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mn_landcover_impervious_2013v2_tiles (Map Service)


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Current Version: 10.81

Service Description:

This is a 15-meter (UTM15 NAD83 originally) raster dataset of a land cover and impervious surface classification for 2013, 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.

This dataset was funded by the the Minnesota Environment and Natural Resources Trust Fund (ENRTF).

See: https://gisdata.mn.gov/dataset/base-landcover-minnesota



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Layers: Tables: Description:

This is a 15-meter (UTM15 NAD83 originally) raster dataset of a land cover and impervious surface classification for 2013, 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.

This dataset was funded by the the Minnesota Environment and Natural Resources Trust Fund (ENRTF).

See: https://gisdata.mn.gov/dataset/base-landcover-minnesota



Copyright Text: Remote Sensing and Geospatial Analysis Lab, University of Minnesota

Spatial Reference:
102100

Single Fused Map Cache: true

Capabilities: Map,TilesOnly

Tile Info:
Initial Extent:
Full Extent:
Min Scale: 5.91657527591555E8
Max Scale: 4513.988705

Min LOD: 0
Max LOD: 17

Units: esriMeters

Supported Image Format Types: PNG

Export Tiles Allowed: false
Max Export Tiles Count: 100000

Document Info: