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Summary | Evaluation of Method | Project Completion Report | Interactive Map | Contact
1 Total area of the Connecticut region is 3,296,015 acres. 2 Total area of the New York region is 306,052 acres. 3 Total area of LIS Study region is 3,602,067 acres (excludes the water area of the Sound). Additionally, you can Download a table of IS estimates by watershed in pdf format.
Understanding the degree and location of impervious surfaces and limiting the amount of impervious surface in a watershed is an important component of overall watershed management. Because of this, there is a need for a consistent and replicable technique to calculate easily and quickly watershed imperviousness from readily available and cost effective remote sensing information that achieves an acceptable level of accuracy. The research reported here strives to attain that level of consistency and accuracy in regards to developing a temporal set of impervious surface estimations. The impervious surface estimates were derived through subpixel classification of Landsat image pixels that cover four dates spanning a 17 year period for the Connecticut and New York portions of the Long Island Sound watershed. The report, available below, details the sub-pixel classification procedure, impervious results for each of the four dates at a sub-regional watershed level, and an assessment of their accuracy. Overall the Sub-pixel Classifier technique is capable of producing adequate results when compared to actual impervious surfaces derived from planimetric reference data. It has been shown that the level of error decreases as the size of the summary area increases. An advantage of this technique is the ability to identify the specific location and level of imperviousness within an analysis unit such as a watershed as opposed to only summarizing the amount of IS within an analysis unit. A limitation of the Sub-pixel Classifier, however, is that it does not detect MOIs below a 20 percent threshold increasing potential error in regions of lower imperviousness. Inclusion of land cover information for developed pixels to derive a 10 percent impervious class and also to mask erroneously detected impervious surfaces (i.e., bare fields and barren land) was a necessary step to generate a more representative estimate of impervious surfaces and to force the impervious surface information to be compatible with the land cover data. Used together, these data will improve the ability of coastal resource and land use managers to be able to identify the location and change in land cover and estimated impervious surfaces information summarized over a given analysis unit and will provide a significant advantage for the monitoring and protection of the coastal resources within Long Island Sound.
Click the image below to go to the Interactive Map page which will allow you to explore the impervious surface estimates in map form.
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