ASCE will be sunsetting the Civil Engineering Database (CEDB) in the coming months. We encourage you to start using the ASCE Library to perform content searches. In the ASCE Library, you can save your search results as well as receive email content alerts when new content relevant to your area of interest is published. Try it out today at https://ascelibrary.org.

 

Geographic Information Systems (GIS) and Remote Sensing?A Guide for Parameter Development in Water Resources and Environmental Modelling

by Raul M. Mercado, Gee & Jenson, West Palm Beach, United States,



Document Type: Proceeding Paper

Part of: Civil Engineering Applications of Remote Sensing and Geographic Information Systems

Abstract:

Development in both software and hardware engineering in the last decade has resulted in the proliferation of GIS and remote sensing packages. While computer-based packages have experienced dramatic cost reductions to levels 'affordable' by most firms and government agencies, and cost is no longer considered a significant barrier for GIS/Remote Sensing Technology acquisition, the average practicing professionals has not benefitted from the innovative and powerful tools these systems offer. One of the basic reasons preventing the popularization of GIS/Remote Sensing among Civil Engineer practitioners, is the lack of knowledge. Many professionals have not received formal GIS training in college and can seldom afford to attend rather expensive specialized systems-oriented training sessions at work. A second applies to the majority of professionals who have gained a basic familiarity of these systems, but feel overwhelmed by their assumed complexity and packaged-oriented application. This paper is being presented to aid the practicing professionals in the process of GIS/Remote Sensing technology acquisition and transference to project work. Guidelines will be offered for development of input parameters for impact modelling in water resources and environmental modelling. Vector and raster (grid cell) GIS database structures will be qualified for use in model parameter development. Specific impact model data structures will be analyzed for linkage to GIS and Remote Sensing.

Subject Headings: Geographic information systems | Water resources | Information systems | Sensors and sensing | Parameters (statistics) | Information management | Databases

Services: Buy this book/Buy this article

 

Return to search