Abstract
The need for reliable evapotranspiration (ET) estimates has prompted the introduction of new methodologies. This study aimed at studying the ET of a processing cassava field (13°6′39" S, 39°16′46" W, 154 m asl) in a tropical climate in Bahia, Brazil, under rainfed conditions from April to August 2019 by means of micrometeorological and remote sensing methods. The combination of surface renewal analysis and energy balance (SREB) demonstrated its potential to accurately determine the crop ET once calibrated against eddy covariance measurements of H. Remote sensing techniques were also applied with the METRIC and SAFER algorithms. Due to frequent cloud cover in the area, only three Landsat images from overpasses in May and June could be used. High agreement in terms of crop ET was found between the surface and the remote sensing methods. For the three images processed, METRIC and SAFER were 8.6% and 26.4% higher than SREB, on average. Among the proposed regression models (M1, M2, and M3) for estimation of processing cassava ET, M3 showed a better adjustment with the highest coefficient of determination (r2 = 0.952) and lowest error (RMSE = 0.205 mm day−1). In the M3 model, ET/Rn was expressed as a function of the NDVI/LAI ratio. These three biophysical parameters, Rn, NDVI, and LAI, can routinely be determined from image processing for field applications in water management at the studied region. Therefore, with a limited set of variables, this approach can be satisfactorily applied using data collection methodologies that provide enhanced temporal and spatial resolution.
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Data availability
The datasets generated during and/or analysed during the current study are not publicly available due to as they are source of the University Federal oh the Reconcavo of Bahia but are available from the corresponding author on reasonable request..
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Acknowledgements
This research was conducted with the invaluable support of the Coordination for the Improvement of Higher Education Personnel (CAPES), the Foundation for Research and Support of Bahia (FAPESB) with protocol BOL0321/2017, and Embrapa Cassava and Tropical Fruits (EMBRAPA). Financial backing was provided by CNPq through grant/research 311318/2022-3, coordinated by MACF, as well as FAPED (Research Project: FAPED/CNPTIA/BCB_ZARC/CNPMF-23800.22/0109-7), also under the coordination of MACF. We extend our sincere gratitude to these institutions for their vital contributions to the successful completion of this work.
Funding
This work was supported by Coordination for the Improvement of Higher Education Personnel (CAPES), the Foundation for Research and Support of Bahia (FAPESB) with protocol BOL0321/2017, and Embrapa Cassava and Tropical Fruits (EMBRAPA). Financial backing was provided by CNPq through grant/research 311318/2022–3, coordinated by MACF, as well as FAPED (Research Project: FAPED/CNPTIA/BCB_ZARC/CNPMF-23800.22/0109–7).
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All authors contributed to the study conception and design. Material preparation, data colleecion and analysis were performed by Neilon Duarte da Silva, Aureo Silva de Oliveira and Mauricio Antonio Coelho Filho. The first draft of the manuscript was written by Neilon Duarte da Silva, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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da Silva, N.D., de Oliveira, A.S. & Filho, M.A.C. Evapotranspiration over a processing cassava field: a comparative analysis of micrometeorological methods and remote sensing. Theor Appl Climatol (2024). https://doi.org/10.1007/s00704-024-05008-3
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DOI: https://doi.org/10.1007/s00704-024-05008-3