Satellite and drone multi-spectral and thermal images data fusion for intelligent agriculture monitoring and decision making support

Miroslav Y. Tsvetkov

doi:10.1117/12.2679922

17 October 2023 Satellite and drone multi-spectral and thermal images data fusion for intelligent agriculture monitoring and decision making support

Miroslav Y. Tsvetkov

Author Affiliations +

Proceedings Volume 12727, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV; 127271J (2023) https://doi.org/10.1117/12.2679922
Event: SPIE Remote Sensing, 2023, Amsterdam, Netherlands

Conference Poster

Abstract

Intelligent agriculture increasingly relies on modern technologies for reliable monitoring of crops and timely detection of areas in which special intervention is needed to ensure the planned yields. This paper represents the results of a study of the possibilities of fusion and processing of multi-spectral and thermal data from satellite systems and such from remotely controlled platforms (drones) for the decision making support in intelligent agriculture. The study examined images with different resolutions, such as from the Sentinel-2, Landsat and Planet Labs satellite systems, as well as multi-spectral images from the commercial drones DJI Phantom 4 Multispectral and thermal images (thermograms) from the DJI Mavic 2 Enterprise Advanced.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Miroslav Y. Tsvetkov "Satellite and drone multi-spectral and thermal images data fusion for intelligent agriculture monitoring and decision making support", Proc. SPIE 12727, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV, 127271J (17 October 2023); https://doi.org/10.1117/12.2679922

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