![]() 1Īirborne remote sensing images are widely used in agriculture for monitoring crop growing conditions, detecting pests (i.e., weeds, diseases, and insect damage) and for estimating crop yields of large agricultural areas. Equipping these aircraft with appropriate imaging systems can help aerial applicators acquire airborne images for agricultural applications. 2 – 4 Agricultural aircraft provide a readily available and versatile platform for airborne remote sensing. 1 Consequently, consumer-grade digital cameras have been increasingly used for remote sensing applications. Recent advances in imaging technologies have made consumer-grade digital cameras an attractive option for remote sensing applications due to their low cost, small size, compact data storage, and ease of use. The results from this study will provide useful information for the selection of image mosaicking software and techniques for aerial applicators and other users. The results also showed that the accuracy of image mosaicking techniques could be greatly affected by the size of the imaging area or the number of the images and that the accuracy would be higher for a small area than for a large area. ![]() The spherical method in Photoshop CC can be an alternative for cost considerations, and Autostitch can be used to quickly mosaic images with reduced spatial resolution. Analysis and accuracy assessment showed that Pix4Dmapper can be the first choice if georeferenced imagery with high accuracy is required. Ground control points were collected for georeferencing the mosaicked images and for evaluating the accuracy of eight mosaicking techniques. ![]() Three software packages-Photoshop CC, Autostitch, and Pix4Dmapper-were selected for mosaicking airborne images acquired from a large cropping area. ![]() The objective of this study was to identify appropriate mosaicking techniques and software to generate mosaicked images for use by aerial applicators and other users. Images captured from airborne imaging systems can be mosaicked for diverse remote sensing applications. ![]()
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January 2023
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