Peer-Reviewed

Peer-Reviewed Journal and Conference Papers

1. Costa-Filho, E., Chávez, J. L., Andales, A. A., & Brown, A. J. (2024). Improving WISE Crop Evapotranspiration Estimates Using Crop Coefficients Derived from Remote-Sensing Algorithms. Journal of Irrigation and Drainage Engineering, 150(5), 04024022.

2. Costa-Filho, E., Chávez, J. L., & Zhang, H. (2024c). Mapping Maize Evapotranspiration with Two-Source Land Surface Energy Balance Approaches and Multiscale Remote Sensing Imagery Pixel Sizes: Accuracy Determination towards a Sustainable Irrigated Agriculture. Sustainability.

3. Costa-Filho, E., Chávez, J. L., & Zhang, H. (2024b). A Novel Remote Sensing-Based Modeling Approach for Maize Light Extinction Coefficient Determination. Remote Sensing, 16(6), 1012.

4. Costa‐Filho, E., Chávez, J. L., & Zhang, H. (2024a). Assessing multi‐sensor hourly maize evapotranspiration estimation using a one‐source surface energy balance approach. Irrigation and Drainage.

5. Costa-Filho, E., Chávez, J. L., & Zhang, H. (2023). A multi-sensor analysis of selected reflectance-based crop coefficient models for daily maize evapotranspiration estimation. Journal of Agricultural Science (CCSE publisher), 15, 1–25. https://ccsenet.org/journal/index.php/jas/article/view/0/49466

6. Chávez, J. L., Zhang, H., Brown, A. J., Andales, A., & Costa-Filho, E. (2023). Maize Evapotranspiration Estimates Using Planet Dove Mini-Satellites and Field-Level InfraRed Thermometers. Applied Engineering in Agriculture.

7. Costa-Filho, E., Chávez, J. L., Andales, A., & Brown, A. (2023a). Evaluating reflectance-based maize evapotranspiration estimation under different irrigation systems. 2023 USCID Annual Conference, Fort Collins, CO., 1–16. https://www.uscid.org/_files/ugd/43071b_7fcd1b9715cc4bb985c4ac0c433aa6c4.pdf

8. Sánchez, J. M., Chávez, J. L., Costa-Filho, E., González-Piqueras, J., Montoya, F., & López-Urrea, R. (2023). Monitoring the water status of almond orchards in a water-scarce area in southeast spain. 2023 USCID Annual Conference, Fort Collins, CO., 16–25. https://www.uscid.org/_files/ugd/43071b_7fcd1b9715cc4bb985c4ac0c433aa6c4.pdf

9. Costa-Filho, E., Chávez, J. L., Andales, A. A., & Brown, A. J. (2022). Updating corn crop coefficients with remote sensing-based actual evapotranspiration algorithms. World Environmental and Water Resources Congress 2022, 618–633.  https ://doi.org/10 .1061/9780784484258.058.

10. Costa-Filho, E., Chávez, J. L., Zhang, H., & Andales, A. A. (2021). An optimized surface aerodynamic temperature approach to estimate maize sensible heat flux and evapotranspiration. Agricultural and Forest Meteorology, 311, 108683.  https://doi.org/https://doi.org/10.1016/j.agrformet.2021.108683.

11. Costa-Filho, E., Chávez, J. L., & Comas, L. (2020). Determining maize water stress through a remote sensing-based surface energy balance approach. Irrigation Science, 38 (5), 501–518.

12. Costa-Filho, E., & Silva, S. R. (2016). Water consume evaluation in construction sites at the Recife metropolitan area. Revista de Engenharia e Pesquisa Aplicada, 2, 359–364. https://doi.org/10.25286/repa.v2i1.

13. Costa-Filho, E., Silva, S. R., & Brito, I. G. G. (2013). Water consumption in construction site from the metropolitan region of Recife. Latin American Sustainable Buildings and Communities Meeting.  http://dx.doi.org/10.12702/978-85-89478-40-3-a037.