This project is supported by the National Science Foundation Award # CMMI-1360041
Researchers at San Diego State University (PI Dr. Douglas Stow) and the University of New Mexico (Institutional PI Dr. Chris Lippitt) will collaborate on research pertaining to important elements of end-to-end time-sensitive remote sensing systems (TSRSS) that support post-disaster assessment of damage to critical infrastructure and allocation of emergency response resources. This research aims to ascertain timeliness and reliability requirements for post-damage assessment of infrastructure deemed to be critical by emergency managers. Both simulation and empirical evaluation procedures will be employed to optimize the design and configuration of TSRSS. Further, theoretical approaches and design paradigms for the optimization will be used to design TSRSS to meet the needs of emergency managers. The repeat-station imaging approach to image-based damage detection, as well as technologies for aircraft-to-analyst and analyst-to-user transfer of data and information will be optimized, tested and demonstrated, in a manner that meets manager’s timeliness and reliability requirements.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <https://www.gnu.org/licenses/>
The modules below were developed under and funded by the National Science Foundation’s Tribal Colleges and Universities Program (award #1641310), and are freely available for download and use by Tribal Colleges and Universities, Alaska Native-serving institutions, and Native Hawaiian-serving institutions in order to promote high-quality science, technology, engineering and mathematics (STEM) education, research, and outreach.
To use these modules, click on the links below to download the associated documents and datasets. These are available in several formats for ease of use.
HEC-GeoRAS for Floodplain Inundation Mapping Using
Description: This module covers aspects of hydrodynamic modelling, including the process underlying the mapping of floodplain inundation due to peak flows. To do this it focusses on the use of the GIS extension HEC-GeoRAS (Hydrologic Engineering Center- River Analysis System, developed by US Army Corps of Engineers).