SBIR-STTR Award

An Interoperable Decision Support System for Flood Disaster Response Assistance
Award last edited on: 3/2/2018

Sponsored Program
SBIR
Awarding Agency
NASA : GSFC
Total Award Amount
$874,779
Award Phase
2
Solicitation Topic Code
S5.02
Principal Investigator
Guy J Schumann

Company Information

Remote Sensing Solutions Inc (AKA: RSS)

3179 Main Street PO Box 1092
Barnstable, MA 02630
Location: Single
Congr. District: 09
County: Barnstable

Phase I

Contract Number: NNX17CG65P
Start Date: 6/9/2017    Completed: 12/8/2017
Phase I year
2017
Phase I Amount
$125,000
There is a plethora of remotely sensed information and geospatial data (from models, OpenStreetMap, etc.) available to describe and quantify the processes, magnitude, frequency and impacts of floods. Ongoing NASA (and other space agencies e.g. ESA, ISA, JAXA) missions provide an enormous volume of free data that can deliver information at the appropriate temporal and spatial resolution for flood disaster management and emergency response spanning the natural process of a flood event from "clouds to inundation" or "mitigation to response". However, information is under-utilized by response teams, mostly because of its relative novelty and unintuitive access: (1)difficulties in obtaining information within the timeframe for mitigation, preparedness, response/recovery, (2)confusion as to the most appropriate data assets for a flood situation, (3)limited time and personnel capacity to process and handle new types of datasets; (4)limited bandwidth for large file sharing capacity in deep-field environments (5)incompatibility between user mapping platforms and geospatial data formats; (6)data availability may be simply unknown and/or data latency may be inadequate; and (5) limited understanding by scientists and engineers about end user operational requirements. This problem was discussed by emergency, science academic, and private sector experts during a workshop on "Flood Response" in June 2016. The top priority action item agreed upon was the need to build a "one-stop-shop" online GUI that was built on OGC standards and had a number of end-user guided "wish items", such as depicting and predicting extent and location of impact area for data acquisition tasking.In order to address these needs, we propose to deliver flood-related NASA and other geospatial data layers to flood emergency managers and responders in an easily accessible format using an online Decision Support System that will integrate with end-user operation systems and provide relevant, timely information.

Potential NASA Commercial Applications:
(Limit 1500 characters, approximately 150 words) NASA's Earth Science infrastructure exists in a landscape of data systems that contain valuable remotely sensed analysis and modeled information. RSS, Inc. is part of a number of ongoing NASA projects in which satellite data and model simulations of flood event processes are converted into accessible user-friendly formats. This is in accordance with NASA's Applied Science Program to support its contributions to Action 2 of the National Plan for Civil Earth Observations to "Improve Data Access, Management, and Interoperability". In this proposal, RSS would augment current efforts by including the newly launched GPM and SMAP data layers from NASA data centers into the proposed decision support system, thereby enhancing ongoing NASA ROSES project deliverables that plan to make NASA MODIS and Landsat flood maps and global flood model simulations easily accessible through data distribution platforms, such as the Dartmouth Flood Observatory and Google's Earth Engine. Such data layers will provide a seamless overlay and create a multi-layer flood event hazard chain ranging from a flood driver layer (GPM) through flood onset layers (SMAP) to flood event hazard layers (from NRT MODIS combined with flood model maps) and flood predictions (UMD's Global Flood Monitoring System). This SBIR DSS project would also use mature technologies that leverage current NASA data system capabilities thereby increasing the efficiency for decision-makers and enabling new users to benefit from EO data.

Potential NON-NASA Commercial Applications:
(Limit 1500 characters, approximately 150 words) Non-NASA applications are numerous. It is anticipated that the proposed DSS for flood disasters will be used by national and international agencies, development aid organizations, local and regional authorities as well as scientists and academics. To this end, we will work with a number of different decision-makers from the onset of Phase I. Most of the selected end-users (FEMA, USGS, NGA, DFO, UMD, StormCenter Communications Inc., CSR, JPL, World Bank, UN WFP, CEOS, LIST, LA DOT) were participants of the June Flood Response workshop (organized by PI Dr. Schumann). At the workshop, this new Community of Practice agreed to collaborate and support ongoing as well as newly proposed flood response activities and efforts such as the DSS proposed here. This "collective awareness" of needs, challenges and requirements will form the basis of the design, development and implementation of the proposed DSS.The team also expects this system to be used by scientists and academics active in flood science and hydrology in general. The proposed "one-stop-shop" for flood disaster response will ingest data from many non-NASA operational and research organizations such as USGS, NOAA, ECMWF, JRC and other space agencies, that are active in flood mapping, modeling and forecasting.

Technology Taxonomy Mapping:
(NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.) Data Modeling (see also Testing & Evaluation) Data Processing Display Image Processing Knowledge Management

Phase II

Contract Number: 80NSSC18C0121
Start Date: 5/4/2018    Completed: 5/3/2020
Phase II year
2018
Phase II Amount
$749,779
For flood monitoring and response, NASA and other agencies are increasingly stepping up to the challenge to harness its remote sensing and modeling resources during an event. As these capabilities are designed and then progressively improved, there is a coupled need for mechanisms to sustain them. There is to date no global decision support system for flood disasters that ingests all the data from existing systems and provides real-time critical information that can guide operational reactions on the ground. Because these capabilities evolve over time, any such interoperable system must incorporate changes and improvements thereof, it must be flexible, and itself robust and able to be maintained into the future. These challenges are addressed in this SBIR where Remote Sensing Solutions collaborates with existing efforts of the Dartmouth Flood Observatory to develop an interoperable one-stop-shop based on open geospatial data standards that unifies information relevant to flood disaster response. Four primary objectives have been defined to achieve this goal (product, i.e. data layer, design; system development; demonstration; commercialization plan). The technical approach to meet the objectives is streamlined into specific work packages, each one including a milestone target to ensure successful project completion.

Potential NASA Commercial Applications:
(Limit 1500 characters, approximately 150 words) We plan to keep the proposed system flexible enough to accommodate data from future flood-related missions, such as the post-launch data products of the NASA/CNES SWOT mission, and the water level product planned for ICESat-2 (also ESA?s Sentinel 3). Also for pre-mission projects, in particular to the mission Science Definition Team (SDT) and Science Team (ST), such a DSS system proves very valuable since it provides a global viewing and analysis platform of many available geospatial data layers from major satellite missions as well as models. The proposed DSS will be developed in close collaboration with relevant partners and stakeholders from all kinds of economic sectors. This will ensure maximum impact of a ?one-stop-shop? for flood disaster response that meets the top priority requirements of each community active in flood response, thereby greatly facilitating operations. Also for the NASA Applied Science Disasters Program, the DSS will be a very valuable resource for assisting disaster response.This SBIR project will also help support continuation of the very successful GEO/CEOS Flood Pilot that ends officially in December 2017. In fact, the PI and many others on this team, including the NASA and non-NASA advisors have been active contributors to the Flood Pilot and would like to continue such activities, and such could be easily done under the auspices of this SBIR project.



Potential NON-NASA Commercial Applications:
:

(Limit 1500 characters, approximately 150 words) For commercialization, the team envisages ?paid access? to the DSS to ensure ongoing maintenance, upgrades and sustainability of the DSS. This would allow full free access to scientists, researchers, the development aid sector and government organizations as well as NGOs. The team has identified the following two target customer groups to engage with: (i) Geospatial data and information management companies; Flood modeling vendor companies; (re-) insurance companies; mortgage lenders/banking industry; (ii) Emergency response organizations; humanitarian agencies; development aid organizations.Note that the team has already engaged with most of the above identified end users/customers. See for instance attached Letter of Interest from a potential industry sector. Also, the team collaborates with the UN WFP, the World Bank and FEMA on a regular basis.Potential users and customers include a large variety of actors operating in flood disaster response. The following list of selected development partners for Phase I and II provides an idea of the multitude of organizations that we expect to be using the proposed DSS: FEMA, USGS, NGA, StormCenter Communications Inc., Center for Space Research (CSR), JPL ARIA, World Bank, UN WFP, CEOS, Luxembourg Institute of Science and Technology (LIST)/ ESA, Louisiana Department of Transportation (LA DOT).

Technology Taxonomy Mapping:
(NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.) Analytical Methods Command & Control Data Fusion Data Modeling (see also Testing & Evaluation) Data Processing Display Image Processing Knowledge Management Models & Simulations (see also Testing & Evaluation) Software Tools (Analysis, Design)