Tree Canopy Cover - Falkowski

<div><div>ArcGIS Online referenced version of <a href='https://map.sagegrouseinitiative.com/wmts.xml' target='_blank' rel='nofollow ugc noopener noreferrer'>https://map.sagegrouseinitiative.com/wmts.xml</a></div><div>Other source info: <a href='https://map.sagegrouseinitiative.com/ecosystem/tree-cover/info?ll=43.4799,-110.7624' target='_blank' rel='nofollow ugc noopener noreferrer'>https://map.sagegrouseinitiative.com/ecosystem/tree-cover/info?ll=43.4799,-110.7624</a></div></div><div><br /></div><div>This product provides a high-resolution estimate of tree canopy cover on a per acre basis; It is intended to target conifer canopy cover, however, the method used detects non-conifer tree species in some situations. Therefore, users should ground truth results when making site-specific land management decisions. SWA is particularly good at detecting conifer trees in arid environments, although has known limitations. The SWA algorithm requires a minimum of 2-3 pixels in width for tree detection. Therefore, the minimum tree detection size using 1m spatial resolution NAIP imagery is 2-3m in diameter. Conifer tree detection accuracy decreases in mesic environments such as wetlands, riparian areas and mountainous zones where mixed deciduous and conifer tree diversity exists. This map provides an estimate of conifer cover on a per-acre basis based on a census of all trees, not exclusively encroaching trees.
Thematic raster data represents tree canopy cover (% cover per acre) in the following classes: less than 1% or absent; 1 - 4%; 4 - 10%; 10 - 20%; 20 - 50%; greater than 50%. Data are in 1m spatial resolution raster format at 4-bit pixel depth suitable for analysis in a GIS. The canopy cover product is derived from 1m 4-band NAIP imagery using a spatial wavelet analysis (SWA) algorithm implemented in MATLAB. NAIP image acquisition dates are as follows: CA, 2012; CO, 2013; ID, 2013; MT, 2013; NV, 2013; OR, 2012; UT, 2011. The extent of this raster product is that of the Sage-grouse range across the western USA. All datasets have a NAD83 UTM projected coordinate system.<br /></div>