An unmanned aerial vehicle (UAV) was used to capture high-resolution aerial images of crop fields. Software-based image analysis was performed to classify land uses. The purpose was to help relevant agencies use aerial imaging in managing agricultural production. This study involves five townships in the Chianan Plain of Chiayi County, Taiwan. About 100 ha of farmland in each township was selected as a sample area, and a quadcopter and a handheld fixed-wing drone were used to capture visible-light images and multispectral images. The survey was carried out from August to October 2018 and aerial photographs were captured in clear and dry weather. This study used high-resolution images captured from a UAV to classify the uses of agricultural land, and then employed information from multispectral images and elevation data from a digital surface model. The results revealed that visible-light images led to low interpretation accuracy. However, multispectral images and elevation data increased the accuracy rate to nearly 90%. Accordingly, such images and data can effectively enhance the accuracy of land use classification. The technology can reduce costs that are associated with labor and time and can facilitate the establishment of a real-time mapping database.

The rapid pace of modern life, as well as chronic work and academic overloading, contribute to our society’s progressively increasing stress levels. Chronic stress can affect both physical and mental well-being. Numerous studies have confirmed that viewing a nature-based video presentation can reduce stress and result in attention recovery. However, the discourse has been primarily focused upon stimulation applied over a single duration, rather than over various durations. Therefore, the present study explored the effect of various viewing durations with regard to forest-related videos on stress reduction and attention recovery. Before the videos’ presentation, the participants’ stress and distraction levels were increased through stimulation. Data on stress, attention, and relaxation were collected through the implementation of the State–Trait Anxiety Inventory and an electroencephalogram instrument. Equal numbers from the 90 participants (i.e., 30) were assigned to watch a short, medium-length, or long video (5, 10, and 20 minutes in duration, respectively). The viewing of 20-minute forest-related videos significantly promoted stress reduction and physiological relaxation. The present findings advance the understanding of the relationship between viewing nature scenes duration and psychophysiological states; thus, they serve as a reference for future research on the natural-dose concept, as well as the development of relevant activities and courses.