Using: Raster Spatial Allocator Version 4.2, 05/2014 Compute grid landuse percentage information... GDAL bin directory: /home/u220220948411/festc-i/sa_052014/src/libs/gdal-1.11.0/local/bin/ Getting modeling grid domain variables... Grid name: TESTGRIDS Rows=25 Cols=25 Total gird cells=625 xmin=-84000.000000 ymin=204000.000000 xcell=12000 ycell=12000 Grid domain projection proj4 = +proj=lcc +a=6370000.0 +b=6370000.0 +lat_1=33 +lat_2=45 +lat_0=40 +lon_0=-97 proj type = 1 Domain BELD4 netCDF file: /home/u220220948411/festc-i/festc1.4/epic/scenarios/test_case/share_data/beld4_TESTGRIDS_2011.nc U.S. county shapefile: /home/u220220948411/festc-i/festc1.4/epic/common_data/gisFiles/co99_d00_conus_cmaq_epic.shp Region country shapefile: /home/u220220948411/festc-i/festc1.4/epic/common_data/gisFiles/na_bnd_camq_epic.shp 8-digit HUC shapefile: /home/u220220948411/festc-i/festc1.4/epic/common_data/gisFiles/conus_hucs_8_cmaq.shp region elevation image: /home/u220220948411/festc-i/festc1.4/epic/common_data/gisFiles/na_dem_epic.img region slope image: /home/u220220948411/festc-i/festc1.4/epic/common_data/gisFiles/na_slope_epic.img Output text file name: /home/u220220948411/festc-i/festc1.4/epic/scenarios/test_case/share_data/EPICSites_Info.csv Output text file name: /home/u220220948411/festc-i/festc1.4/epic/scenarios/test_case/share_data/EPICSites_Crop.csv Reading grid landuse data to select EPIC sites... Reading BELD4 netCDF file: /home/u220220948411/festc-i/festc1.4/epic/scenarios/test_case/share_data/beld4_TESTGRIDS_2011.nc Obtaining all dimension IDs in input NetCDF file... BELD4 file has: 8 dims, 16 variables, 32 global attributes, 0 unlimited variable ID BELD4 file dimension: dimName = Time dimSize = 1 BELD4 file dimension: dimName = DateStrLen dimSize = 19 BELD4 file dimension: dimName = west_east dimSize = 25 BELD4 file dimension: dimName = south_north dimSize = 25 BELD4 file dimension: dimName = land_cat dimSize = 40 BELD4 file dimension: dimName = crop_cat dimSize = 42 BELD4 file dimension: dimName = tree_cat dimSize = 194 BELD4 file dimension: dimName = nameStrLen dimSize = 50 Getting IOAPI file grid information... Rows=25 Cols=25 Total gird cells=625 xmin=-84000.000000 ymin=204000.000000 xmax=0.000000 ymax=-nan xcell=12000.00000000 ycell=12000.00000000 proj4=+proj=lcc +a=6370000.0 +b=6370000.0 +lat_1=33.000 +lat_2=45.000 +lat_0=40.000 +lon_0=-97.000 Variable name = LANDUSEF var_type = 5 ndims=4 Dimensions: 1 40 25 25 Total size = 25000 Obtained variable: LANDUSEF Reading BELD4 netCDF file: /home/u220220948411/festc-i/festc1.4/epic/scenarios/test_case/share_data/beld4_TESTGRIDS_2011.nc Obtaining all dimension IDs in input NetCDF file... BELD4 file has: 8 dims, 16 variables, 32 global attributes, 0 unlimited variable ID BELD4 file dimension: dimName = Time dimSize = 1 BELD4 file dimension: dimName = DateStrLen dimSize = 19 BELD4 file dimension: dimName = west_east dimSize = 25 BELD4 file dimension: dimName = south_north dimSize = 25 BELD4 file dimension: dimName = land_cat dimSize = 40 BELD4 file dimension: dimName = crop_cat dimSize = 42 BELD4 file dimension: dimName = tree_cat dimSize = 194 BELD4 file dimension: dimName = nameStrLen dimSize = 50 Getting IOAPI file grid information... Rows=25 Cols=25 Total gird cells=625 xmin=-84000.000000 ymin=204000.000000 xmax=0.000000 ymax=-nan xcell=12000.00000000 ycell=12000.00000000 proj4=+proj=lcc +a=6370000.0 +b=6370000.0 +lat_1=33.000 +lat_2=45.000 +lat_0=40.000 +lon_0=-97.000 Variable name = CROPF var_type = 5 ndims=4 Dimensions: 1 42 25 25 Total size = 26250 Obtained variable: CROPF Minimum crop percent used for EPIC site selection: 0.112413 Get dimention size of land_cat from file: /home/u220220948411/festc-i/festc1.4/epic/scenarios/test_case/share_data/beld4_TESTGRIDS_2011.nc Dimension of land_cat is: 40 Selected 625 EPIC potential sites. Final sites will be selectled based on each crop fraction > 0.112413 Extracting polygon shapefile attributes for EPIC sites: /home/u220220948411/festc-i/festc1.4/epic/common_data/gisFiles/co99_d00_conus_cmaq_epic.shp... GDAL bin directory: /home/u220220948411/festc-i/sa_052014/src/libs/gdal-1.11.0/local/bin/ Polygon Shapefile projection: +proj=lcc +lat_1=33 +lat_2=45 +lat_0=40 +lon_0=-97 +x_0=0 +y_0=0 +a=6370000 +b=6370000 +units=m +no_defs Grid domain projection: +proj=lcc +a=6370000.0 +b=6370000.0 +lat_1=33 +lat_2=45 +lat_0=40 +lon_0=-97 Completed extracting attributes from shapefile:/home/u220220948411/festc-i/festc1.4/epic/common_data/gisFiles/co99_d00_conus_cmaq_epic.shp Extracting polygon shapefile attributes for EPIC sites: /home/u220220948411/festc-i/festc1.4/epic/common_data/gisFiles/na_bnd_camq_epic.shp... GDAL bin directory: /home/u220220948411/festc-i/sa_052014/src/libs/gdal-1.11.0/local/bin/ Polygon Shapefile projection: +proj=lcc +lat_1=33 +lat_2=45 +lat_0=40 +lon_0=-97 +x_0=0 +y_0=0 +a=6370000 +b=6370000 +units=m +no_defs Grid domain projection: +proj=lcc +a=6370000.0 +b=6370000.0 +lat_1=33 +lat_2=45 +lat_0=40 +lon_0=-97 Completed extracting attributes from shapefile:/home/u220220948411/festc-i/festc1.4/epic/common_data/gisFiles/na_bnd_camq_epic.shp Extracting polygon shapefile attributes for EPIC sites: /home/u220220948411/festc-i/festc1.4/epic/common_data/gisFiles/conus_hucs_8_cmaq.shp... GDAL bin directory: /home/u220220948411/festc-i/sa_052014/src/libs/gdal-1.11.0/local/bin/ Polygon Shapefile projection: +proj=lcc +lat_1=33 +lat_2=45 +lat_0=40 +lon_0=-97 +x_0=0 +y_0=0 +a=6370000 +b=6370000 +units=m +no_defs Grid domain projection: +proj=lcc +a=6370000.0 +b=6370000.0 +lat_1=33 +lat_2=45 +lat_0=40 +lon_0=-97 Completed extracting attributes from shapefile:/home/u220220948411/festc-i/festc1.4/epic/common_data/gisFiles/conus_hucs_8_cmaq.shp Obtaining point values from image file: /home/u220220948411/festc-i/festc1.4/epic/common_data/gisFiles/na_dem_epic.img GDAL bin directory: /home/u220220948411/festc-i/sa_052014/src/libs/gdal-1.11.0/local/bin/ Obtaining image information from /home/u220220948411/festc-i/festc1.4/epic/common_data/gisFiles/na_dem_epic.img... Driver: HFA/Erdas Imagine Images (.img) Size is 6948x5028x1 Origin = (-3276000.000000,2580000.000000) Pixel Size = (1000.000,1000.000) Satellite image extent: minXY(-3276000.000,-2448000.000) maxXY(3672000.000,2580000.000) Proj4 projection string from image is: +proj=lcc +lat_1=33 +lat_2=45 +lat_0=40 +lon_0=-97 +x_0=0 +y_0=0 +a=6370000 +b=6370000 +units=m +no_defs Grid domain projection: +proj=lcc +a=6370000.0 +b=6370000.0 +lat_1=33 +lat_2=45 +lat_0=40 +lon_0=-97 Image projection: +proj=lcc +lat_1=33 +lat_2=45 +lat_0=40 +lon_0=-97 +x_0=0 +y_0=0 +a=6370000 +b=6370000 +units=m +no_defs Rows=5028 Cols=6948 Total gird cells=34934544 xmin=-3276000.000000 ymin=-2448000.000000 xmax=3672000.000000 ymax=2580000.000000 xcell=1000.00000000 ycell=1000.00000000 proj4=+proj=lcc +lat_1=33 +lat_2=45 +lat_0=40 +lon_0=-97 +x_0=0 +y_0=0 +a=6370000 +b=6370000 +units=m +no_defs Image Type = 3 Completed value extraction from the image. Obtaining point values from image file: /home/u220220948411/festc-i/festc1.4/epic/common_data/gisFiles/na_slope_epic.img GDAL bin directory: /home/u220220948411/festc-i/sa_052014/src/libs/gdal-1.11.0/local/bin/ Obtaining image information from /home/u220220948411/festc-i/festc1.4/epic/common_data/gisFiles/na_slope_epic.img... Driver: HFA/Erdas Imagine Images (.img) Size is 6948x5028x1 Origin = (-3276000.000000,2580000.000000) Pixel Size = (1000.000,1000.000) Satellite image extent: minXY(-3276000.000,-2448000.000) maxXY(3672000.000,2580000.000) Proj4 projection string from image is: +proj=lcc +lat_1=33 +lat_2=45 +lat_0=40 +lon_0=-97 +x_0=0 +y_0=0 +a=6370000 +b=6370000 +units=m +no_defs Grid domain projection: +proj=lcc +a=6370000.0 +b=6370000.0 +lat_1=33 +lat_2=45 +lat_0=40 +lon_0=-97 Image projection: +proj=lcc +lat_1=33 +lat_2=45 +lat_0=40 +lon_0=-97 +x_0=0 +y_0=0 +a=6370000 +b=6370000 +units=m +no_defs Rows=5028 Cols=6948 Total gird cells=34934544 xmin=-3276000.000000 ymin=-2448000.000000 xmax=3672000.000000 ymax=2580000.000000 xcell=1000.00000000 ycell=1000.00000000 proj4=+proj=lcc +lat_1=33 +lat_2=45 +lat_0=40 +lon_0=-97 +x_0=0 +y_0=0 +a=6370000 +b=6370000 +units=m +no_defs Image Type = 3 Completed value extraction from the image. Build geolocation point trees. Filling HUC8 numbers for sites in USA without 8-digit HUC numbers... Filling REG10,STFIPS,CNTYFIPS for sites in USA without the codes... Filling COUNTRY codes with water/agua/d'eau... Write EPIC site crop file: /home/u220220948411/festc-i/festc1.4/epic/scenarios/test_case/share_data/EPICSites_Crop.csv... Write EPIC site info file: /home/u220220948411/festc-i/festc1.4/epic/scenarios/test_case/share_data/EPICSites_Info.csv... Completed in computing EPIC site information. ==== Finished crop site info generation.