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Tree canopy feature class developed as part of the Vermont High-Resolution Land Cover mapping project. |
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Tree canopy feature class developed as part of the Vermont High-Resolution Land Cover mapping project. |
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University of Vermont Spatial Analysis Laboratory in collaboration with Vermont Center for Geographic Information. |
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5000 |
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[] |
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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Tree canopy was derived from 2016 high-resolution remotely sensed data. Object-based image analysis techniques (OBIA) were employed to extract potential tree canopy and trees using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:3000 and all observable errors were corrected.The reviewed polygons were subjected to a second round of OBIA to differentiate deciduous and coniferous tree canopy</SPAN></P></DIV></DIV></DIV> |
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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>SAL, VCGI, and the State of VT make no representations of any kind, including but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data. There are no access constraints</SPAN></P></DIV></DIV></DIV> |
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| title:
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TreeCanopy_subshed_Uni_Diss |
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["Tree Canopy","2016","Vermont","Tree Canopy Assessment"] |
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en-US |
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150000000 |
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