Improving ETa Estimation for Cucurbita moschata Using Remote Sensing-Based FAO-56 Crop Coefficients in the Lis Valley, Portugal
Efficient water management is essential for optimizing agricultural productivity in water-scarce regions such as the Lis Valley, Portugal. In situ measurements of soil moisture content (SMC) and electrical conductivity (EC), together with Sentinel-2-derived vegetation indices, were used to assess the crop water status and evapotranspiration dynamics of pumpkin (<i>Cucurbita moschata</i> 'Butternut') during the 2020 growing season. SMC and EC were measured at depths of 10, 20, 30, 50, and 70 cm using a TDR sensor, with strong correlations observed in the upper layers, indicating that EC can complement direct SMC measurements in characterizing near-surface moisture conditions. Sentinel-2 imagery was acquired to compute NDVI, SAVI, EVI, and GCI. In addition, NDVI values obtained from both a GreenSeeker<sup>®</sup> sensor and Sentinel-2 imagery were compared, showing a similar temporal pattern during the season. By replacing the standard FAO-56 K<sub>c</sub> values with those derived from each vegetation index, ET<sub>a</sub> was recalculated to incorporate actual crop condition variability detected via satellite. ET<sub>a</sub> estimates from RS-assisted vegetation indices agreed with those obtained using the FAO-56 method; independent ET<sub>a</sub> measurements were not available for validation. Although such agreement is partly expected due to calibration, its confirmation for <i>Cucurbita moschata</i> under Mediterranean conditions-where published references are scarce-reinforces the method's practical applicability for water management in data-limited settings. Water Productivity (WP) was estimated as 8.32 kg m<sup>-3</sup>, and Water Use Efficiency (WUE FAO-56) was calculated as 0.64 kg m<sup>-3</sup>, indicating high water use efficiency under Mediterranean smallholder irrigation conditions. These findings demonstrate that integrating high-resolution RS with continuous soil moisture monitoring can enhance precision irrigation strategies, increase crop yields, and conserve water resources in the Lis Valley.
Authors
- Rui Eugénio
- José Manuel Gonçalves (ORCID: https://orcid.org/0000-0001-8646-7880)
- Susana C.C. Ferreira (ORCID: https://orcid.org/0000-0001-7137-0859)
- Henrique Damásio
- Juan Manuel Sánchez (ORCID: https://orcid.org/0000-0003-1027-9351)
Institutions
- Polytechnic Institute of Coimbra (PT)
- Research Center for Natural Resources, Environment and Society (PT)
- University of Castilla-La Mancha (ES)
Publication Details
- Journal
- Plants
- Published
- 2025-10-31
- DOI
- https://doi.org/10.3390/plants14213343
- Citations
- 1
- Primary Topic
- Soil Moisture and Remote Sensing
- Type
- article
- Field-Weighted Citation Impact
- 0.80