Emily H. Wilson
Extension Educator/
Storrs Mansfield
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Scholarly Contributions
178 Scholarly Contributions
Development of a geospatial model to quantify, describe, and map urban growth
2003
Research Type: Journal Article
Quantifying and describing urbanizing landscapes in the Northeast United States
2002
Research Type: Journal Article
Detection of forest harvest type using multiple dates of Landsat TM imagery
2002
Research Type: Journal Article
Forest Change Experiments Using Multiple Dates of Landsat Thematic Mapper Imagery for Forest Inventory and Ecological Applications
2000
Research Type: Other Scholarly Work
Remote sensing graduate research in U.S. and Canadian forestry schools: and updated survey (1998)
Research Type: Conference Proceedings
A comparison of land use and land cover change detection methods
Research Type: Conference Proceedings
Classification of forest harvest type and forest cover type determination using single and multi-date Landsat imagery
Research Type: Conference Proceedings
Characterization of coastal wetland systems using multiple remote sensing data types and analytical techniques
Research Type: Conference Proceedings
Tidal wetland classification from Landsat imagery using an integrated pixel-based and object-based classification approach
Research Type: Conference Proceedings
A forest fragmentation index to quantify the rate of forest change
Research Type: Conference Proceedings
Use of LIDAR data to aid in discriminating and mapping plant communities of the lower Connecticut River: preliminary results
Research Type: Conference Proceedings
A comparison of six northern Maine change detection maps derived from multiple Landsat TM images
Research Type: Conference Proceedings
Temporal characterization of Connecticut's landscape: methods, results, and applications
Research Type: Conference Proceedings
Coastal marsh characterization using satellite remote sensing and in situ radiometry
Research Type: Conference Proceedings
Characterization of forest fragmentation and urban sprawl using time sequential Landsat imagery
Research Type: Conference Proceedings
Connecticut NEMO: Multi-faceted geospatial support for local land use decision makers
Research Type: Conference Proceedings