Current situation and accumulated development of archaeological sites have very high impacts on the preservation value of the site. This research set 3 archaeological sites in Taiwan as study areas. Assessment of the degree of destruction of cultural layers due to land use change and morphological change were conducted with aerial photographs (1976~1978; 2016~2017) and digital aerial survey technology. The results showed that the archaeological sites were all seriously influenced due to the high land use intensity between 1976~2017. Morphological changes caused by human cultivation and engineering construction were main causes of site destruction, especially in private lands. Therefore, urban planning methods for land acquisition or land regulation are necessary. The prediction model of the destruction degree of the cultural layers of the site developed by the research team has also achieved good predictive ability. In the future, this technology can be applied to improve the effectiveness of archaeological sites management and effectively review the problem factors.

This study analyzed the relationship between the environmental temperature and the number of car accidents from the perspectives of space and time. The environmental temperature was retrieved by satellite images and the car accident records were based on the open data provided by the government open data platform. After sorting out the location data, three grid cells of different sizes were used to calculate the average surface temperature of the city and the number of car accidents. In order to confirm whether other factors are also related to the occurrence of car accidents, we added index related to road types, and analyzed relative asymmetry (RA) indicators through the concept of space syntax using road network diagrams to calculate the integration of the road. After the above pre-processing was completed, the bivariate local indicators of spatial association (BiLISA) and Poisson regression were used to analyze the spatial and non-spatial correlations between the surface temperature and the RA value and the number of accidents. The results help us to clarify whether there is a correlation between the location of the car accident and the urban surface temperature or road pattern. The results showed that both BiLISA and Poisson regression proved that the number of car accidents is positively correlated with the surface temperature, which can be provided to urban planning and local police units for future comprehensive review, urban design, car accident prevention, city appearance arrangement and traffic law enforcement etc. as the reference.

This paper contributes on an understanding of the relationship between municipal spatial plan and land use. We used FS-5 images as the material to discuss the spectrum features between different land uses based through NDVI analysis and supervised classification. The results show that A. the land use hot spots distribute over the suburbs closing to cities; B. the land use types change from agricultural and forestry to industrial, commercial and residential.

Real-Time Kinematic (RTK) technology can provide centimeter level positioning accuracy. In this study, using RTK technology on UAV navigation control is very helpful. Two RTK GNSS receivers place on UAV can provide a heading angle measurement. It can co-work with E-compass to obtain the heading angle of the vehicle. GNSS compass can avoid magnetic disturbance problem. This article uses two sets of PMGN1 GNSS receivers. In static experiment, RTK fix rates can reach to 99%, and the coordinate error is about 1 cm. In dynamic experiment, RTK fix rates are 97%. The accuracy of the heading angle is less than 3 degrees when the baseline of two antenna is about 20 cm. This result can let the UAV heading angle determination not only rely on E-compass.