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3.     Dercas, N., Spyropoulos N.V., Dalezios N.R., Psomiadis E., Stefopoulou A., Madonanakis G. and Tserlikakis N., 2017. Comparing cotton crop evapotranspiration using diachronic very high spatial resolution satellite data and ground measurements. WIT Transactions on Ecology and the Environment, Volume 220, Water Resources Management 2017, WIT press, 101-107.

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5.       Psomiadis E., Dercas N., Dalezios N.R. and Spyropoulos N.V., 2017. Evaluation and cross-comparison of vegetation indices for crop monitoring from Sentinel-2 and Worldview-2 images.  Proc. of SPIE 10421, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX, 104211B, Nov.2017, Warsaw, Poland, doi.org/10.1117/12.2278217

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7.       Fučík, P. Lukas, V. (2015): A new research project on precision farming combines optimized fertilization for stable crop yields with protection of water quality. Agricultural School 78 (7), p.

8.       Campos, I; Neale, C.; Suyker, A.; Arkebauer, T.; Gonçalves, I.. 2017. Reflectance-based crop coefficients redux: for operational evapotranspiration estimates in the age of high producing hybrid varieties. Agricultural Water Management. 187, pp. 140-153. https://doi.org/10.1016/j.agwat.2017.03.022 (GREEN)

9.       Campos, I.;Neale, C.; Suyker, A.; Arkebauer, T.; Gonçalves, I.. 2018. Water productivity and crop yield: a simplified remote sensing driven operational approach. Agricultural Forest Meteorology.249, pp. 501-511. https://doi.org/10.1016/j.agrformet.2017.07.018 (GREEN)

10.   Campos, I.; González-Gómez, L.; Villodre, J.; Gonzalez-Piqueras, J.; Suyker, A.; Calera, A.. 2018. Remote sensing-based crop biomass production at satellite scale in wheat commercial fields. Field Crop Research. 216, pp. 175 – 188. https://doi.org/10.1016/j.fcr.2017.11.025 (GREEN)

11.   González-Gómez, L.; Campos, I.; Calera, A. 2018. The Use of Different Temporal Scales to Monitor Phenology and its Relationship with temporal evolution of NDVI in Wheat. Journal of Applied Remote Sensing. 12(2) – 026010. https://doi.org/10.1117/1.JRS.12.026010 (GREEN)

12.   Odi, M.; Campos, I.; Neale, C.; Ortega-Farias, S.; Poblete-Echeverría, C.; Balbontín, C.; Calera, A.. 2016. Estimating Evapotranspiration of an Apple Orchard Using a Remote Sensing-Based Soil Water Balance. Remote Sensing. 8 – 253, pp. 1 – 20. https://doi.org/10.3390/rs8030253 (GOLD)

13.   Munster, R.C. (2016): Profitability of Precision Farming – Variable Rate Application of Nitrogen in European Winter Wheat Production. Master thesis to obtain the degree of a Master in Environment and Resource Management, Institute for Environmental Studies, VU University Amsterdam, 30.6.2016.

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15.   Psomiadis E., Dercas N., Dalezios N. and Spyropoulos N., 2016. The role of spatial and spectral resolution on the effectiveness of satellite-based vegetation indices. SPIE Remote Sensing International Congress, Conference of Remote Sensing for Agriculture, Ecosystems, and Hydrology (RS101), Edinburgh, 26-29 September, ACCEPTED, paper number: 9998-66.

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