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The Namibia Flood Dashboard Satellite Acquisition and Data Availability through the Namibia Flood Dashboard

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Title: The Namibia Flood Dashboard Satellite Acquisition and Data Availability through the Namibia Flood Dashboard


1
The Namibia Flood Dashboard Satellite
Acquisition and Data Availability through the
Namibia Flood Dashboard
Matt Handy NASA Goddard Space Flight Center
NOAA Satellite - April 11, 2013 - College
Park MD
2
The Problem
  • Severe flooding in Namibia (south-western Africa)
    with little warning
  • Existing flood warning models are not very
    precise
  • - Advance warning would reduce loss of life
    and property
  • NASAs EO-1 mission research stakeholders want
    to test the application of SensorWebs in a
    decision support tool for disaster management
  • United Nations coordinated a partnership between
    stakeholders

3
Introduction
  • What is a SensorWeb?
  • Takes disparate data feeds and unites them in
    cohesive display
  • Used to make analyzing and responding to large
    datasets easier
  • Area of research to EO-1 team for use in analysis
    of image products
  • Namibia Flood Dashboard is an example of a
    SensorWeb, and represents an extension of a
    decade of EO-1 research
  • Project Objectives
  • Aggregate information sources gt better
    situational awareness / decision making
  • Integrate and compare data feeds -gt enhanced
    analysis capability
  • Disseminate information -gt wider availability of
    data products and analysis
  • Rapid configuration and deployment-gt software can
    be rapidly applied to diverse situations

4
Architecture
Cloud Attached Storage 120 TB
The Cloud OCC MATSU Cloud (Chicago)
Hot Copy of EO-1 Data Products
Flood Dashboard Layers Data Sources
The Flood Dashboard Instance (primary runs
services) (Virtual Machine)
The Flood Dashboard Instance (secondary 1 of n
serves data only) (Virtual Machine)
Dependent Services (Web Coverage Processing
Service) (Virtual Machine)
Internet
FTP Data Ingest
HTTP Proxy
Users
EO-1 Image Upload
5
Operations Concept
NASA / EO-1 Team Department of Hydrology,
Namibia Open Cloud Consortium Joint Research
Center (JRC) / Global Disaster Alert and
Coordination System (GDACS) University of
Maryland
6
Tool Overview
  • Bulletin System (current and archive)
  • Google Maps/Earth powered geospatial data display
  • River gauge station graphing and comparison
  • Automated EO-1 Tasking (plans for more spacecraft)

7
Geospatial Display(The Big Map)
8
EO-1 Observation Request Tasking
  • Tasking request generated based on alerts
  • Request either acted upon or not based on
    priorities
  • Goal task multiple satellites for specific
    observations and bring more sensors into web

9
EO-1 Tasking - Architecture
10
Tool Capabilities
  • Automated EO-1 Tasking
  • Rapid delivery of technical information through
    bulletins
  • Access to EO-1 Advanced Land Imager (ALI) data
    products
  • Access to other satellite data products
  • Correlation with infrastructure details
  • Graphing and comparison of river levels
  • Plans to allow even more powerful comparisons,
    such as retrieval of satellite products based on
    ground data comparison

11
River Gauge StationsStart with manual Yardstick
Measurements
12
Map LayersInfrastructure, MODIS Flood Maps,
Flood Classified Images
  • Establish trust in remote sensing models (ground
    validated)
  • Integrate trusted models into decision process
  • Goal better, faster decisions

13
Area of StudyReeds Flooded Region
  • Determining flooded area is complicated by
    vegetation
  • Satellite sensors may do better job than visual
    spot-checks
  • Ground validation used to refine models

14
Future Plans
  • Enable direct daily uplink of river levels
  • Add hydrograph to satellite cross-indexing of
    data products
  • Add Open Street Map (OSM) layer display to
    supplement Google Maps / Earth
  • Add Tropical Rainforest Measuring Mission (TRMM)
    Precipitation Accumulation Calculator
  • (Stretch goal) Direct social impact
  • i.e. tracking and response to hippo attacks

15
Summary
  • Dashboards for SensorWebs allow flexibility and
    rapid integration
  • Cloud technology allows huge datasets, rapid
    processing, and improved reliability
  • SensorWebs will continue to improve satellite
    tasking
  • Global benefit for many remote sensing
    applications

16
A Last ThoughtOur technology makes a big
difference in peoples lives!
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