Method for determination of tealeaves harvest timing with ground based visible and near infrared cameras is proposed together with tea tree vitality assessment. Off-nadir viewing cameras acquire not only tealeaves but also shadow and shaded portions of tealeaves as well as soil surface which depend on illumination conditions of the sun, soil surfaces and winds. In order to avoid these influences on determination of tealeaves harvesting timing, a method to extract tealeaf surfaces of which the tealeaf surfaces are pointing to zenith direction. Relations between Near Infrared : NIR data which is acquired with the proposed ground based NIR camera and nitrogen and fiber contents in tealeaves as well as harvest amount of tealeaves are clarified. Meanwhile, tea tree vitality is defined as nitrogen contents in harvested tealeaves multiplied by harvesting amount per unit area. A method for tea tree vitality estimation with satellite remote sensing visible to near infrared radiometer data which are acquired in February time frame is also attempted. The proposed method is validated with ground truth data of nitrogen and fiber contents in tealeaves and harvest amount of tealeaves. The estimation results of tea tree vitality are displayed on Geographic Information System : GIS together with satellite imagery data and ground truth data. Thus leaf tea producing process can be controlled with the GIS derived information by tea fields.
In this paper, we discussed about As build data measured with 3D laser scanner, and the application of it. We measured one of the industrial heritages “Gunkan-Island” which the collapse is advanced. We carried out a rendering of point clouds as a sphere. That picture has the texture information such as pictures to add the shading in the pillars, beams and damaged part. So we can support to make damaged plans by using the rendered pictures. We solved that the width of cracks below resolving power of the photograph taken with the digital camera, has a correlation between the numerical data of features and the distribution width of colors. We created the index which Crack Index is “the numerical data of features and the distribution width of colors” and made a system for assisting in drawing the cracks. We could reduce the cost and term for tracing cracks.