REVIEW article
Front. Remote Sens.
Sec. Data Fusion and Assimilation
Volume 6 - 2025 | doi: 10.3389/frsen.2025.1622884
This article is part of the Research TopicCrop Monitoring Using Multisource Satellite and Unmanned Aerial Vehicle Remote SensingView all articles
Optimizing Integration Techniques for UAS and Satellite Image Data in Precision Agriculture -A Review
Provisionally accepted
- 1North Dakota State University, Fargo, United States
- 2North Dakota State University, Fargo, ND, United States
- 3North carolina state university, Raligh, United States
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The fusion of unmanned aerial system (UAS) and satellite imagery has emerged as a pivotal strategy in advancing precision agriculture. This review explores the significance of integrating high-resolution UAS and satellite imagery via pixel-based, feature-based, and decision-based fusion methods. The study investigates optimization techniques, spectral synergy, temporal strategies, and challenges in data fusion, presenting transformative insights such as enhanced biomass estimation through UAS-satellite synergy, improved nitrogen stress detection in maize, and refined crop type mapping using multi-temporal fusion. The combined spectral information from UAS and satellite sources confirms instrumental in crop monitoring and biomass estimation. Temporal optimization strategies consider factors such as crop phenology, spatial resolution, and budget constraints, offering effective and continuous monitoring solutions. The review systematically addresses challenges in spatial and temporal resolutions, radiometric calibration, data synchronization, and processing techniques, providing practical solutions. Integrated UAS and satellite data impact
Keywords: crop monitoring, Satellite Imagery, UAS imagery, image fusion, high-throughput phenotyping
Received: 04 May 2025; Accepted: 10 Jun 2025.
Copyright: © 2025 BAZRAFKAN, Cannayen, Bandillo and Flores. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: ALIASGHAR BAZRAFKAN, North Dakota State University, Fargo, United States
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