7,473
Views
13
CrossRef citations to date
0
Altmetric
Original Article

Evaluation of Five Methods to Measure Normalized Difference Vegetation Index (NDVI) in Apple and Citrus

&

References

  • Aguilar, C., J.C. Zinnert, M.J. Polo, and D.R. Young. 2012. NDVI as an indicator for changes in water availability to woody vegetation. Ecol. Indic. 23:290–300. doi: 10.1016/j.ecolind.2012.04.008.
  • Anyamba, A., and C.J. Tucker. 2005. Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981–2003. J. Arid Environ. 633:596–614. doi: 10.1016/j.jaridenv.2005.03.007.
  • Asrar, G., M. Fuchs, E.T. Kanemasu, and J.L. Hatfield. 1984. Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agron. J. 76:300–306. doi: 10.2134/agronj1984.00021962007600020029x.
  • Baluja, J., M.P. Diago, P. Balda, R. Zorer, and F. Meggio. 2012. Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV). Irrigation Sci. 30:511–522. doi: 10.1007/s00271-012-0382-9.
  • Barbosa, C.C.D.A., S.M. Atkinson, and J.A. Dearing. 2015. Remote sensing of ecosystem services: A systematic review. Ecol. Indic. 52:430–443. doi: 10.1016/j.ecolind.2015.01.007.
  • Berns, R.S. 2000. Billmeyer and Saltzman’s principles of color technology. 3rd ed. Wiley and Sons, New York. doi: 10.1002/col.1037.
  • Carlson, T.N., and D.A. Ripley. 1997. On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sens. Environ. 62:241–252. doi: 10.1016/S0034-4257(97)00104-1.
  • Carter, G.A. 1993. Responses of leaf spectral reflectance to plant stress. Am. J. Bot. 80:239–243. <http://www.jstor.org/stable/2445346>.
  • Carter, G.A., and A.K. Knapp. 2001. Leaf optical properties in higher plants: Linking spectral characteristics to stress and chlorophyll concentration. Am. J. Bot. 88:677–684.
  • Daughtry, C.S.T., C.L. Walthall, M.S. Kim, E.B. De Colstoun, and J.E. McMurtrey. 2000. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sens. Environ. 74:229–239. doi: 10.1016/S0034-4257(00)00113-9.
  • Elsayed, S., B. Mistele, and U. Schmidhalter. 2011. Can changes in leaf water potential be assessed spectrally? Funct. Plant Bio. 38:523–533. doi: 10.1071/FP11021.
  • Gago, J., C. Douthe, R.E. Coopman, P.P. Gallego, M. Ribas-Carbo, J. Flexas, J. Escalona, and H. Medrano. 2015. UAVs challenge to assess water stress for sustainable agriculture. Agric. Water Manag. 153:9–19. doi: 10.1016/j.agwat.2015.01.020.
  • Gamon, J.A., C.B. Gield, M.L. Goulden, and K.L. Griffin. 1995. Relationship between NDVI, canopy structure and photosynthesis in three Californian vegetation types. Ecological Appl. 5:28–41. doi: 10.2307/1942049.
  • Gamon, J.A., L. Serrano, and J. Surfus. 1998. The photochemical reflectance index: An opticalindicator of photosynthetic radiation-use efficiency across species, functional types, and nutrient levels. Oecologia. 112:492–501. doi: 10.1007/s004420050337.
  • Gitelson, A.A., and M.N. Merzlyak. 1998. Remote sensing of chlorophyll concentration in higher plant leaves. Adv. Space Res. 22:689–692. doi: 10.1016/S0273-1177(97)01133-2.
  • Glenn, D.M. 1995. Irrigation scheduling. p.161-168. In: H. Hogmire (ed). Mid-Atlantic orchard monitoring guide. Northeast Regional Agricultural Engineering Service. Ithaca, NY.
  • Glenn, D.M. 1999. Analysis of trickle and pulse microsprinkler irrigation of processing apples. Journal Of Tree Fruit Production. 2:11-17. doi:10.1300/J072v02n02_02.
  • Johnson, L.F. 2003. Temporal stability of an NDVI‐LAI relationship in a napa valley vineyard. Aust. J. Grape Wine Res. 9:96–101. doi: 10.1111/j.1755-0238.2003.tb00258.x.
  • Kim, J.Y., and D.M. Glenn. 2015. Measurement of photosynthetic response to plant water stress using a multi-modal sensing system. Trans. Am. Society Agric. Biol. Engineers 58:233–240. doi: 10.13031/trans.58.10873.
  • Kim, Y., D.M. Glenn, J. Park, H.K. Ngugi, and B. Lehman. 2011. Hyperspectral image analysis for water stress detection of apple trees. Comput. Electron Agric. 77:155–160. doi: 10.1016/j.compag.2011.04.008.
  • Kriegler, F.J., W.A. Malila, R.F. Nalepka, and W. Richardson. 1969. Preprocessing transformations and their effects on multispectral recognition. Proceedings of the Sixth International Symposium on Remote Sensing of Environment. Ann Arbor, Michigan, USA: Remote Sensing of Environment 1, 97–131.
  • Moriondo, M., F. Maselli, and M. Bindi. 2007. A simple model of regional wheat yield based on NDVI data. Eur. J. Agron. 26:266–274. doi: 10.1016/j.eja.2006.10.007.
  • Peñuelas, J., and I. Filella. 1998. Visible and near-infrared reflectance techniques for diagnosing plant physiological status. Trends Plant Sci. 3:151–156. doi: 10.1016/S1360-1385(98)01213-8.
  • Peñuelas, J., I. Filella, and J.A. Gamon. 1995. Assessment of photosynthetic radiation-use efficiency with spectral reflectance. New Phytol. 131:291–296. doi: 10.1111/j.1469-8137.1995.tb03064.x.
  • Peñuelas, J., J. Pinol, R. Ogaya, and I. Filella. 1997. Estimation of plant water concentration by the reflectance water index WI (R900/R970). Int. J. Remote Sens. 18:2869–2875. doi: 10.1080/014311697217396.
  • Ren, J., Z. Chen, Q. Zhou, and H. Tang. 2008. Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China. Int. J. Appl. Earth Obs. Geoinf. 10:403–413. doi: 10.1016/j.jag.2007.11.003.
  • Rouse, J.W., R.H. Haas, J.A. Scheel, and D.W. Deering. 1974. Monitoring vegetation systems in the Great Plains with ERTS. Proceedings, 3rd Earth Resource Technology Satellite (ERTS) Symposium 1, 48–62. <http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19740022592.pdf>.
  • Tucker, C.J., J.E. Pinzon, M.E. Brown, D.A. Slayback, E.W. Pak, R. Mahoney, and N. El Saleous. 2005. An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data. Int. J. Remote Sens. 26:4485–4498. doi: 10.1080/01431160500168686.
  • Usha, K., and B. Singh. 2013. Potential applications of remote sensing in horticulture-A review. Sci. Hortic. 153:71–83. doi: 10.1016/j.scienta.2013.01.008.
  • Van Der Merwe, D., and K.P. Price. 2015. Harmful algal bloom characterization at ultra-high spatial and temporal resolution using small unmanned aircraft systems. Toxins. 7:1065–1078. doi: 10.3390/toxins7041065.
  • World Wide Web Consortium. 2016. Specification of sRGB. 3 Mar. 2016. <https://www.w3.org/Graphics/Color/srgb>.
  • Yoder, B.J., and R.H. Waring. 1994. The normalized difference vegetation index of small Douglas-fir canopies with varying chlorophyll concentrations. Remote Sens. Environ. 49:81–91. doi: 10.1016/0034-4257(94)90061-2.
  • Zhou, L., C.J. Tucker, R.K. Kaufmann, D. Slayback, N.V. Shabanov, and R.B. Myneni. 2001. Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999. J. Geophys. Res. Atmos. (1984–2012) 106(D17):20069–20083. doi: 10.1029/2000JD000115.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.