Estimation of olive evapotranspiration using multispectral and thermal sensors placed aboard an unmanned aerial vehicle

Acta Horticulturae

Volumn 1150, Issue , 2017, Pages 1-8

  Ortega Farias S ^a   Ortega Salazar, S ^a   Poblete, T ^a   Poblete Echeverria C ^a   Zuniga M ^a   Sepulveda Reyes D ^a   Kilic, A ^b   Allen, R ^c  

^a UNIVERSIDAD DE TALCA   (Chile)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^c UNIVERSITY OF IDAHO   (United States)

Author keywords

Energy balance; Evapotranspiration; Latent heat flux; Olive orchard

Indexed keywords

EID: 85013214714     PISSN: 05677572     EISSN: None     Source Type: Book Series    
DOI: 10.17660/ActaHortic.2017.1150.1     Document Type: Article

References (23)

1. Allen, R.G., Tasumi, M., Morse, A., Trezza, R., Wright, J.L., Bastiaanssen, W., Kramber, W., Lorite, I., and Robison, C.W. (2007). Satellite-based energy balance for mapping evapotranspiration with internalized calibration (metric) applications. J. Irrig. Drain. Eng. 133 (4), 395-406 http://dx.doi.org/10.1061/(ASCE)0733-9437(2007)133:4(395).
2. Allen, R., Irmak, A., Trezza, R., Hendrickx, J.M.H., Bastiaanssen, W., and Kjaersgaard, J. (2011). Satellite-based ET estimation in agriculture using SEBAL and METRIC. Hydrol. Processes 25 (26), 4011-4027 http://dx.doi.org/10.1002/hyp.8408.
3. ASCE-EWRI. (2005). The ASCE Standarized Reference Evapotranspiration Equation. Report of the ASCE-EWRI Task Committee on Standardization of Reference Evapotranspiration.
4. Bastiaanssen, W.G.M., Menenti, M., Feddes, R.A., and Holtslag, A.A.M. (1998). A remote sensing surface energy balance algorithm for land (SEBAL) - 1. Formulation. J. Hydrol. (Amst.) 212-213 (1-4), 198-212 http://dx.doi.org/10.1016/S0022-1694(98)00253-4.
5. Berni, J.A.J., Zarco-Tejada, P.J., Suarez, L., and Fereres, E. (2009a). Thermal and narrow-band multispectral remote rensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Trans. Geosci. Rem. Sens. 47 (3), 722- 738 http://dx.doi.org/10.1109/TGRS.2008.2010457.
6. Berni, J.A.J., Zarco-Tejada, P.J., Sepulcre-Cantó, G., Fereres, E., and Villalobos, F. (2009b). Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery. Remote Sens. Environ. 113 (11), 2380-2388 http://dx.doi.org/10.1016/j.rse.2009.06.018.
7. Carrasco-Benavides, M., Ortega-Farías, S., Lagos, L.O., Kleissl, J., Morales, L., Poblete-Echeverría, C., and Allen, R.G. (2012). Crop coefficients and actual evapotranspiration for a drip-irrigated Merlot vineyard using multispectral satellite images. Irrig. Sci. 30 (6), 485-553 http://dx.doi.org/10.1007/s00271-012-0379-4.
8. Carrasco-Benavides, M., Ortega-Farías, S., Lagos, L.O., Kleissl, J., Morales-Salinas, L., and Kilic, A. (2014). Parameterization of the satellite-based model (METRIC) for the estimation of instantaneous surface energy balance components over a drip-irrigated vineyard. Remote Sens. 6 (11), 11342-11371 http://dx.doi.org/10.3390/rs61111342.
9. Fereres, E., and Soriano, M.A. (2006). Deficit irrigation for reducing agricultural water use. J. Exp. Bot. 58 (2), 147-159 http://dx.doi.org/10.1093/jxb/erl165.PubMed.
10. Gowda, P.H., Chávez, J.L., Colaizzi, P.D., Evett, S.R., Howell, T.A., and Tolk, J.A. (2008). ET mapping for agricultural water management: present status and challenges. Irrig. Sci. 26 (3), 223-237 http://dx.doi.org/10.1007/s00271-007-0088-6.
11. Kustas, W.P., Choudhury, B.J., Moran, M.S., Reginato, R.J., Jackson, R.D., Gay, L.W., and Weaver, H.L. (1989). Determination of sensible heat flux over sparse canopy using thermal infrared data. Agric. For. Meteorol. 44 (3-4), 197-216 http://dx.doi.org/10.1016/0168-1923(89)90017-8.
12. Ortega-Farías, S., and López-Olivari, R. (2012). Validation of a two-layer model to estimate latent heat flux and evapotranspiration over a drip-irrigated olive orchard. Trans. ASABE 55 (4), 1169-1178 http://dx.doi.org/10.13031/2013.42237.
13. Ortega-Farias, S., Poblete-Echeverría, C., and Brisson, N. (2010). Parameterization of a two-layer model for estimating vineyard evapotranspiration using meteorological measurements. Agric. For. Meteorol. 150 (2), 276- 286 http://dx.doi.org/10.1016/j.agrformet.2009.11.012.
14. Sánchez, J.M., Kustas, W.P., Caselles, V., and Anderson, M.C. (2008). Modelling surface energy fluxes over maize using a two-source patch model and radiometric soil and canopy temperature observations. Remote Sens. Environ. 112 (3), 1130-1143 http://dx.doi.org/10.1016/j.rse.2007.07.018.
15. Sánchez, J.M., López-Urrea, R., Rubio, E., González-Piqueras, J., and Caselles, V. (2014). Assessing crop coefficients of sunflower and canola using two-source energy balance and thermal radiometry. Agric. Water Manage. 137, 23- 29 http://dx.doi.org/10.1016/j.agwat.2014.02.002.
16. Schotanus, P., Nieuwstadt, F.T.M., and de Bruin, H.A.R. (1983). Temperature measurement with a sonic anemometer and its application to heat and moisture fluxes. Boundary-Layer Meteorol. 26 (1), 81-93 http://dx.doi.org/10.1007/BF00164332.
17. Shuttleworth, W.J., and Wallace, J.S. (1985). Evaporation from sparse crops-An energy combination theory. Quart J.R. Met Soc 111 (469), 839-855 http://dx.doi.org/10.1002/qj.49711146910.
18. Singh, R.K., and Irmak, A. (2009). Estimation of crop coefficients using satellite remote sensing. J. Irrig. Drain. Eng. 135 (5), 597-608 http://dx.doi.org/10.1061/(ASCE)IR.1943-4774.0000052.
19. Tasumi, M., Allen, R.G., Trezza, R., and Wright, J.L. (2005). Satellite-based energy balance to assess withinpopulation variance of crop coefficient curves. J. Irrig. Drain. Eng. 131 (1), 94-109 http://dx.doi.org/10.1061/(ASCE)0733-9437(2005)131:1(94).
20. Villalobos, F.J., Orgaz, F., Testi, L., and Fereres, E. (2000). Measurements and modeling of evapotranspiration of olive (Olea europaea L.) orchards. Eur. J. Agron. 13 (2-3), 155-163 http://dx.doi.org/10.1016/S1161-0301(00)00071-X.
21. Webb, E.K., Pearman, G.I., and Leuning, R. (1980). Correction of flux measurements for density effects due to heat and water vapour transfer. Q. J. R. Meteorol. Soc. 106 (447), 85-100 http://dx.doi.org/10.1002/qj.49710644707.
22. Wilczak, J.M., Oncley, S.P., and Stage, S.A. (2001). Sonic anemometer tilt correction algorithms. Boundary-Layer Meteorol. 99 (1), 127-150 http://dx.doi.org/10.1023/A:1018966204465.
23. Zarco-Tejada, P.J., Gonzalez-Dugo, V., and Berni, J.A.J. (2012). Fluorescence, temperature and narrowband indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera. Remote Sens. Environ. 117, 322-337 http://dx.doi.org/10.1016/j.rse.2011.10.007.