Remote sensing-based irrigation scheduling tool using the SETMI model in variable rate irrigation system

Ivo Zution

doi:10.1117/12.3009804

20 October 2023 Remote sensing-based irrigation scheduling tool using the SETMI model in variable rate irrigation system

Ivo Zution

Author Affiliations +

Proceedings Volume 12727, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV; 1272713 (2023) https://doi.org/10.1117/12.3009804
Event: SPIE Remote Sensing, 2023, Amsterdam, Netherlands

Abstract

Models using remote sensing to estimate evapotranspiration (ET) and water requirements of agricultural crops have been used for monitoring and managing water resources. The objective of this study was to use the SETMI hybrid model through multispectral and thermal imaging to estimate the ET and water requirement of agricultural crops using center pivot irrigation systems through the variable rate irrigation (VRI) for the State of North Dakota in the USA for the years 2021 and 2022. The SETMI model adequately estimated the ET and water requirements in VRI systems, improving irrigation management and the use of water resources.

Conference Presentation

Citation Download Citation

Ivo Zution "Remote sensing-based irrigation scheduling tool using the SETMI model in variable rate irrigation system", Proc. SPIE 12727, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV, 1272713 (20 October 2023); https://doi.org/10.1117/12.3009804

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