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Observation Methods and Model Approaches for Estimating Regional Crop Evapotranspiration and Yield in Agro-Landscapes: A Literature Review

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Landscape Modelling and Decision Support

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Abstract

The chapter presents an overview of various methods and model approaches that can be used to derive crop evapotranspiration and agricultural yield state from remote sensing data. The overview is based on an extensive literature review. The studied literature reveals that many valuable techniques have been developed both for the retrieval of evapotranspiration and crop yield from reflective remote sensing data as for the integration of the retrieved variables into crop models. However, for crop modelling and remote sensing data assimilation to be commonly employed on a global operational basis, emphasis will have to be put on bridging the mismatch between data availability and accuracy on one hand, and model and user requirements on the other. This could be achieved by the integration of images with different spatial, temporal, spectral and angular resolutions, and the fusion of optical data with data from different sources.

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Correspondence to Leonidas Toulios .

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Toulios, L., Spiliotopoulos, M., Papadavid, G., Loukas, A. (2020). Observation Methods and Model Approaches for Estimating Regional Crop Evapotranspiration and Yield in Agro-Landscapes: A Literature Review. In: Mirschel, W., Terleev, V., Wenkel, KO. (eds) Landscape Modelling and Decision Support. Innovations in Landscape Research. Springer, Cham. https://doi.org/10.1007/978-3-030-37421-1_5

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