Reliability of ndvi derived by high resolution satellite and uav compared to in-field methods for the evaluation of early crop n status and grain yield in Wheat

Experimental Agriculture

Volumn 54, Issue 4, 2018, Pages 604-622

  Benincasa, Paolo ^a   Antognelli, Sara ^a   Brunetti, Luca ^a   Fabbri, Carlo Alberto ^b   Natale, Antonio ^b   Sartoretti, Velia ^b   Modeo, Gianluca ^b   Guiducci, Marcello ^a   Tei, Francesco ^a   Vizzari, Marco ^a  

^a UNIVERSITY OF PERUGIA   (Italy)

^b GIS and Web Engineering   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85020234110     PISSN: 00144797     EISSN: 14694441     Source Type: Journal    
DOI: 10.1017/S0014479717000278     Document Type: Article

References (38)

1. Basso, B., Ritchie, J. T., Pierce, F. J., Braga, R. P. and Jones, J. W. (2001). Spatial validation of crop models for precision agriculture. Agricultural Systems 68:97-112
2. Benincasa, P., Farneselli,M., Tosti, G., Bonciarelli, U., Lorenzetti,M. C. and Guiducci,M. (2016). Eleven-year results on soft and durum wheat crops grown in an organic and in a conventional low input cropping system. Italian Journal of Agronomy 11:77-84
3. Bonciarelli, U., Onofri, A., Benincasa, P., Farneselli, M., Guiducci, M., Pannacci, E., Tosti, G. and Tei, F. (2016). Long-term evaluation of productivity, stability and sustainability for cropping systems in Mediterranean rainfed conditions. European Journal of Agronomy 77:146-155
4. Bongiovanni, R. and Lowenberg-Deboer, J. (2004). Precision agriculture and sustainability. Precision Agriculture 5:359-387
5. Bora, G. C., Nowatzki, J. F. and Roberts, D. C. (2012). Energy savings by adopting precision agriculture in rural USA. Energy, Sustainability and Society 2:1225
6. Bouvet, M. (2014). Radiometric comparison of multispectral imagers over a pseudo-invariant calibration site using a reference radiometric model. Remote Sensing of Environment 140:141-154
7. Campbell, J. B. and Wayne, R. H. (2011). Introduction to Remote Sensing (5th ed). New York: The Guildford Press
8. Candiago, S., Remondino, F., De Giglio, M., Dubbini, M. and Gattelli, M. (2015). Evaluating multispectral images and vegetation indices for precision farming applications from UAV images. Remote Sensing. 7:4026-4047
9. Cao, Q., Miao, Y., Feng, G., Gao, X., Li, F., Liu, B., Yue, S., Cheng, S., Ustin, S. L. and Khosla, R. (2015). Active canopy sensing of winter wheat nitrogen status: An evaluation of two sensor systems. Computers and Electronics in Agriculture 112:54-67
10. Carlson, T. and Ripley, D. A. (1997). On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sensing of Environment 62:241-252
11. Casa, R. and Castrignanò, A. (2008). Analysis of spatial relationships between soil and crop variables in a durum wheat field using a multivariate geostatistical approach. European Journal of Agronomy 28:331-342
12. Casa, A. C. and Ovando, G. G. (2013). Estimation of Wheat Area in Córdoba, Argentina, with Multitemporal NDVI Data of SPOT-Vegetation. International Journal of Geosciences 4:1355-1364
13. Eitel, J. U. H., Vierling, L. A., Long, D. S. and Hunt, E. R. (2011). Early season remote sensing of wheat nitrogen status using a green scanning laser. Agricultural and Forest Meteorology 151:1338-1345
14. Hadjimitsis, D. G., Clayton, C. R. I. and Retalis, A. (2009). The use of selected pseudo-invariant targets for the application of atmospheric correction inmulti-temporal studies using satellite remotely sensed imagery. International Journal of Applied Earth Observation and Geoinformation 11:192-200
15. Hansen, P. M. and Schjoerring, J. K. (2003). Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression. Remote Sensing of Environment 86:542-553
16. Hoel, B. O. and Solhaug, K. A. (1998). Effect of irradiance on chlorophyll estimation with the Minolta SPAD-502 leaf cholorophyll meter. Annals of Botany 82:389-392
17. Honkavaara, E., Hakala, T., Markelin, L. and Peltoniemi, J. (2014). Metrology of image processing in spectral reflectance measurement by UAV. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 40:53-58
18. Huete, A. R., Liu, H. Q., Batchily, K. and van Leeuwen,W. (1997). A comparsion of vegetation indices over a Global set of TM images for EO-MODIS. Remote Sensing of Environment 59:440-451
19. Jia, L., Yu, Z., Li, F., Gnyp, M., Koppe, W., Bareth, G., Miao, Y., Chen, X. and Zhang, F. (2012). Nitrogen Status Estimation of Winter Wheat by Using an IKONOS Satellite Image in the North China Plain. Computer and Computing Technologies in Agriculture 369:174-184
20. Lelong, C. C. D., Burger, P., Jubelin, G., Roux, B., Labbe, S. and Baret, F. (2008). Assessment of unmanned aerial vehicles imagery for quantitative monitoring of wheat crop in small plots. Sensors 8:3557-3585
21. Maresma, A., Ariza,M., Martínez, E., Lloveras, J. and Martínez-Casasnovas, J. (2016). Analysis of Vegetation Indices to Determine Nitrogen Application and Yield Prediction in Maize (Zea mays L) from a Standard UAV Service. Remote Sensing 8:973
22. Monsi, M. and Saeki, T. (1953). The light factor in plant communities and its significance for dry matter production. Japanese Journal of Botany 14:22-52
23. Munoz-Huerta, R. F., Guevara-Gonzalez, R. G., Contreras-Medina, L. M., Torres-Pacheco, I., Prado-Olivarez, J. and Ocampo-Velazquez, R. V. (2013). A review of methods for sensing the nitrogen status in plants: Advantages, disadvantages and recent advances. Sensors 13:10823-10843
24. Perry, E., Morse-Mcnabb, E., Nuttall, J., O'Leary, G. and Clark, R. (2013). Managing wheat from space: Linking MODIS NDVI and crop models for Australian dryland wheat. International Geoscience and Remote Sensing Symposium 7:3243-3245
25. QGIS Development Team (2014). No Title. QGIS Geographic Information System. Open Source Geospatial Foundation Project. Available at: http://qgis.osgeo.org
26. Quebrajo, L., Perez-Ruiz, M., Rodriguez-Lizana, A. and Agüera, J. (2015). An Approach to Precise Nitrogen Management Using Hand-Held Crop Sensor Measurements and Winter Wheat Yield Mapping in a Mediterranean Environment. Sensors 15:5504-5517
27. Raun, W. R., Solie, J. B., Johnson G, V., Stone, M. L., Lukina, E. V., Thomason, W. E. and Schepers, J. S. (2001). In-season prediction of potential grain yield in winter wheat using canopy reflectance. Agronomy Journal 93:131
28. Ren, J., Chen, Z., Zhou, Q. and Tang, H. (2008). Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China. International Journal of Applied Earth Observation and Geoinformation 10:403-410
29. Saberioon, M. M., Amin, M. S. M., Anuar, A. R., Gholizadeh, A., Wayayok, A. and Khairunniza-Bejo, S. (2014). Assessment of rice leaf chlorophyll content using visible bands at different growth stages at both the leaf and canopy scale. International Journal of Applied Earth Observation and Geoinformation 32:35-45
30. Sultana, S. R., Ali, A., Ahmad, A., Mubeen, M., Ahmad, S., Ercisli, S. and Jaafar, H. Z. E. (2014). Normalized Difference vegetation index as a tool for wheat yield estimation : A case study from Faisalabad, Pakistan. The Scientific World Journal 2014, ID 725326, 8 p
31. Tei, F., Benincasa, P. and Guiducci, M. (2003). Critical nitrogen concentration in lettuce. Acta Horticulturae 627:227-232
32. Thenkabail, P. S., Smith, R. B. and De Pauw, E. (2000). Hyperspectral vegetation indices and their relationships with agricultural crop characteristics. Remote Sensing of Environment 71:158-182
33. Tilling, A. K., O'Leary, G. J., Ferwerda, J. G., Jones, S. D., Fitzgerald, G. J., Rodriguez, D. and Belford, R. (2007). Remote sensing of nitrogen and water stress in wheat. Field Crops Research 104:77-85
34. Torres-Sanchez, J., Pena, J. M., Castro, A. I. and López-Granados, F. (2014). Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV. Computers and Electronics in Agriculture 103:104-113
35. Ulissi, V., Antonucci, F., Benincasa, P., Farneselli, M., Tosti, G., Guiducci, M., Tei, F., Costa, C., Pallottino, F. and Menesatti, P. (2011). Nitrogen content estimation on tomato leaves by VIS-NIR non-destructive spectral reflectance system. Sensors 11:6411-6424
36. Vermote, E. F., Tanre, D., Deuze, J. L., Herman, M. and Morcrette, J. J. (1997). Second simulation of the satellite signal in the solar spectrum, 6S: An overview. IEEE Transactions on Geoscience and Remote Sensing 35:675-686
37. Wu, B., Gommes, R., Zhang, M., Zeng, H., Yan, N., Zou, W., Zheng, Y., Zhang, N., Chang, S., Xing, Q. and van Heijden, A. (2015). Global Crop Monitoring: A Satellite-Based Hierarchical Approach. Remote Sensing 7: 3907-3933
38. Zhang, W., Tang, L., Yang, X., Liu, L., Cao, W. and Zhu, Y. (2015). A simulation model for predicting canopy structure and light distribution in wheat. European Journal of Agronomy 67:1-11