Abstract

This dataset is a collection of UAV visible light images of Tianshan spruces (superior mountain forest tree species in Xinjiang) for deep learning training. Tianshan spruces are the most important conifer species in ecological function in Tianshan region, Xinjiang. It is particularly important to effectively identify and divide Tianshan spruce forest through remote sensing technology, which provides important support for collecting the information of Tianshan spruce single factors. In this study, combining with mountain terrain and environmental factors, we developed a UAV field operation plan to collect visible light remote sensing image data of Nanshan Practice Forest Farm of Xinjiang Agricultural University, which were spliced into orthophographic projective images after data filtering, geometric correction and ortho correction and other pre-processing methods. We then adopted Labelme software to plot and classify Tianshan spruces and obtained a dataset of 1,128 UAV visible light images of Tianshan spruces for deep learning training in 2017.

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