20250117
08544900
1.0
FALSE
file://\\igskmncnfs016\mtbsfs1\temp\kbhattarai\MTBS\MTBS_QAQCs\Bi_weekly_QAQC\2022_fires\2024_1st_Qrelease\Data_Prep\fire_perims\shapefile4MTBS\mtbs_1984_2022.shp
Local Area Network
mtbs_1984_2022
002
0.000
Geographic
GCS_North_American_1983
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/10.5'><WKT>GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4269]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>11258999068426.238</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.9831528411952133e-009</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4269</WKID><LatestWKID>4269</LatestWKID></GeographicCoordinateSystem>
CopyFeatures M:\rdas_change_detection\ancillary\mtbs_shape_templates\new_templates_04082020\conus_fire_perim.shp M:\temp\kbhattarai\kbhattarai\MTBS_QA_Data_Release\ETD_Review\4th_release_2023\Data_prep\Fire_perims\1984\1984_mtbs_perims_DD.shp # # # #
Merge 1984_mtbs_perims_DD;1985_mtbs_perims_DD;1986_mtbs_perims_DD;1987_mtbs_perims_DD;1988_mtbs_perims_DD;1989_mtbs_perims_DD;1990_mtbs_perims_DD M:\temp\kbhattarai\kbhattarai\MTBS_QA_Data_Release\ETD_Review\4th_release_2023\Data_prep\Fire_perims\1984_1990.shp "Event_ID "Event_ID" true true false 254 Text 0 0 ,First,#,1984_mtbs_perims_DD,Event_ID,-1,-1,1985_mtbs_perims_DD,Event_ID,-1,-1,1986_mtbs_perims_DD,Event_ID,-1,-1,1987_mtbs_perims_DD,Event_ID,-1,-1,1988_mtbs_perims_DD,Event_ID,-1,-1,1989_mtbs_perims_DD,Event_ID,-1,-1,1990_mtbs_perims_DD,Event_ID,-1,-1;irwinID "irwinID" true true false 254 Text 0 0 ,First,#,1984_mtbs_perims_DD,irwinID,-1,-1,1985_mtbs_perims_DD,irwinID,-1,-1,1986_mtbs_perims_DD,irwinID,-1,-1,1987_mtbs_perims_DD,irwinID,-1,-1,1988_mtbs_perims_DD,irwinID,-1,-1,1989_mtbs_perims_DD,irwinID,-1,-1,1990_mtbs_perims_DD,irwinID,-1,-1;Incid_Name "Incid_Name" true true false 254 Text 0 0 ,First,#,1984_mtbs_perims_DD,Incid_Name,-1,-1,1985_mtbs_perims_DD,Incid_Name,-1,-1,1986_mtbs_perims_DD,Incid_Name,-1,-1,1987_mtbs_perims_DD,Incid_Name,-1,-1,1988_mtbs_perims_DD,Incid_Name,-1,-1,1989_mtbs_perims_DD,Incid_Name,-1,-1,1990_mtbs_perims_DD,Incid_Name,-1,-1;Incid_Type "Incid_Type" true true false 254 Text 0 0 ,First,#,1984_mtbs_perims_DD,Incid_Type,-1,-1,1985_mtbs_perims_DD,Incid_Type,-1,-1,1986_mtbs_perims_DD,Incid_Type,-1,-1,1987_mtbs_perims_DD,Incid_Type,-1,-1,1988_mtbs_perims_DD,Incid_Type,-1,-1,1989_mtbs_perims_DD,Incid_Type,-1,-1,1990_mtbs_perims_DD,Incid_Type,-1,-1;Map_ID "Map_ID" true true false 10 Long 0 10 ,First,#,1984_mtbs_perims_DD,Map_ID,-1,-1,1985_mtbs_perims_DD,Map_ID,-1,-1,1986_mtbs_perims_DD,Map_ID,-1,-1,1987_mtbs_perims_DD,Map_ID,-1,-1,1988_mtbs_perims_DD,Map_ID,-1,-1,1989_mtbs_perims_DD,Map_ID,-1,-1,1990_mtbs_perims_DD,Map_ID,-1,-1;Map_Prog "Map_Prog" true true false 254 Text 0 0 ,First,#,1984_mtbs_perims_DD,Map_Prog,-1,-1,1985_mtbs_perims_DD,Map_Prog,-1,-1,1986_mtbs_perims_DD,Map_Prog,-1,-1,1987_mtbs_perims_DD,Map_Prog,-1,-1,1988_mtbs_perims_DD,Map_Prog,-1,-1,1989_mtbs_perims_DD,Map_Prog,-1,-1,1990_mtbs_perims_DD,Map_Prog,-1,-1;Asmnt_Type "Asmnt_Type" true true false 254 Text 0 0 ,First,#,1984_mtbs_perims_DD,Asmnt_Type,-1,-1,1985_mtbs_perims_DD,Asmnt_Type,-1,-1,1986_mtbs_perims_DD,Asmnt_Type,-1,-1,1987_mtbs_perims_DD,Asmnt_Type,-1,-1,1988_mtbs_perims_DD,Asmnt_Type,-1,-1,1989_mtbs_perims_DD,Asmnt_Type,-1,-1,1990_mtbs_perims_DD,Asmnt_Type,-1,-1;BurnBndAc "BurnBndAc" true true false 10 Long 0 10 ,First,#,1984_mtbs_perims_DD,BurnBndAc,-1,-1,1985_mtbs_perims_DD,BurnBndAc,-1,-1,1986_mtbs_perims_DD,BurnBndAc,-1,-1,1987_mtbs_perims_DD,BurnBndAc,-1,-1,1988_mtbs_perims_DD,BurnBndAc,-1,-1,1989_mtbs_perims_DD,BurnBndAc,-1,-1,1990_mtbs_perims_DD,BurnBndAc,-1,-1;BurnBndLat "BurnBndLat" true true false 10 Text 0 0 ,First,#,1984_mtbs_perims_DD,BurnBndLat,-1,-1,1985_mtbs_perims_DD,BurnBndLat,-1,-1,1986_mtbs_perims_DD,BurnBndLat,-1,-1,1987_mtbs_perims_DD,BurnBndLat,-1,-1,1988_mtbs_perims_DD,BurnBndLat,-1,-1,1989_mtbs_perims_DD,BurnBndLat,-1,-1,1990_mtbs_perims_DD,BurnBndLat,-1,-1;BurnBndLon "BurnBndLon" true true false 10 Text 0 0 ,First,#,1984_mtbs_perims_DD,BurnBndLon,-1,-1,1985_mtbs_perims_DD,BurnBndLon,-1,-1,1986_mtbs_perims_DD,BurnBndLon,-1,-1,1987_mtbs_perims_DD,BurnBndLon,-1,-1,1988_mtbs_perims_DD,BurnBndLon,-1,-1,1989_mtbs_perims_DD,BurnBndLon,-1,-1,1990_mtbs_perims_DD,BurnBndLon,-1,-1;Ig_Date "Ig_Date" true true false 8 Date 0 0 ,First,#,1984_mtbs_perims_DD,Ig_Date,-1,-1,1985_mtbs_perims_DD,Ig_Date,-1,-1,1986_mtbs_perims_DD,Ig_Date,-1,-1,1987_mtbs_perims_DD,Ig_Date,-1,-1,1988_mtbs_perims_DD,Ig_Date,-1,-1,1989_mtbs_perims_DD,Ig_Date,-1,-1,1990_mtbs_perims_DD,Ig_Date,-1,-1;Pre_ID "Pre_ID" true true false 254 Text 0 0 ,First,#,1984_mtbs_perims_DD,Pre_ID,-1,-1,1985_mtbs_perims_DD,Pre_ID,-1,-1,1986_mtbs_perims_DD,Pre_ID,-1,-1,1987_mtbs_perims_DD,Pre_ID,-1,-1,1988_mtbs_perims_DD,Pre_ID,-1,-1,1989_mtbs_perims_DD,Pre_ID,-1,-1,1990_mtbs_perims_DD,Pre_ID,-1,-1;Post_ID "Post_ID" true true false 254 Text 0 0 ,First,#,1984_mtbs_perims_DD,Post_ID,-1,-1,1985_mtbs_perims_DD,Post_ID,-1,-1,1986_mtbs_perims_DD,Post_ID,-1,-1,1987_mtbs_perims_DD,Post_ID,-1,-1,1988_mtbs_perims_DD,Post_ID,-1,-1,1989_mtbs_perims_DD,Post_ID,-1,-1,1990_mtbs_perims_DD,Post_ID,-1,-1;Perim_ID "Perim_ID" true true false 254 Text 0 0 ,First,#,1984_mtbs_perims_DD,Perim_ID,-1,-1,1985_mtbs_perims_DD,Perim_ID,-1,-1,1986_mtbs_perims_DD,Perim_ID,-1,-1,1987_mtbs_perims_DD,Perim_ID,-1,-1,1988_mtbs_perims_DD,Perim_ID,-1,-1,1989_mtbs_perims_DD,Perim_ID,-1,-1,1990_mtbs_perims_DD,Perim_ID,-1,-1;dNBR_offst "dNBR_offst" true true false 10 Long 0 10 ,First,#,1984_mtbs_perims_DD,dNBR_offst,-1,-1,1985_mtbs_perims_DD,dNBR_offst,-1,-1,1986_mtbs_perims_DD,dNBR_offst,-1,-1,1987_mtbs_perims_DD,dNBR_offst,-1,-1,1988_mtbs_perims_DD,dNBR_offst,-1,-1,1989_mtbs_perims_DD,dNBR_offst,-1,-1,1990_mtbs_perims_DD,dNBR_offst,-1,-1;dNBR_stdDv "dNBR_stdDv" true true false 10 Long 0 10 ,First,#,1984_mtbs_perims_DD,dNBR_stdDv,-1,-1,1985_mtbs_perims_DD,dNBR_stdDv,-1,-1,1986_mtbs_perims_DD,dNBR_stdDv,-1,-1,1987_mtbs_perims_DD,dNBR_stdDv,-1,-1,1988_mtbs_perims_DD,dNBR_stdDv,-1,-1,1989_mtbs_perims_DD,dNBR_stdDv,-1,-1,1990_mtbs_perims_DD,dNBR_stdDv,-1,-1;NoData_T "NoData_T" true true false 10 Long 0 10 ,First,#,1984_mtbs_perims_DD,NoData_T,-1,-1,1985_mtbs_perims_DD,NoData_T,-1,-1,1986_mtbs_perims_DD,NoData_T,-1,-1,1987_mtbs_perims_DD,NoData_T,-1,-1,1988_mtbs_perims_DD,NoData_T,-1,-1,1989_mtbs_perims_DD,NoData_T,-1,-1,1990_mtbs_perims_DD,NoData_T,-1,-1;IncGreen_T "IncGreen_T" true true false 10 Long 0 10 ,First,#,1984_mtbs_perims_DD,IncGreen_T,-1,-1,1985_mtbs_perims_DD,IncGreen_T,-1,-1,1986_mtbs_perims_DD,IncGreen_T,-1,-1,1987_mtbs_perims_DD,IncGreen_T,-1,-1,1988_mtbs_perims_DD,IncGreen_T,-1,-1,1989_mtbs_perims_DD,IncGreen_T,-1,-1,1990_mtbs_perims_DD,IncGreen_T,-1,-1;Low_T "Low_T" true true false 10 Long 0 10 ,First,#,1984_mtbs_perims_DD,Low_T,-1,-1,1985_mtbs_perims_DD,Low_T,-1,-1,1986_mtbs_perims_DD,Low_T,-1,-1,1987_mtbs_perims_DD,Low_T,-1,-1,1988_mtbs_perims_DD,Low_T,-1,-1,1989_mtbs_perims_DD,Low_T,-1,-1,1990_mtbs_perims_DD,Low_T,-1,-1;Mod_T "Mod_T" true true false 10 Long 0 10 ,First,#,1984_mtbs_perims_DD,Mod_T,-1,-1,1985_mtbs_perims_DD,Mod_T,-1,-1,1986_mtbs_perims_DD,Mod_T,-1,-1,1987_mtbs_perims_DD,Mod_T,-1,-1,1988_mtbs_perims_DD,Mod_T,-1,-1,1989_mtbs_perims_DD,Mod_T,-1,-1,1990_mtbs_perims_DD,Mod_T,-1,-1;High_T "High_T" true true false 10 Long 0 10 ,First,#,1984_mtbs_perims_DD,High_T,-1,-1,1985_mtbs_perims_DD,High_T,-1,-1,1986_mtbs_perims_DD,High_T,-1,-1,1987_mtbs_perims_DD,High_T,-1,-1,1988_mtbs_perims_DD,High_T,-1,-1,1989_mtbs_perims_DD,High_T,-1,-1,1990_mtbs_perims_DD,High_T,-1,-1;Comment "Comment" true true false 254 Text 0 0 ,First,#,1984_mtbs_perims_DD,Comment,-1,-1,1985_mtbs_perims_DD,Comment,-1,-1,1986_mtbs_perims_DD,Comment,-1,-1,1987_mtbs_perims_DD,Comment,-1,-1,1988_mtbs_perims_DD,Comment,-1,-1,1989_mtbs_perims_DD,Comment,-1,-1,1990_mtbs_perims_DD,Comment,-1,-1"
Merge 1984_1990;1991_1995;1996_2000;2001_2005;2006_2010;2011_2015;2016_2021 M:\temp\kbhattarai\kbhattarai\MTBS_QA_Data_Release\ETD_Review\4th_release_2023\Data_prep\Fire_perims\1984-2021\mtbs_perims_1984_2021_new.shp "Event_ID "Event_ID" true true false 254 Text 0 0 ,First,#,1984_1990,Event_ID,-1,-1,1991_1995,Event_ID,-1,-1,1996_2000,Event_ID,-1,-1,2001_2005,Event_ID,-1,-1,2006_2010,Event_ID,-1,-1,2011_2015,Event_ID,-1,-1,2016_2021,Event_ID,-1,-1;irwinID "irwinID" true true false 254 Text 0 0 ,First,#,1984_1990,irwinID,-1,-1,1991_1995,irwinID,-1,-1,1996_2000,irwinID,-1,-1,2001_2005,irwinID,-1,-1,2006_2010,irwinID,-1,-1,2011_2015,irwinID,-1,-1,2016_2021,irwinID,-1,-1;Incid_Name "Incid_Name" true true false 254 Text 0 0 ,First,#,1984_1990,Incid_Name,-1,-1,1991_1995,Incid_Name,-1,-1,1996_2000,Incid_Name,-1,-1,2001_2005,Incid_Name,-1,-1,2006_2010,Incid_Name,-1,-1,2011_2015,Incid_Name,-1,-1,2016_2021,Incid_Name,-1,-1;Incid_Type "Incid_Type" true true false 254 Text 0 0 ,First,#,1984_1990,Incid_Type,-1,-1,1991_1995,Incid_Type,-1,-1,1996_2000,Incid_Type,-1,-1,2001_2005,Incid_Type,-1,-1,2006_2010,Incid_Type,-1,-1,2011_2015,Incid_Type,-1,-1,2016_2021,Incid_Type,-1,-1;Map_ID "Map_ID" true true false 10 Long 0 10 ,First,#,1984_1990,Map_ID,-1,-1,1991_1995,Map_ID,-1,-1,1996_2000,Map_ID,-1,-1,2001_2005,Map_ID,-1,-1,2006_2010,Map_ID,-1,-1,2011_2015,Map_ID,-1,-1,2016_2021,Map_ID,-1,-1;Map_Prog "Map_Prog" true true false 254 Text 0 0 ,First,#,1984_1990,Map_Prog,-1,-1,1991_1995,Map_Prog,-1,-1,1996_2000,Map_Prog,-1,-1,2001_2005,Map_Prog,-1,-1,2006_2010,Map_Prog,-1,-1,2011_2015,Map_Prog,-1,-1,2016_2021,Map_Prog,-1,-1;Asmnt_Type "Asmnt_Type" true true false 254 Text 0 0 ,First,#,1984_1990,Asmnt_Type,-1,-1,1991_1995,Asmnt_Type,-1,-1,1996_2000,Asmnt_Type,-1,-1,2001_2005,Asmnt_Type,-1,-1,2006_2010,Asmnt_Type,-1,-1,2011_2015,Asmnt_Type,-1,-1,2016_2021,Asmnt_Type,-1,-1;BurnBndAc "BurnBndAc" true true false 10 Long 0 10 ,First,#,1984_1990,BurnBndAc,-1,-1,1991_1995,BurnBndAc,-1,-1,1996_2000,BurnBndAc,-1,-1,2001_2005,BurnBndAc,-1,-1,2006_2010,BurnBndAc,-1,-1,2011_2015,BurnBndAc,-1,-1,2016_2021,BurnBndAc,-1,-1;BurnBndLat "BurnBndLat" true true false 10 Text 0 0 ,First,#,1984_1990,BurnBndLat,-1,-1,1991_1995,BurnBndLat,-1,-1,1996_2000,BurnBndLat,-1,-1,2001_2005,BurnBndLat,-1,-1,2006_2010,BurnBndLat,-1,-1,2011_2015,BurnBndLat,-1,-1,2016_2021,BurnBndLat,-1,-1;BurnBndLon "BurnBndLon" true true false 10 Text 0 0 ,First,#,1984_1990,BurnBndLon,-1,-1,1991_1995,BurnBndLon,-1,-1,1996_2000,BurnBndLon,-1,-1,2001_2005,BurnBndLon,-1,-1,2006_2010,BurnBndLon,-1,-1,2011_2015,BurnBndLon,-1,-1,2016_2021,BurnBndLon,-1,-1;Ig_Date "Ig_Date" true true false 8 Date 0 0 ,First,#,1984_1990,Ig_Date,-1,-1,1991_1995,Ig_Date,-1,-1,1996_2000,Ig_Date,-1,-1,2001_2005,Ig_Date,-1,-1,2006_2010,Ig_Date,-1,-1,2011_2015,Ig_Date,-1,-1,2016_2021,Ig_Date,-1,-1;Pre_ID "Pre_ID" true true false 254 Text 0 0 ,First,#,1984_1990,Pre_ID,-1,-1,1991_1995,Pre_ID,-1,-1,1996_2000,Pre_ID,-1,-1,2001_2005,Pre_ID,-1,-1,2006_2010,Pre_ID,-1,-1,2011_2015,Pre_ID,-1,-1,2016_2021,Pre_ID,-1,-1;Post_ID "Post_ID" true true false 254 Text 0 0 ,First,#,1984_1990,Post_ID,-1,-1,1991_1995,Post_ID,-1,-1,1996_2000,Post_ID,-1,-1,2001_2005,Post_ID,-1,-1,2006_2010,Post_ID,-1,-1,2011_2015,Post_ID,-1,-1,2016_2021,Post_ID,-1,-1;Perim_ID "Perim_ID" true true false 254 Text 0 0 ,First,#,1984_1990,Perim_ID,-1,-1,1991_1995,Perim_ID,-1,-1,1996_2000,Perim_ID,-1,-1,2001_2005,Perim_ID,-1,-1,2006_2010,Perim_ID,-1,-1,2011_2015,Perim_ID,-1,-1,2016_2021,Perim_ID,-1,-1;dNBR_offst "dNBR_offst" true true false 10 Long 0 10 ,First,#,1984_1990,dNBR_offst,-1,-1,1991_1995,dNBR_offst,-1,-1,1996_2000,dNBR_offst,-1,-1,2001_2005,dNBR_offst,-1,-1,2006_2010,dNBR_offst,-1,-1,2011_2015,dNBR_offst,-1,-1,2016_2021,dNBR_offst,-1,-1;dNBR_stdDv "dNBR_stdDv" true true false 10 Long 0 10 ,First,#,1984_1990,dNBR_stdDv,-1,-1,1991_1995,dNBR_stdDv,-1,-1,1996_2000,dNBR_stdDv,-1,-1,2001_2005,dNBR_stdDv,-1,-1,2006_2010,dNBR_stdDv,-1,-1,2011_2015,dNBR_stdDv,-1,-1,2016_2021,dNBR_stdDv,-1,-1;NoData_T "NoData_T" true true false 10 Long 0 10 ,First,#,1984_1990,NoData_T,-1,-1,1991_1995,NoData_T,-1,-1,1996_2000,NoData_T,-1,-1,2001_2005,NoData_T,-1,-1,2006_2010,NoData_T,-1,-1,2011_2015,NoData_T,-1,-1,2016_2021,NoData_T,-1,-1;IncGreen_T "IncGreen_T" true true false 10 Long 0 10 ,First,#,1984_1990,IncGreen_T,-1,-1,1991_1995,IncGreen_T,-1,-1,1996_2000,IncGreen_T,-1,-1,2001_2005,IncGreen_T,-1,-1,2006_2010,IncGreen_T,-1,-1,2011_2015,IncGreen_T,-1,-1,2016_2021,IncGreen_T,-1,-1;Low_T "Low_T" true true false 10 Long 0 10 ,First,#,1984_1990,Low_T,-1,-1,1991_1995,Low_T,-1,-1,1996_2000,Low_T,-1,-1,2001_2005,Low_T,-1,-1,2006_2010,Low_T,-1,-1,2011_2015,Low_T,-1,-1,2016_2021,Low_T,-1,-1;Mod_T "Mod_T" true true false 10 Long 0 10 ,First,#,1984_1990,Mod_T,-1,-1,1991_1995,Mod_T,-1,-1,1996_2000,Mod_T,-1,-1,2001_2005,Mod_T,-1,-1,2006_2010,Mod_T,-1,-1,2011_2015,Mod_T,-1,-1,2016_2021,Mod_T,-1,-1;High_T "High_T" true true false 10 Long 0 10 ,First,#,1984_1990,High_T,-1,-1,1991_1995,High_T,-1,-1,1996_2000,High_T,-1,-1,2001_2005,High_T,-1,-1,2006_2010,High_T,-1,-1,2011_2015,High_T,-1,-1,2016_2021,High_T,-1,-1;Comment "Comment" true true false 254 Text 0 0 ,First,#,1984_1990,Comment,-1,-1,1991_1995,Comment,-1,-1,1996_2000,Comment,-1,-1,2001_2005,Comment,-1,-1,2006_2010,Comment,-1,-1,2011_2015,Comment,-1,-1,2016_2021,Comment,-1,-1"
Project M:\temp\kbhattarai\kbhattarai\MTBS_QA_Data_Release\ETD_Review\4th_release_2023\Data_prep\Fire_perims\1984-2021\mtbs_perims_1984_2021_new.shp M:\temp\kbhattarai\kbhattarai\MTBS_QA_Data_Release\ETD_Review\4th_release_2023\Data_prep\Fire_perims\1984-2021\Projected_Perims\mtbs_DD\mtbs_perims_DD.shp GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]] # GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]] NO_PRESERVE_SHAPE # NO_VERTICAL
Merge mtbs_perims_DD;mtbs_perims_DD2022 M:\temp\kbhattarai\MTBS\MTBS_QAQCs\Bi_weekly_QAQC\2022_fires\2023_4th_Qrelease\2023_4th_release_Data_Prep\Perim_final\mtbs_perims_DD.shp "Event_ID "Event_ID" true true false 254 Text 0 0 ,First,#,mtbs_perims_DD,Event_ID,-1,-1,mtbs_perims_DD2022,Event_ID,-1,-1;irwinID "irwinID" true true false 254 Text 0 0 ,First,#,mtbs_perims_DD,irwinID,-1,-1,mtbs_perims_DD2022,irwinID,-1,-1;Incid_Name "Incid_Name" true true false 254 Text 0 0 ,First,#,mtbs_perims_DD,Incid_Name,-1,-1,mtbs_perims_DD2022,Incid_Name,-1,-1;Incid_Type "Incid_Type" true true false 254 Text 0 0 ,First,#,mtbs_perims_DD,Incid_Type,-1,-1,mtbs_perims_DD2022,Incid_Type,-1,-1;Map_ID "Map_ID" true true false 10 Long 0 10 ,First,#,mtbs_perims_DD,Map_ID,-1,-1,mtbs_perims_DD2022,Map_ID,-1,-1;Map_Prog "Map_Prog" true true false 254 Text 0 0 ,First,#,mtbs_perims_DD,Map_Prog,-1,-1,mtbs_perims_DD2022,Map_Prog,-1,-1;Asmnt_Type "Asmnt_Type" true true false 254 Text 0 0 ,First,#,mtbs_perims_DD,Asmnt_Type,-1,-1,mtbs_perims_DD2022,Asmnt_Type,-1,-1;BurnBndAc "BurnBndAc" true true false 10 Long 0 10 ,First,#,mtbs_perims_DD,BurnBndAc,-1,-1,mtbs_perims_DD2022,BurnBndAc,-1,-1;BurnBndLat "BurnBndLat" true true false 10 Text 0 0 ,First,#,mtbs_perims_DD,BurnBndLat,-1,-1,mtbs_perims_DD2022,BurnBndLat,-1,-1;BurnBndLon "BurnBndLon" true true false 10 Text 0 0 ,First,#,mtbs_perims_DD,BurnBndLon,-1,-1,mtbs_perims_DD2022,BurnBndLon,-1,-1;Ig_Date "Ig_Date" true true false 8 Date 0 0 ,First,#,mtbs_perims_DD,Ig_Date,-1,-1,mtbs_perims_DD2022,Ig_Date,-1,-1;Pre_ID "Pre_ID" true true false 254 Text 0 0 ,First,#,mtbs_perims_DD,Pre_ID,-1,-1,mtbs_perims_DD2022,Pre_ID,-1,-1;Post_ID "Post_ID" true true false 254 Text 0 0 ,First,#,mtbs_perims_DD,Post_ID,-1,-1,mtbs_perims_DD2022,Post_ID,-1,-1;Perim_ID "Perim_ID" true true false 254 Text 0 0 ,First,#,mtbs_perims_DD,Perim_ID,-1,-1,mtbs_perims_DD2022,Perim_ID,-1,-1;dNBR_offst "dNBR_offst" true true false 10 Long 0 10 ,First,#,mtbs_perims_DD,dNBR_offst,-1,-1,mtbs_perims_DD2022,dNBR_offst,-1,-1;dNBR_stdDv "dNBR_stdDv" true true false 10 Long 0 10 ,First,#,mtbs_perims_DD,dNBR_stdDv,-1,-1,mtbs_perims_DD2022,dNBR_stdDv,-1,-1;NoData_T "NoData_T" true true false 10 Long 0 10 ,First,#,mtbs_perims_DD,NoData_T,-1,-1,mtbs_perims_DD2022,NoData_T,-1,-1;IncGreen_T "IncGreen_T" true true false 10 Long 0 10 ,First,#,mtbs_perims_DD,IncGreen_T,-1,-1,mtbs_perims_DD2022,IncGreen_T,-1,-1;Low_T "Low_T" true true false 10 Long 0 10 ,First,#,mtbs_perims_DD,Low_T,-1,-1,mtbs_perims_DD2022,Low_T,-1,-1;Mod_T "Mod_T" true true false 10 Long 0 10 ,First,#,mtbs_perims_DD,Mod_T,-1,-1,mtbs_perims_DD2022,Mod_T,-1,-1;High_T "High_T" true true false 10 Long 0 10 ,First,#,mtbs_perims_DD,High_T,-1,-1,mtbs_perims_DD2022,High_T,-1,-1;Comment "Comment" true true false 254 Text 0 0 ,First,#,mtbs_perims_DD,Comment,-1,-1,mtbs_perims_DD2022,Comment,-1,-1"
Merge mtbs_1984_2021;mtbs_perims_DD M:\temp\kbhattarai\MTBS\MTBS_QAQCs\Bi_weekly_QAQC\2022_fires\2024_1st_Qrelease\Data_Prep\fire_perims\shapefile4MTBS\mtbs_1984_2022.shp "Event_ID "Event_ID" true true false 254 Text 0 0 ,First,#,mtbs_1984_2021,Event_ID,-1,-1,mtbs_perims_DD,Event_ID,-1,-1;irwinID "irwinID" true true false 254 Text 0 0 ,First,#,mtbs_1984_2021,irwinID,-1,-1,mtbs_perims_DD,irwinID,-1,-1;Incid_Name "Incid_Name" true true false 254 Text 0 0 ,First,#,mtbs_1984_2021,Incid_Name,-1,-1,mtbs_perims_DD,Incid_Name,-1,-1;Incid_Type "Incid_Type" true true false 254 Text 0 0 ,First,#,mtbs_1984_2021,Incid_Type,-1,-1,mtbs_perims_DD,Incid_Type,-1,-1;Map_ID "Map_ID" true true false 10 Long 0 10 ,First,#,mtbs_1984_2021,Map_ID,-1,-1,mtbs_perims_DD,Map_ID,-1,-1;Map_Prog "Map_Prog" true true false 254 Text 0 0 ,First,#,mtbs_1984_2021,Map_Prog,-1,-1,mtbs_perims_DD,Map_Prog,-1,-1;Asmnt_Type "Asmnt_Type" true true false 254 Text 0 0 ,First,#,mtbs_1984_2021,Asmnt_Type,-1,-1,mtbs_perims_DD,Asmnt_Type,-1,-1;BurnBndAc "BurnBndAc" true true false 10 Long 0 10 ,First,#,mtbs_1984_2021,BurnBndAc,-1,-1,mtbs_perims_DD,BurnBndAc,-1,-1;BurnBndLat "BurnBndLat" true true false 10 Text 0 0 ,First,#,mtbs_1984_2021,BurnBndLat,-1,-1,mtbs_perims_DD,BurnBndLat,-1,-1;BurnBndLon "BurnBndLon" true true false 10 Text 0 0 ,First,#,mtbs_1984_2021,BurnBndLon,-1,-1,mtbs_perims_DD,BurnBndLon,-1,-1;Ig_Date "Ig_Date" true true false 8 Date 0 0 ,First,#,mtbs_1984_2021,Ig_Date,-1,-1,mtbs_perims_DD,Ig_Date,-1,-1;Pre_ID "Pre_ID" true true false 254 Text 0 0 ,First,#,mtbs_1984_2021,Pre_ID,-1,-1,mtbs_perims_DD,Pre_ID,-1,-1;Post_ID "Post_ID" true true false 254 Text 0 0 ,First,#,mtbs_1984_2021,Post_ID,-1,-1,mtbs_perims_DD,Post_ID,-1,-1;Perim_ID "Perim_ID" true true false 254 Text 0 0 ,First,#,mtbs_1984_2021,Perim_ID,-1,-1,mtbs_perims_DD,Perim_ID,-1,-1;dNBR_offst "dNBR_offst" true true false 10 Long 0 10 ,First,#,mtbs_1984_2021,dNBR_offst,-1,-1,mtbs_perims_DD,dNBR_offst,-1,-1;dNBR_stdDv "dNBR_stdDv" true true false 10 Long 0 10 ,First,#,mtbs_1984_2021,dNBR_stdDv,-1,-1,mtbs_perims_DD,dNBR_stdDv,-1,-1;NoData_T "NoData_T" true true false 10 Long 0 10 ,First,#,mtbs_1984_2021,NoData_T,-1,-1,mtbs_perims_DD,NoData_T,-1,-1;IncGreen_T "IncGreen_T" true true false 10 Long 0 10 ,First,#,mtbs_1984_2021,IncGreen_T,-1,-1,mtbs_perims_DD,IncGreen_T,-1,-1;Low_T "Low_T" true true false 10 Long 0 10 ,First,#,mtbs_1984_2021,Low_T,-1,-1,mtbs_perims_DD,Low_T,-1,-1;Mod_T "Mod_T" true true false 10 Long 0 10 ,First,#,mtbs_1984_2021,Mod_T,-1,-1,mtbs_perims_DD,Mod_T,-1,-1;High_T "High_T" true true false 10 Long 0 10 ,First,#,mtbs_1984_2021,High_T,-1,-1,mtbs_perims_DD,High_T,-1,-1;Comment "Comment" true true false 254 Text 0 0 ,First,#,mtbs_1984_2021,Comment,-1,-1,mtbs_perims_DD,Comment,-1,-1"
Project mtbs_1984_2022 M:\temp\kbhattarai\MTBS\MTBS_QAQCs\Bi_weekly_QAQC\2022_fires\2024_1st_Qrelease\Data_Prep\fire_perims\shapefile4MTBS\mtbs\mtbs_perims_DD.shp GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]] # GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]] NO_PRESERVE_SHAPE # NO_VERTICAL
Project mtbs_perims_DD C:\Users\nicol\OneDrive\Desktop\SIG\NAFC\other_data\US_burnedarea_Lambert PROJCS["Sphere_ARC_INFO_Lambert_Azimuthal_Equal_Area",GEOGCS["GCS_Sphere_ARC_INFO",DATUM["D_Sphere_ARC_INFO",SPHEROID["Sphere_ARC_INFO",6370997.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Azimuthal_Equal_Area"],PARAMETER["false_easting",0.0],PARAMETER["false_northing",0.0],PARAMETER["central_meridian",-100.0],PARAMETER["latitude_of_origin",45.0],UNIT["Meter",1.0]] # GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]] NO_PRESERVE_SHAPE # NO_VERTICAL
20240112
10581200
20240112
10581200
Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333
US_burnedarea_Lambert
Shapefile
0.000
dataset
EPSG
6.12(3.0.1)
0
Simple
FALSE
0
FALSE
FALSE
mtbs_1984_2022
Feature Class
0
FID
FID
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.
Event_ID
Event_ID
String
254
0
0
irwinID
irwinID
String
254
0
0
Incid_Name
Incid_Name
String
254
0
0
Incid_Type
Incid_Type
String
254
0
0
Map_ID
Map_ID
Integer
10
10
0
Map_Prog
Map_Prog
String
254
0
0
Asmnt_Type
Asmnt_Type
String
254
0
0
BurnBndAc
BurnBndAc
Integer
10
10
0
BurnBndLat
BurnBndLat
String
10
0
0
BurnBndLon
BurnBndLon
String
10
0
0
Ig_Date
Ig_Date
Date
8
0
0
Pre_ID
Pre_ID
String
254
0
0
Post_ID
Post_ID
String
254
0
0
Perim_ID
Perim_ID
String
254
0
0
dNBR_offst
dNBR_offst
Integer
10
10
0
dNBR_stdDv
dNBR_stdDv
Integer
10
10
0
NoData_T
NoData_T
Integer
10
10
0
IncGreen_T
IncGreen_T
Integer
10
10
0
Low_T
Low_T
Integer
10
10
0
Mod_T
Mod_T
Integer
10
10
0
High_T
High_T
Integer
10
10
0
Comment
Comment
String
254
0
0
20240112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