The contractor (including the planner) of a plant maintenance site has to grasp the latest on-site situation before planning maintenance work. This information is necessary to create a draft operational plan and various drawings. To enable this understanding, measurements are conducted using local or convex viewing equipment. In addition, drawings are revised based on the measurement results. As 3D equipment such as total station (TS) or terrestrial laser scanners (TLS) has become more affordable, the use of metering equipment can be considered. A plant maintenance site includes many reference points (e.g., piping and piping support materials, and electric wire cables). Therefore, the TLS cannot be used at all locations. This results in blind spots in the measurement process. In that case, the TLS is moved to another on-site location. Thus, because it may be difficult to identify TLS settings in some cases, the introduction of different measurement procedures is important. Digital photogrammetry with Structure from Motion (SfM) is also expected to be introduced along with TLS. In such cases, it is necessary to use an effective alignment method with point cloud data relevant to the plant maintenance site. This paper presents a new alignment method, which considers the circumstances to a plant maintenance site.
We believe that Mitinoekis will help regional revitalization to be realized as regional bases and entrances. In this letter, in order to understand current situation analysis, we estimate the number of local residents who use Mitinoekis in regional areas. For the purpose, we classify Mitinoekis in rural village, underpopulated area and other ereas, calculate the ratio of the number of users to the traffic volume of Mitinoekis (stop-by rate) in each area, and examin the importance of Mitinoekis in rural village and underpopulated area. In addition, we investigate the presence of hospitals and clinics around Mitinoekis in rural village and underpopulated area, and examine how it affects the stop-by rate to Mitinoekis. In this study, we pick up 128 Mitinoekis in Kyushu.
This paper presents crop classification using satellite data to establish a mapping method to replace the existing ground survey. We used five scenes of C-band fully polarimetric SAR satellite Radarsat-2 data. Datasets of sigma naught and four polarimetric parameters, Freeman－Durden (FD), Van Zyl (VZ), Yamaguchi (YG), and Cloude－Pottier (CP), were calculated from each image data. We assessed the accuracy of the classification obtained by the random forest machine learning algorithm. Three results are shown. First, the highest accuracy using only one of the five datasets (0.918) was obtained by the VZ parameter dataset. Second, using three datasets, the combination of the sigma naught, VZ parameter, and CP parameter datasets obtained the highest accuracy (0.922). Third, when we used all five datasets, the accuracy (0.918) was not improved. These results confirm that crop classification using Radarsat-2 C-band data is very effective and the use of a combination of sigma naught, VZ parameters, and CP parameters obtained the highest accuracy.
The purpose of this Act is to provide matters concerning the responsibilities of the national government, establishment of a licensing system for the Use of Satellite Remote Sensing System, obligations of Satellite Remote Sensing Data Holder, qualification of persons handling Satellite Remote Sensing Data, supervision by the Prime Minister and other necessary matters concerning handling of Satellite Remote Sensing Data in line with the basic principles stipulated in the Aerospace Basic Act (Act No. 43 of 2008) to ensure appropriate handling of Satellite Remote Sensing Data in Japan.