1 / 9

HyDis: Hydrologic Data and Information System

HyDis: Hydrologic Data and Information System. Prof. Sudha Ram Dongwon Lee Yousab Hwang Vijay Khatri Department of Management Information Systems Sponsor: NASA. Motivation. Huge amounts of hydrology-related data are collected by diverse agencies:

jameslindsay
Download Presentation

HyDis: Hydrologic Data and Information System

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. HyDis: Hydrologic Data and Information System Prof. Sudha Ram Dongwon Lee Yousab Hwang Vijay Khatri Department of Management Information Systems Sponsor: NASA

  2. Motivation • Huge amounts of hydrology-related data are collected by diverse agencies: • USGS, USDA, EPA, NOAA, various NASA EOSDIS and DAACs • Data collected can help understand land-surface processes

  3. Challenges • Modern hydrologic and water resource research scientists need: • Access to widely distributed data • To perform transformations and manipulation of data to assemble in appropriate format • To be familiarized with varied format and structure of each provider • To perform pre-processing of data • Information about atmospheric and terrestrial components of earth system at several spatial and temporal resolutions

  4. Objectives • Make comprehensive hydrologic and water resources data products and services available to scientists • Tailor information to user’s needs

  5. Functions of HyDis Understand query made by user Locate the most suitable data sets Retrieve data Reformat and present data

  6. HyDis Components Science Data Management Module (SDMM) Account for the spatial relationships between various data products Resource Discovery Module (RDM) Perform goal oriented discoveries • Semantic Model • Resource Discovery Agents Distributed Digital Resources (DDR) Existing and anticipated databases and products • Satellite Remote Sensing Data • Airborne Remote Sensing Data • Land Surface Data • Hydrologic/ Meteorological Networks Data

  7. System Architecture

  8. Benefits • Provide data tailored to individual needs of scientists • Develop information management framework that is adaptive to remote sensing products • Intelligent information retrieval

  9. Partners • Department of Management Information Systems • Department of Hydrology and Water Resources • NASA • NOAA-GCIP • NOAA-NWS • USGS • NSF

More Related