The technique of acquiring information about objects with measurements from any distance without physical contact with the objects develops in parallel with technological developments. In this context, remote sensing and geographical information systems are preferred by many professional disciplines. High-quality information is obtained in a short time and cost-efficient with these technologies. Especially in recent years, these technologies are supported by unmanned aerial vehicles. This study focuses on information extraction by combining remote sensing, unmanned aerial vehicle images and spherical astronomy information. This study aimed to reach to height information by using multispectral 2D top view images obtained by unmanned aerial vehicle. The study consists of three basic stages. In the first stage, the literature on the subject has been researched and three plant materials with different physical properties have been selected. In the second stage, field surveys were carried out. The database was created by measuring the root collar diameters, true lengths, shadow lengths and position information of the respective trees. In the final stage, the heights of these plants were calculated based on the coordinate data and the position of the sun within the framework of spherical astronomy information. The results showed that the method used to obtain height information is quite accurate. The tree heights obtained as a result of the applied method are over 95% accuracy compared to the actual heights of the trees. It has shown that the method can extract tree heights in a short time, with low cost and small data size. Clearly, this study shows the promising results and has potential to be used in landscape management planning.