Wetlands is one most valuable ecosystems on the earth. Also today the importance of wetland is pointed out as a major emission source of methane which is one of the green house gases. The development of remote sensing method to monitor wetlands vegetation distribution is urgent necessity. The purpose of this study is to investigate remote sensing methodology for monitoring wetland vegetation distribution by utilizing Synthetic Aperture Radar data. Vegetation classification was performed with multi-temporal JERS-1/SAR (L band) and ERS-1/AMI (C band) images. As initial step for classification, the speckle noise reduction was performed by MAP filter. As the result of supervised classification by Maximum likelihood method, an accurate wetland vegetation classification map was produced.
Port-island is offshore artificial island of 436 hectare area which has both functions of a harbor and a city. The new city planning which surrounded residential area in a public institution has been done. Residential area is constituted in high altitude condominium and many community institutions of citizen hospital, international convention facility, international exhibition building is built as surrounding a condominium group. Kobe city received the big damage by South Hyogo earthquake that occurred at 5: 46 am on January 17, 1995. The people who can't get information of outside by the damage of life line and liquefaction damage spent an anxious few days. Our country is narrow, we need to continue construction of artificial island as utilization the space. So it is important to compare an amount of subsidence of building and ground of before and after an earthquake disaster. This paper describes liquefaction damage of Port-island using observation result of leveling and satellite image
The effectiveness of the real-time ortho projection and drawing system using a CCD camera and line lasers developed by the authors has been demonstrated. However, 3 dimensional visualization for archeological artifacts, such as surface model or texture model should be performed. There are some methods for performing a digital 3D modeling such as the range finder method. The most remarkable point of this system is its ability to get a real-time ortho projection image and a 3 dimensional model with one CCD camera.
The necessity of maximizing urban space has been fueling studies on three-dimensional (3D) geographic information systems (GIS) . Yet 3D data acquisition still relies on conventional, labor-intensive and costly photogrammetric techniques, and the data often suffers from being out-dated. This study investigates the potential of an airborne scanning laser radar system for 3D data acquisition and change detection of a 3D GIS database. Although attitude control of the helicopter still needs significant improvement for practical applications, the system proved to have the potential capability of automatically acquiring 3D information and detecting changes of 3D urban features.
Previously unknown ancient remains were detected in the Memphite necropolis of Egypt by the analysis of satellite data. As one of the result, a brick architecture with a small pyramid of the new kingdom was discovered at Dahshur which is some 20km south from Giza. It was the first discovery in Egypt using this new method. This study is being done in cooperation with Tokai University Research & Information Center and The Egyptian Culture Center of Waseda University. The main purpose of this study is to detect undiscovered pyramids in Egypt with the aid of satellite remote sensing technology and ecological analysis of the Egyptian dynastic period. Satellite remote sensing technology is expected to be a powerful tool for a wide range observation in the field of archaeological study. Multiple satellite data, i. e., Landsat-TM, SPOT-PAN, SPOT-XS, KVR-1000, JERS 1-SAR, EERS 1-SAR and maps based on archaeological research, were used for this study. The discovery of the remains was made in the process of the study. The result of this study clearly shows that satellite remote sensing technology is a very useful in archaeological observation.
This paper describes an algorithm for deriving line features generated by roads in forests from L-band synthetic aperture radar (SAR) images. The algorithm traces connected dark pixels successively, while avoiding meaning-less linear features generated by speckle and connecting interruptions in dark line features due to bright back-scattering from trees. The algorithm has been applied to L-band SAR images of the northern Yucatan Peninsula where a substantial amount of roads of the Maya Age are known to exist, and has operated satisfactorily.
In recent year, we can easily measure three dimensional location at a certain point using a GPS (Global Positioning System) instrument. Generally we can use the some way for positioning, point positioning, DGPS (Differential GPS) and GPS surveyer. It is said that accuracy by point positioning is about 100 meters, DGPS is 3 meters and GPS surveyer is 1 cm. DGPS and GPS surveyer get high accuracy by means of two GPS instruments. One of them are set on known point and the other, observed point. Both of them must be observed at same time. But, when we use a GPS instrument in undeveloped region, it is difficult to determine known point and observe at same time. Therefore, it is important to examine real accuracy of point positioning. We inspected accuracy of point positioning using GPS instruments produced in some companies.