Remote Sensing & GIS

The picture at the top of the page is a Normalized Difference Vegetation Index image that I created from Landsat TM data. Roughly speaking, the image depicts the amount of "greenness" or healthy vegetation: Increasing shades of gray from black to white corresponds to an increasing amount of "greenness" respectively. Follow this link to learn more about this project and to see numerous more images.

One can use GIS/Remote Sensing software to investigate things like how surface topography may influence spatial patterns of land cover. Follow this like to see a "proof of concept" case study example of the San Diego area using a specific software.

The Aral Sea has been "shrinking" during the latter half of this century. Follow this link to see some "proof of concept" examples of using map algebra to create change detection maps for the Aral Sea.

I was fortunate to be a part of a space-borne lidar system design team project called "VECTOR" in 1997. As a team member, I communicated and worked effectively, aiding specifically in the research of the optics for the cost effective and compact satellite design. The overall project is no longer viewable online but you can see some of my slides regarding the optics here.

An individual project I undertook in 1997 was to examine and experiment with the integration of aspects of a spatially dynamic buffer for riparian zones using various GIS platforms. Unfortunately, I was unable to obtain DEM data in time so the products depicted here are less functional than intended, but the concept is a good idea. The coverage data I used during this project was obtained from the Alaska National Park Service Geospatial Clearinghouse.

This page is currently under construction, as I am trying to put more examples of my work and other projects in online form. Please feel free to email me at sjbrines@umich.edu with questions concerning these or current projects... Or use my web Response Form. Thanks!

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