste management. Literature review and patent survey. Waste Management Series, 5, Elsevier Ltd.
  • Pearson R. L., Miller L. D. (1972)—Remote Mapping of Standing Crop Biomass and Estimation of the Productivity of the Short Grass Prairie, Pawnee National Grasslands, Colorado. In: Proceedings of the 8th International Symposium on Remote Sensing of the Environment, Ann Arbor, MI, USA, 2–6 October 1972, pp. 1357–1381.
  • Qi J., Chehbouni A., Huete A. R., Kerr Y. H., Sorooshian S.A. (1994)—Modified soil adjusted vegetation index. Remote Sensing of Environment, 48: 119–126. doi: http://dx.doi.org/10.1016/0034-4257(94)90134-1.
  • Richardson A. J., Wiegand C. L. (1977)—Distinguishing vegetation from soil background information. Photogrammetric Engineering & Remote Sensing, 43: 15–41.
  • Roig A., Cayuela M. L., Sánchez-monedero M. A. (2006)—An overview on olive mill wastes and their valorisation methods. Waste Management, 26 (9): 960–969. doi: http://dx.doi.org/10.1016/j.wasman.2005.07.024.
  • Rouse J. W., Haas R. H., Schell J. A., Deering D. W., Harlan J.C. (1974)—Monitoring the Vernal Advancements and Retrogradation (Greenwave Effect) of Nature Vegetation. NASA/GSFC Final Report; NASA: Greenbelt, MD, USA, 1974.
  • Song J., Duanjun L., Wesely M. L. (2003)—A simplified Atmospheric Correction Procedure for the Normalized Difference Vegetation Index. Photogrammetric Engineering & Remote Sensing, 69: 521–528. doi: http://dx.doi.org/10.14358/PERS.69.5.521.
  • Tucker C. J. (1979)—Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8: 127–150. doi: http://dx.doi.org/10.1016/0034-4257(79)90013-0.
  • Wang F.-M., Huang J.-F., Tang Y.-L., Wang X.-Z. (2007)—New Vegetation Index and Its Application in Estimating Leaf Area Index of Rice. Rice Science, 14 (3): 195–203. doi: http://dx.doi.org/10.1016/S1672-6308(07)60027-4.
  • Yang C., Everitt J. H., Bradford J. M. (2004)—Airborne Hyperspectral Imagery and Yield Monitor Data for Mapping Cotton Yield Variability. Precision Agriculture, 5 (5): 445–461. doi: http://dx.doi.org/10.1007/s11119-004-5319-8.