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This polyline shapefile contains hydrologic flow paths derived from LiDAR at 1.3 foot resolution with post-burn change in sediment and debris flow potential attributed. These flow paths have an average watershed area of 43 acres. This dataset has a one-to-one relationship with the watersheds shapefile. The post-burn change in sediment and debris flow potential attributes are named CS_avg and DF_avg. The SC_avg attribute is the average change in post-wildfire sedimentation with values that range between 1 and 100 with 100 being the highest change in sediment. The DF_avg is the average debris flow potential with values ranging between 1 and 100 with 100 being the highest debris flow potential.
This polygon shapefile contains high-resolution watersheds derived from LiDAR at 1.3 foot resolution with post-burn change in sediment and debris flow potential attributed. The purpose of this dataset is to highlight post-burn sediment or debris flow watersheds. This feature class contains 7 attributes, CS_out, CS_avg, DF_impact, DF_pot_avg and DF_ratio. The CS_out attribute is the change in post-wildfire sediment at the outlet of the watershed with values ranging between 0 and 100 with 100 being the highest amount of change. The CS_avg attribute is the average change in post-wildfire within the watershed with values ranging between 0 and 100 with 100 being the highest amount of change. The DF_impact attribute is the potential impact to the watershed based on average debris flow potential and the area ratio of high debris flow potential. DF_pot_avg attribute is the average debris flow potential within the watershed with values ranging between 0 and 100 with 100 being the highest potential. These values can be skewed based on the amount of pixels with debris flow potential within the watershed. The DF_ratio attribute is the ratio between the area of high potential debris flow and the area of the watershed.
This polygon shapefile contains the outlines of tree canopies derived from a LiDAR Digital Surface Model collected (March, 2021). The canopy perimeters in this dataset are trees within 75 feet from a road or trail with low vigor on steep hillslopes and are greater than 18 feet tall. This feature class contains multiple vegetation vigor indexes derived from four-band imagery, height of the tree, and the slope on which the tree is located. The purpose of this feature class is to highlight areas where low-vigor trees could impact trails and roads. This feature class contains 9 attributes: dsmheight, treeht, band4, MGRVI, NDVI, TGI, aspect, slope, and tree_rank. The dsmheight attribute is the highest point of the tree (ft) with terrain added. The treeht attribute is the highest point of the tree (ft) with terrain removed. This attribute was used to rank potential tree impact. The band4 attribute is the average Triangulated Near-Infrared Index with values that range between 1 to 100 with 100 being the highest potential vigor. The MGRVI attribute is the average Modified Green Ratio Vegetation Index with values that range between 1 and 100 with 100 being the highest potential vigor. The NDVI attribute is the average Normalized Difference Vegetation Index with values that range between 1 and 100 with 100 being the highest vigor. The TGI attribute is the average Triangulated Greenness Index with values that range between 1 and 100 with 100 being the highest potential vigor. The aspect attribute is the dominant aspect in degrees that the tree is on. The slope attribute is the average slope (%) that the tree is on. The tree_rank attribute is potential impact ranking with values ranging between 1 and 100 with 100 being the highest rank.
This polygon shapefile contains reclamation zones derived from the reclamation optimization analysis (rec_waterbody_percentiles.tif) with each polygon ranked based on its potential for reclamation and its post-wildfire impacts. The attribute rec_rank is the reclamation potential ranking with 100 being the highest ranking.
This polygon shapefile contains reclamation zones derived from the reclamation optimization analysis (rec_streams_percentiles.tif) with each polygon ranked based on its potential for reclamation and its post-wildfire impacts. The attribute rec_rank is the reclamation potential ranking with 100 being the highest ranking.
This polygon shapefile contains reclamation zones derived from the reclamation optimization analysis (rec_CR_percentiles.tif) with each polygon ranked based on its potential for reclamation and its post-wildfire impacts. The attribute rec_rank is the reclamation potential ranking with 100 being the highest ranking.
This polygon shapefile contains reclamation zones derived from the reclamation optimization analysis (rec_roadspercentiles.tif) with each polygon ranked based on its potential for reclamation and its post-wildfire impacts. The attribute rec_rank is the reclamation potential ranking with 100 being the highest ranking.
California State Park roads and trails. The data are stored in an ESRI geodatabase and employ subtypes, each with coded value domains. Subtypes are based on a road and trail classification similar to the US Census Bureau TIGER files. This layer currently includes 5 subtypes based on the RouteClass field: 0-Unknown, 5-Local Road, 6-State Park Road, 7-State Park Trail, 8-Other Agency Trail, and 9-Non-system Route. Each is a geodatabase subtype with it own field domains. See the Document "Data Model for Cal State Parks Road & Trail GIS Layers" for details.
The potential structure footprint polygon footprints were derived from the LiDAR terrain information captured March, 2021 at a resolution of 1.3 feet. The structure footprints dataset contains all potential structures greater than 75 square feet. This feature class contains two attributes: arearatio and ptsratio. The arearatio attribute is the ratio between the perimeter of the structure and a perimeter of a circle with the same area. This attribute can be used to investigate how irregular a structure footprint is for filtering purposes. The ptsratio attribute is the ratio between the number of vertices and perimeter length for a footprint.