Service Description: Forested cover classes only taken from the dataset below, available at:
https://conservancy.umn.edu/items/4af11311-4c03-4b10-9524-a1c81f211802.
This is a 15-meter raster dataset of a land cover and impervious surface classification for 2013-14, level two classification. The classification was created using a combination of multitemporal Landsat 8 data and LiDAR data with Object-based image analysis. By using objects instead of pixels we were able to utilize multispectral data along with spatial and contextual information of objects such as shape, size, texture and LiDAR-derived metrics to distinguish different land cover types. While OBIA has become the standard procedure for classification of high resolution imagery we found that it works equally well with Landsat imagery. For the objects classified as urban or developed, a regression model relating the Landsat greenness variable to percent impervious was developed to estimate and map the percent impervious surface area at the pixel level.
Service ItemId: 82a381695c0c436cbf4878271907d3a8
Has Versioned Data: false
Max Record Count: 2000
Supported query Formats: JSON
Supports applyEdits with GlobalIds: False
Supports Shared Templates: True
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Spatial Reference: 102100 (3857)
Initial Extent:
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Spatial Reference: 102100 (3857)
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Spatial Reference: 102100 (3857)
Units: esriMeters
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