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Studies on environment and resources information system for circulatory society

循环社会环境资源信息系统研究

基本信息

批准号：
13460147
负责人：
SAKAI Tetsuro
金额：
$ 7.94万
依托单位：
Kyoto University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2001
资助国家：
日本
起止时间：
2001 至 2004
项目状态：
已结题

项目摘要

As a monitoring of environment and resources information using satellite data, various satellite data were examined. The AVHRR data of NOAA is suitable for the monitoring throughout the long term in the wide region. Using the month maximum NDVI value calculated from AVHRR data, the classification method of land-use and vegetation was examined. Using this method, the land use division is possible in the countries with the unimproved database, easily. For Thailand and China, the usefulness of this method was examined. In the case of the classification using the data for the multiple years, the NDVI value is greatly influenced for the year fluctuation of climates such as temperature and precipitation. Therefore, there is a case in which it differs for the classification class even in the site where the land use does not change. As the countermeasure, the classification using standardization of monthly of the data and the classification considering degree of assignment to the each classification class were examined. As the result, it was possible to remove the effect of the year fluctuation in comparison with the classification using the living data. And, land use division using high-resolution satellite data of IKONOS and altitude data by the aircraft lidar was also examined. As the result, method of processing of the shadow of satellite data by the ratio calculation was useful. And, the classification technique using joint the lidar data and satellite data was effective. The surface high of the vegetation information, which are average, standard deviation, maximum value and minimum value, and satellite data, which are vegetation index and band value, were used. In the GPS positioning, accuracy was examined. As the result, next fact was proven. It is enough even in the independent positioning for the navigation and, DGPS are necessary in order to be correspondent to the high-resolution satellite.

作为利用卫星数据监测环境与资源信息的一种手段，对各种卫星数据进行了研究。NOAA的AVHRR数据适用于大区域的长期全程监测。利用AVHRR数据计算出的月NDVI最大值，探讨了土地利用和植被的分类方法。利用这种方法，可以在数据库未改进的国家中轻松地进行土地利用划分。对于泰国和中国，研究了这种方法的有效性。在使用多年数据进行分类的情况下，NDVI值受温度和降水等气候的年波动影响较大。因此，即使在土地用途没有改变的地点，也存在分类类别不同的情况。作为对策，对数据月度标准化分类和各分类类分配程度的分类进行了考察。因此，与使用生活数据的分类相比，有可能消除年份波动的影响。利用IKONOS的高分辨率卫星数据和飞机激光雷达的高度数据进行土地利用划分。结果表明，利用比值计算方法处理卫星数据阴影具有一定的实用价值。采用激光雷达数据和卫星数据相结合的分类技术是有效的。利用地表高度的植被信息（平均值、标准差、最大值和最小值）和卫星数据（植被指数和波段值）。在GPS定位中，对其精度进行了检验。结果，下一个事实被证明了。即使在独立定位的情况下，为了与高分辨率卫星相对应，也需要DGPS。