The precision and efficiency of survey technology in water area has advanced drastically due to innovation of sensor technology such as digital camera and GNSS. Each Observation instrument used in the field has a habit, and the accuracy of the result may be debatable. This is the same in the natural environment. For this reason, it is necessary for engineers to acquire the ability to evaluate the results of survey sufficiently by understanding observation instruments and local characteristics at the field.
The Airborne Laser Bathymetry (ALB) is a technique to measure from an aircraft using a scanning (pulsed laser beams) and mainly used for hydrographic survey in shallow and moderately clear, nearshore coastal waters and lakes. Recently, ALB has been utilized for the verification of river surveying. It seems that it will become as a valuable sensor for rapid and accurate measurements in various fields in the near future. In this paper, in order to promote the usage of ALB in various fields, we have described the development history of ALB and measurement outline. We highlighted the differences from conventional airborne laser survey, and introduction of measurement examples in rivers (Yoshino River) and oceans (Kerama islands).
It says that the mineral resource exists richly on the bottom of the sea in EEZ in vast Japan, about 4.48 million km2, but there are many problem which it should conquer in the resource-searching in the deep sea and doesn't reach to grasp correct abundance.
Asada laboratory (Institute of Industrial Science, the University of Tokyo), it is promoting the development, the coming to practical use of the prospecting technology to grasp more efficiently as “the ocean mineral resource wide area prospecting system”than 2013 and effectively and technology transfer business to the private enterprise and so on.
In this clause, among the ocean mineral resource wide area prospecting system, it introduces the basic performance of AUV built-in type IsSAS which was developed to investigate a hydrothermal deposit and so on efficiently and effectively by the high-precision 3D sound image and a measurement case.
NEDO (New Energy and Industrial Technology Development Organization) has developed and published a web based offshore wind map named “NeoWins (NEDO Offshore Wind System)”in which we can browse various beneficial information for offshore wind development such as simulated wind condition, natural and societal environments, and calculation of electric-generating capacity. This paper presents features of NeoWinds and introduces a floating lidar system which is one of the most promising methods for wind measurement as well as its trend in European offshore wind market.
The public facilities needing repair increases every year in Japan. Particularly, moorings of port facility under severe natural environments coming in contact with seawater surface needs appropriate maintenance. Nowadays, various studies are being conducted using ICT and robots to solve social problems. Therefore, the authors have verified the applicability of the inspection work on the undersurface of the upper pier concrete using images acquired by unmanned surface vehicle. This paper describes the process and results of deformation measurements and judgments such as cracks using 3D model and orthophoto mosaic image obtained by three-dimensional reconstruction process.
We describe a forest fire detection algorithm adaptable to the Second-generation GLobal Imager (SGLI) sensor which is on board the upcoming GCOM-C satellite. Since the SGLI lacks a mid-infrared 4μm ‘fire channel' which is mainly used for existing satellite-based active fire observations, our fire detection approach uses near infrared and shortwave infrared reflectance channels and a thermal infrared channel which are equipped on the SGLI. Some threshold tests for fire pixels detection are made by a methodology based on the multi-spectral analysis for the reflectance channels, and based on brightness temperature difference between a fire pixel and its non-fire background for the thermal channel. In this study, we use the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data to simulate the pre-launch SGLI data and to create truth fire data. We performed a detection accuracy evaluation of our algorithm using 26 ASTER scenes. The correct detection rate of our algorithm against the truth data was approximately 14[%]. The reliable rate which is defined as a ratio of the correct detected pixels to the total detected pixels was approximately 98[%]. The fire size which is accurately detectable by our algorithm was approximately 185[m] square.