Use of GIS and Remote Sensing Technology as a Decision Support Tool in Flood Disaster Management: The Case of Southeast Louisiana, USA

• 作者: Caroline O. Akinrinwoye Edmund C. Merem John B. Namwamba Joshua Tate Kamran Abdollahi Kellyn La Cour-Conant Onyumbe E. Ben Lukongo Ronald Okwemba Tomas Ayala-Silva Yaw A. Twumasi
• 来源期刊: 地理信息系统(英文)
• 学科: 工学
• 关键词: GIS Remote Sensing FLOOD Disaster MANAGEMENT Regional Information Systems (RIS) SOUTHEAST LOUISIANA
• 年，卷（期）: dlxxxtyw,（2）
• 页码范围: 141-157
• 页数: 17页
• 分类号: TP3

摘要

The primary objective of this paper was to identify flood-prone areas in Southeast of Louisiana to help decision-makers to develop appropriate adaptation strategies and flood prediction, and mitigation of the effects on the community. In doing so, the paper uses satellite remote sensing and Geographic Information System (GIS) data for this purpose. Elevation data was obtained from the National Elevation Dataset (NED) produced by the United States Geological Survey (USGS) seamless data warehouse. Satellite data was also acquired from USGS Earth explorer website. Topographical information on runoff characteristics such as slope, aspect and the digital elevation model was generated. Grid interpolation TIN (triangulated irregular network) was carried from the digital elevation model (DEM) to create slope map. Image Drape was performed using ERDAS IMAGINE Virtual GIS. The output image was then draped over the NED elevation data for visualization purposes with vertical exaggeration of 16 feet. Results of the study revealed that majority of the study area lies in low-lying and very low-lying terrain below sea level. Policy recommendation in the form of the need to design and build a comprehensive Regional Information Systems (RIS) in the form of periodic inventorying, monitoring and evaluation with full support of the governments was made for the study area.