首页> 外文会议>Proceedings of the 22nd Asian Conference on Remote Sensing >A FEASIBILITY STUDY ON EVALUATION OF DISTRICT ENVIRONMENTAL METHOD USING REMOTE SENSING OF TM IKONOS DATA FOR HEALTHY CITY NO2 - A CASE STUDY IN URBAN AREAS OF TOKYO BAY 2000 -
【24h】

A FEASIBILITY STUDY ON EVALUATION OF DISTRICT ENVIRONMENTAL METHOD USING REMOTE SENSING OF TM IKONOS DATA FOR HEALTHY CITY NO2 - A CASE STUDY IN URBAN AREAS OF TOKYO BAY 2000 -

机译:利用TM和IKONOS数据遥感评价NO2健康城市的区域环境方法的可行性研究-以东京湾2000-2003年市区为例。

获取原文

摘要

At 5:46 a.m. on January 17th, 1995, the worst disaster in postwar Japan changed Kobe. The ratio of the Kobe Government's houses destroyed by fire came to 98.9% in all of the burned out area. As it turned out, the houses and other buildings densely packed in the narrow streets in the city center may have been the main factor of this Kobe urban disaster. We have been pointing out the importance of the risk forecast of overcrowdedness of the wooden houses. This paper examines a report on the urban areas of Tokyo Bay in the event that it were to suffer similar damage in the future. In addition, two analysis of district characteristics were done using surveying urban geographic information system (GIS) and remote sensing. The healthy city level was estimated by methods using remote sensing from Landsat TM & IKONOS data. Also the relationship between Urban Index(UI) and Normalized Difference Vegetation Index(NDVI) was determined. We proposed that UI relates to the overcrowded ratio, and NDVI relates to healthy city level. We attempted to improve the GIS and remote sensing as effective methods for good urban design tools.
机译:1995年1月17日凌晨5:46,战后日本最严重的灾难改变了神户。在所有烧毁的地区中,神户政府被大火烧毁的房屋比例达到98.9%。事实证明,在市中心狭窄街道上密集堆砌的房屋和其他建筑物可能是这场神户城市灾难的主要原因。我们一直在指出木屋过度拥挤的风险预测的重要性。如果将来东京湾遭受类似的破坏,本文将对东京湾市区的一份报告进行研究。此外,使用城市地理信息系统(GIS)和遥感技术对区域特征进行了两次分析。通过使用Landsat TM和IKONOS数据的遥感方法,估算了健康城市的水平。还确定了城市指数(UI)和归一化植被指数(NDVI)之间的关系。我们建议UI与过度拥挤的比例有关,而NDVI与健康的城市水平有关。我们试图将GIS和遥感技术改进为有效的城市设计工具的有效方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号