20220111
11550400
1.0
FALSE
Select Treatments_Merge2_Layer "C:\Users\SG\Documents\ArcGIS\Projects\PC398 Burnpiles\PC398 Burnpiles.gdb\Treatments_Merge_Clip_1995_2021" "(Treatments_Merge2.YEAR > 1994 And Treatments_Merge2.YEAR < 2022) Or Treatments_Merge2.YEAR IS NULL Or Treatments_Merge2.YEAR = 0"
DeleteField "C:\Users\SG\Documents\ArcGIS\Projects\PC398 Burnpiles\PC398 Burnpiles.gdb\Treatments_Merge_Clip_1995_2021" Treatments_Merge2_DATE;Treatments_Merge2_YEAR;Treatments_Merge2_TREATMENT;Treatments_Merge2_source_id;Treatments_Merge2_source;Treatments_Merge2_agency;Fuels_Treatments_Piles_Crosswalk_Dist_Sev_Treatment_Category;Fuels_Treatments_Piles_Crosswalk_Dist_Sev_PIFRS_Pile_Type;Fuels_Treatments_Piles_Crosswalk_Dist_Sev_Disturbance_type_descr;Fuels_Treatments_Piles_Crosswalk_Dist_Sev_Severity_type_descript "Keep Fields"
DeleteField "ModelBuilder\Treatments_Merge_Clip_1995_2021 (3):Treatments_Merge_Clip_1995_2021" Treatments_Merge2_source_id "Delete Fields"
Rename "C:\Users\SG\Documents\ArcGIS\Projects\PC398 Burnpiles\PC398 Burnpiles.gdb\Treatments_Merge_Clip_1995_2021" "C:\Users\SG\Documents\ArcGIS\Projects\PC398 Burnpiles\PC398 Burnpiles.gdb\Treatments_Merge_CA_1995_2021" FeatureClass
Select "C:\Users\SG\Documents\ArcGIS\Projects\PC398 Burnpiles\PC398 Burnpiles.gdb\Treatments_Merge_CA_1995_2021" "C:\Users\SG\Documents\ArcGIS\Projects\PC398 Burnpiles\scratch.gdb\Treatments_Merge_CA_Select" #
CalculateField "C:\Users\SG\Documents\ArcGIS\Projects\PC398 Burnpiles\scratch.gdb\Treatments_Merge_CA_Select" Treatments_Merge2_YEAR 0 "Python 3" # Text NO_ENFORCE_DOMAINS
CalculateField "C:\Users\SG\Documents\ArcGIS\Projects\PC398 Burnpiles\scratch.gdb\Treatments_Merge_CA_Select" Treatments_Merge2_YEAR 1 "Python 3" # Text NO_ENFORCE_DOMAINS
Update "C:\Users\SG\Documents\ArcGIS\Projects\PC398 Burnpiles\scratch.gdb\Treatments_Merge_CA_Select" "C:\Users\SG\Documents\ArcGIS\Projects\PC398 Burnpiles\scratch.gdb\Treatments_Merge_Clip_2020_Erase" "C:\Users\SG\Documents\ArcGIS\Projects\PC398 Burnpiles\PC398 Burnpiles.gdb\Treatments_Merge_CA_Burn_1995_2021" BORDERS #
AddFields "C:\Users\SG\Documents\ArcGIS\Projects\PC398 Burnpiles\PC398 Burnpiles.gdb\Treatments_Merge_CA_Burn_1995_2021" "Acres DOUBLE # # # #"
CalculateGeometryAttributes "C:\Users\SG\Documents\ArcGIS\Projects\PC398 Burnpiles\PC398 Burnpiles.gdb\Treatments_Merge_CA_Burn_1995_2021" "Acres AREA_GEODESIC" # Acres GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]] "Same as input"
Treatments_Merge_CA_Burn_1995_2021
002
file://\\LAPTOP-9OCJPADC\C$\Users\SG\Documents\ArcGIS\Projects\PC398 Burnpiles\PC398 Burnpiles.gdb
Local Area Network
Geographic
GCS_WGS_1984
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.9.0'><WKT>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
20220111
20123200
20220111
20123200
Microsoft Windows 10 Version 10.0 (Build 19042) ; Esri ArcGIS 12.9.0.32739
Treatments Merge -Burned 1995-2021
Treatment areas burned with a RdNBR (realative burn severity) of moderate or high were attributed as Year=0.
PC398
All USFS, CalFire and Local fuels treatments and harvests 1995-2021. Burned areas are attributed as Year = 0.
File Geodatabase Feature Class
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
Treatments_Merge_CA_Burn_1995_2021
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
Treatments_Merge2_DATE
DATE
String
25
0
0
Treatments_Merge2_YEAR
YEAR
Integer
4
0
0
Treatments_Merge2_TREATMENT
TREATMENT
String
100
0
0
Treatments_Merge2_source
source
String
50
0
0
Treatments_Merge2_agency
agency
String
30
0
0
Fuels_Treatments_Piles_Crosswalk_Dist_Sev_Treatment_Category
Treatment_Category
String
255
0
0
Fuels_Treatments_Piles_Crosswalk_Dist_Sev_PIFRS_Pile_Type
PIFRS_Pile_Type
String
255
0
0
Fuels_Treatments_Piles_Crosswalk_Dist_Sev_Disturbance_type_descr
Disturbance type description
String
255
0
0
Fuels_Treatments_Piles_Crosswalk_Dist_Sev_Severity_type_descript
Severity type description
String
255
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20220111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