Monitoring tea tree growth status is essential for understanding physiological status at each planting stage and vegetation resilience to environmental stresses. The present study aims to develop a rapid, nondestructive, and large-area tea tree assessment method by combining crop physiological measurements and Unmanned Aerial Vehicle (UAV) multispectral images. Additionally, the differences in physiological performance and growth status of natural-based and conventional-based tea tree practices were discussed. Furthermore, the correlation between physiological measurements and spectral vegetation indexes was analyzed. The preliminary results have shown that the natural-based practice tea trees present high resilience, and the red edge spectral band has a higher correlation with crop physiological measurements. The proposed rapid, nondestructive, and large-area tea tree assessment method demonstrates a great opportunity for tea tree cultivation and management and future applications on early warning in the current extreme climate.

Bridge inspection can use infrared thermal images to display internal damage, but it is difficult to identify the location of damage. By combining infrared thermal images with visible light images, image details and temperature anomalies can be obtained. This study uses Wavelet Transform (WT), Laplacian Pyramid (LP), Nonsubsampled Contourlet Transform (NSCT) and Nonsubsampled Shearlet Transform (NSST) to fuse reinforced concrete bridge images, measure, and compare the accuracy of internal damaged areas. This study shows that LP is difficult to highlight the information of the original infrared thermal image, WT, NSCT and NSST can effectively integrate visible light image and infrared thermal image, and NSCT can highlight infrared thermal image. The area difference between NSCT and other non-destructive detection methods is 0.057 m^2, 0.005 m^2, NSST is 0.094 m^2, 0.007 m^2, WT is 0.153 m^2, 0.007 m^2. NSCT is the closest to the actual area and is not affected by the stains on the bridge deck, so this study recommends NSCT to be used for the detection of concrete bridges.

Bridges have the importance of shortening the distance between counties and cities. Regular bridge inspections can detect bad damage as soon as possible, and repair them to prevent serious disasters such as sudden ruptures and collapses. In recent years, the application of Unmanned Aerial Vehicle (UAV) in bridge inspection has developed rapidly. It has high mobility, high timeliness, and can be equipped with various instruments to improve the inspection efficiency. In this study, the bridge image was captured by a drone equipped with a camera system, and a set of image processing procedures were designed to reconstruct a 3D thermal texture model from the calibrated image, so as to facilitate the identification of the bad damage location and the measurement of the 3D space. In the research, the actual location of the defect was obtained by the impact acoustic method in the target area. The results showed that the spatial geometric accuracy of the 3D model reached the millimeter level, and the measurement accuracy of the surface of the inferior area was better than 96%.

The research area is the eighth, ninth, and tenth districts’ salt evaporation ponds in Chiayi. To discuss the changes of these salt evaporation ponds, image analysis was carried out through the G005 grid of Formosat-5 image, by referring to the Google satellite image, the classified images of QGIS supervised analysis, field survey, and experimental data. The differences in the distribution of solar photovoltaic power plants were investigated to sort out the usage of abandoned salt fields as reference for future plans in Taiwan. Recently, with the rapid development of solar photovoltaics in Taiwan, the transformation of abandoned salt evaporation ponds into solar photovoltaics in this area increases economic efficiency successfully. Nonetheless, under the improvement of transformation, how to reach consensus with the local residents and how to make green energy development and environmental ecology coexist are both significant issues.