Web-Based GIS for Natural Habitat Monitoring and Management
This project, led by the Department of Geography at San Diego State University, focuses on developing web-based Geographic Information Services (GIS) for environmental monitoring. Key components include an interactive mapping platform utilizing ESRI’s ArcIMS, a data warehouse for managing metadata in XML, and tools for remote sensing image analysis. Case studies, particularly in Mission Trail Regional Park, demonstrate the integration of GPS data and imagery for improved habitat management. Future enhancements aim at mobile GIS solutions and deeper user engagement.
Web-Based GIS for Natural Habitat Monitoring and Management
E N D
Presentation Transcript
NASA ARC Project Web-based Geographic Information Services and Analytic Tools for Natural Habitat Monitoring and Management Department of Geography, San Diego State University Ed Almanza & Associates
Web-based GIServices • Data Warehouse (Catalog & Metadata) • Interactive Internet Mapping Facilities (Internet Map Servers) • On-line Analytical Tool (Java applets) for Remote Sensing Images and Change Detections.
Web-Site: • Http://map.sdsu.edu/arc • Required Web Browser: Java applets capability (IE 5.0 or Netscape 4.0 later) • Suggested Screen Resolution 1024x768
Project Overview • Create a prototype framework for Web-based GIServices in Environmental Monitoring. • Explore different Internet technologies. • Integrate/Customize different software and programs together. • Case Study Areas: Mission Trail Regional Park (MTRP) with ADAR and IKONOS images.
Data Warehouse • Use ArcCatalog to create metadata in XML for ADAR and IKONOS images.
Data Warehouse • Create two version of metadata: FDGC Standard and Simple version (with the most essential elements). • Use HTTP to allow users to download images.
Interative Internet Mapping • Apply ESRI’s ArcIMS software package to create a Internet Map Server on Microsoft Window 2000 Server with IIS 5.0.
Interative Internet Mapping • Use JavaScript to create dynamic display of remote sensing images with different map layers.
GPS / Remote Sensing Images Data Integration • GPS data collected by MTRP Park Rangers with their Trimble GPS units and Pathfinder Office software. • We converted the GPS data sets to Shapefiles and integrate them with our ArcIMS server.
On-line Analytical Tools • Java Applets (Java Advanced Imaging API and Java 2D API) • JavaScript (dynamic Web display, communicating with Internet Map Servers) • Existing Software (Panoramic Viewer).
Image Processing • Image Filtering • Image Viewing
Image Magnifier • Panoramic View
Key Technologies • Java Programming (cross-platform) • XML (Extensible Markup Language) for metadata and communication with Internet Map Servers (ArcIMS – ArcXML). • Internet Map Server (ESRI’s ArcIMS, AutoDesk’s MapGuide, INTEGRAPH’s GeoMedia Web Map, SmallWorld’s Internet Application Servers, etc.)
Internet Map Server • Three-Tie Architecture • http://map.sdsu.edu Client (Web browser) + Java applets Internet Map Server ArcIMS Web Server map.sdsu.edu Internet Client (Web browser) + IMS Viewer Client (Web browser) Regional Database (GIS)
Expert Review and User Testing • Expert review and questionnaire • Tutorial • Two user scenarios: • Equestrian Facility Development • BMX site and Trails Management • Participants: two MTRP rangers, one graduate student, one GIS specialist (former graduate student). • Location: MTRP visitor center and CESEAR lab.
Preliminary Findings • Easy to use (comparing to other GIS/Remote Sensing software) • Need to clarify some information in metadata and IMS tools (terminology from SANDAG and FGDC). • Need to clarify temporal or seasonal information about remote sensing images and GIS data sets. • These tools will be a good information resource for MTRP visitors. • IMS: Difficult to view/query data layer while RS image is in the background. • ADAR and IKONOS magnifier tools could be added into the Data Warehouse section.
Contacts: • Ming Tsou <mtsou@mail.sdsu.edu> • Douglas A. Stow <stow@mail.sdsu.edu> • Ed Almanza <superpark@igc.org> • John Kaiser <jkaiser@typhoon.sdsu.edu > • Liang Guo <guo@rohan.sdsu.edu >