Vicente et al. (2026) Monitoring evapotranspiration in agricultural fields with LST-based models

Identification

• Journal: Elsevier eBooks
• Year: 2026
• Date: 2026-01-01
• Authors: Garcia-Santos Vicente, Lluís Pérez-Planells, Juan Manuel Sánchez, Enric Valor, César Coll
• DOI: 10.1016/b978-0-443-38345-8.00003-x

Research Groups

• Department of Earth Physics and Thermodynamics, Faculty of Physics, University of Valencia, Valencia, Spain
• IMK-ASF, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
• Physics Department, University of Castilla-La Mancha, Albacete, Spain

Short Summary

This chapter introduces the importance of monitoring evapotranspiration (ET) in agricultural fields, highlighting the limitations of traditional ground-based methods and proposing LST-based remote sensing models as a more economically viable and spatially representative solution.

Objective

• To present LST-based models as an effective remote sensing technology for monitoring evapotranspiration in agricultural fields, addressing the high cost, cumbersome data processing, and spatial heterogeneity limitations of conventional ground-based techniques.

Study Configuration

• Spatial Scale: Field-scale to large, heterogeneous crop areas.
• Temporal Scale: Not specified in the provided text, but implies continuous or regular monitoring.

Methodology and Data

• Models used: LST-based models (Land Surface Temperature-based models).
• Data sources: Remote sensing technology. (Traditional methods mentioned include Eddy covariance stations, lysimeters, and meteorological station data for Penman–Monteith equation).

Main Results

• The provided text is an introduction and does not contain specific results.

Contributions

• Highlights the critical role of evapotranspiration in hydrology and agriculture, particularly for irrigation scheduling and plant water stress indication.
• Identifies the significant drawbacks of traditional ET estimation methods (e.g., Eddy covariance, lysimeters, Penman–Monteith with meteorological data) in terms of cost, data processing complexity, and inability to capture spatial variability.
• Proposes remote sensing technology, specifically LST-based models, as an economically viable and spatially comprehensive alternative for monitoring ET in large, heterogeneous agricultural areas.

Funding

• Not specified in the provided text.

Citation

@article{Vicente2026Monitoring,
  author = {Vicente, Garcia-Santos and Pérez-Planells, Lluís and Sánchez, Juan Manuel and Valor, Enric and Coll, César},
  title = {Monitoring evapotranspiration in agricultural fields with LST-based models},
  journal = {Elsevier eBooks},
  year = {2026},
  doi = {10.1016/b978-0-443-38345-8.00003-x},
  url = {https://doi.org/10.1016/b978-0-443-38345-8.00003-x}
}