Geographic Information Systems and Remote Sensing

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GeographicInformationSystems and Remote Sensing

• Tools to help analyze, visualize,
• understand and manage spatial data

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What will be covered

• GIS and RS Applications in CRI
• National GeoSpatial Databases
• Data Conversion Considerations
• State-of-the-Science GIS Tools

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GeoSpatial Data
Data Maps
Images Geographic Information Systems
Remote Sensing
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Satellite Image Resolution
80m
Landsat MSS
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Land Cover Classification
Land Cover Classification
Hartford, CT
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Land Cover Classification
UConn IKONOS
UConn IKONOS Classification

• A closer look reveals that the land cover map has
  classes such as Football field (yellow), Track
  (black), UConn End Zone (blue), and Tennis Courts
  (purple).
• These classes were all identified by spatial
  attributes, not spectral.

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Applications

• Data retrieval and sharing
• Data integration
• Data measurements
• Data visualizations
• Data analysis and modeling

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Data Retrieval and Inquiry
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Internal Data Sharing
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External Data Sharing
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Applications

• Data retrieval and sharing
• Data integration
• Data measurements
• Data visualizations
• Data analysis and modeling

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Data Integration
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Data Integration
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Applications

• Data retrieval and sharing
• Data integration
• Data measurements
• Data visualizations
• Data analysis and modeling

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Data Measurements
What is within 150 of the stream?
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Creating Buffers
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Applications

• Data retrieval and sharing
• Data integration
• Data measurements
• Data visualizations
• Data analysis and modeling

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Data Visualizations
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Data Visualizations
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Data Visualizations
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Data Visualizations
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Applications

• Data retrieval and sharing
• Data integration
• Data measurements
• Data visualizations
• Data analysis and modeling

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Data Analysis and Modeling
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Data Analysis and Modeling
CRI Datasets
Convert to grids
Analyze and produce derived / intermediate
datasets
Final map
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Data Analysis and Modeling
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National Datasets

• Land Cover
• Soils
• Water Resources Wetlands and Hydrography
• Unique and Fragile
• Open Space

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National DatasetsData Conversion Issues

• Formats
• Projections
• Metadata
• Is the data adequate for your application
• Whats the date of the dataset
• Whats the classification system
• What was the source data

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Data Preparation
NED
Reformat
Project
Clip Recode
GIS Database
NHD
Reformat
Project
Clip Recode
Soils
Reformat
Project
Clip Recode
HUCs
Reformat
Project
Clip Recode
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Land Cover
National Land Cover Dataset
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NLCD
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NLCD
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Land Cover
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(No Transcript)
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NLCD
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NLCD
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Soils - SSURGO
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Soils - SSURGO
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Soils SSURGO - Metadata
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Soils - STATSGO
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Soils - STATSGO
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Water Resources
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Water Resources
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Water Resources
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NHD technical online technical resources
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NHD ArcView Toolkit
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HUC
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HUC 12,000,000
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HUC 1250,000
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Wetlands
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Wetlands
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Wetlands
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Wetlands
1100,000 scale USGS topo names
124,000 scale USGS topo names
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FEMA Flood Maps
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FEMA
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FEMA
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FEMA
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FEMA
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NED
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NED
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NED
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NALC
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NALC
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Some Final Thoughts
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(No Transcript)
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Development of a Model to Quantify and Map Urban
Growth

• Emily H. Wilson, James D. Hurd, Daniel L. Civco
• Center for Land Use Education and Research
  (CLEAR)
• Department of Natural Resources Management
  Engineering
• The University of Connecticut
• U-4087, Room 308, 1376 Storrs Road
• Storrs, CT 06269-4087

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(No Transcript)
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For More Info
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Upcoming Training Opportunities

• ISAT October 24 25
• Connecticut
• Using the Impervious Surface
• Analysis Tool
• How to develop IS coefficients
• GIS and RS - March (dates TBD)
• NOAA Coastal Services Center, Charleston, SC
• A hands-on introduction