Latest Contributions by BennyIstanto

I have two raster with same resolution and dimension: rainfall (mm) and water-occurrence (%). I want to create a new raster of SLOPE (a) and INTERCEPT (b) by performing linear regression between every 3×3 pixels of the two rasters (rainfall and water-occurrence), such that each pixel of the SLOPE and INTERCEPT will hold the regression slope and intercept value obtained from linear regression of the corresponding 3×3 pixels in rainfall and water-occurrence that surround that pixel. Is there any example solution using ArcGIS or python/arcpy related above problem? Example data in the attachment. ... View more

Hi, with limited knowledge on python and arcpy, I tried to modified script from former staff in my office with no success.  The existing script is: Try to calculate number of consecutive days without rainfall (rainfall < 1mm) based on daily CHIRPS data with naming convention "chirps-v2.0.YYYY.MM.DD.tif" The calculation required number of days without rain from the previous day. If this data not available, it will skipped to next data. Let say, the data start from 1 Jan 1981, then the script will skip this date. And continue the process for the next day (2 Jan 1981) with following process: IF(chirps-v2.0.1981.01.01.tif <1, 1, 0) and save as cli_chirps_dslr_19810102.tif  IF(chirps-v2.0.1981.01.02.tif <1, cli_chirps_dslr_19810102.tif + 1, cli_chirps_dslr_19810102.tif = 0) and save as cli_chirps_dslr_19810103.tif and so on. And now I would like to use the script and modified some part to calculate similar approach with rainfall > 50mm, but using Dekad CHIRPS data with naming convention chirps-v2.0.1981.01.1.tif chirps-v2.0.1981.01.2.tif chirps-v2.0.1981.01.3.tif chirps-v2.0.1981.02.1.tif chirps-v2.0.1981.02.2.tif .. .. chirps-v2.0.2020.04.3.tif I got an error because the script try to read based on Date information, after finished process chirps-v2.0.1981.01.03.tif the scipt will continue to find chirps-v2.0.1981.01.04.tif and couldn't find the data then error.   Any reference or example on how to make it work?  Below is the error, script and few example of the data (subset from area with smaller size). .... found chirps-v2.0.2001.01.2.tif in the dekad rainfall folder found chirps-v2.0.2016.07.2.tif in the dekad rainfall folder found chirps-v2.0.1994.11.2.tif in the dekad rainfall folder found chirps-v2.0.2000.01.2.tif in the dekad rainfall folder found chirps-v2.0.2017.07.2.tif in the dekad rainfall folder found chirps-v2.0.1995.11.2.tif in the dekad rainfall folder execute first rainy data from date 1981011 creating precipgt50 data 1981-01-02 from dekad rainfall data from 1981-01-01 1981-01-02 Processing chirps_precipgt50_1981012.tif file chirps_precipgt50_1981012.tif is created start reading existing PRECIPgt50 Dataset.... looking for file with naming chirps_precipgt50_YYYYMMD found chirps_precipgt50_1981012.tif in the PRECIPgt50 folder PRECIPgt50 Data found. Looking for latest PRECIPgt50 Data... next dekad data is available... start processing next PRECIPgt50... Processing PRECIPgt50 from Z:\Temp\DryWetSeason\Output\chirps_precipgt50_1981012.tif and Z:\Temp\DryWetSeason\Dekad\chirps-v2.0.1981.01.2.tif PRECIPgt50 File chirps_precipgt50_1981013.tif is created next dekad data is available... start processing next PRECIPgt50... Processing PRECIPgt50 from Z:\Temp\DryWetSeason\Output\chirps_precipgt50_1981013.tif and Z:\Temp\DryWetSeason\Dekad\chirps-v2.0.1981.01.3.tif PRECIPgt50 File chirps_precipgt50_1981014.tif is created next dekad data is not available. Exit... next dekad data is not available. Exit... next dekad data is not available. Exit... next dekad data is not available. Exit... next dekad data is not available. Exit... next dekad data is not available. Exit... next dekad data is available... start processing next PRECIPgt50... Processing PRECIPgt50 from Z:\Temp\DryWetSeason\Output\chirps_precipgt50_19810110.tif and Z:\Temp\DryWetSeason\Dekad\chirps-v2.0.1981.01.1.tif Traceback (most recent call last): File "PRECIPgt50.py", line 118, in <module> list = create_PRECIPgt50('Z:\\Temp\\DryWetSeason\\Output','Z:\\Temp\\DryWetSeason\\Dekad', 50) File "PRECIPgt50.py", line 107, in create_PRECIPgt50 execute_PRECIPgt50(last_date, _tiffolder, _PRECIPgt50_folder, threshold) File "PRECIPgt50.py", line 50, in execute_PRECIPgt50 outPRECIPgt50Con = Con(Raster(next_dekaddata) < int(threshold), Raster(last_precipgt50file)+1, 0) RuntimeError: ERROR 000732: Input Raster: Dataset Z:\Temp\DryWetSeason\Output\chirps_precipgt50_19810110.tif does not exist or is not supported Z:\Temp\DryWetSeason> import os import arcpy from arcpy.sa import * from datetime import date, timedelta # to execute first PRECIPgt50 data def execute_first_PRECIPgt50(_tiffolder, _PRECIPgt50Folder, threshold): sr = arcpy.SpatialReference(4326) print("looking at the first dekad rainfall data in tif folder...") dekad_list = create_dekad_List(_tiffolder) first_date = min(dekad_list) print("execute first rainy data from date "+first_date) first_data_name = 'chirps-v2.0.{0}.{1}.{2}.tif'.format(first_date[0:4], first_date[4:6], first_date[6:7]) first_dekad_data = os.path.join(_tiffolder, first_data_name) dekad_Date = date(int(first_date[0:4]), int(first_date[4:6]), int(first_date[6:7])) precipgt50_date = dekad_Date + timedelta(days=1) print("creating precipgt50 data "+str(precipgt50_date)+ " from dekad rainfall data from "+str(dekad_Date)) PRECIPgt50Year = str(precipgt50_date.year) PRECIPgt50month = str(precipgt50_date.month) PRECIPgt50day = str(precipgt50_date.day) print(str(precipgt50_date)) PRECIPgt50Filename = 'chirps_precipgt50_{0}{1}{2}.tif'.format(PRECIPgt50Year.zfill(4), PRECIPgt50month.zfill(2), PRECIPgt50day.zfill(1)) print("Processing "+PRECIPgt50Filename) arcpy.CheckOutExtension("spatial") outCon = Con(Raster(first_dekad_data) < int(threshold), 1, 0) outCon.save(os.path.join(_PRECIPgt50Folder, PRECIPgt50Filename)) arcpy.DefineProjection_management(os.path.join(_PRECIPgt50Folder, PRECIPgt50Filename), sr) arcpy.CheckInExtension("spatial") print("file " + PRECIPgt50Filename + " is created") # to execute next PRECIPgt50 data def execute_PRECIPgt50(_lastdate, _tiffolder, _PRECIPgt50_folder, threshold): sr = arcpy.SpatialReference(4326) date_formatted = date(int(_lastdate[0:4]), int(_lastdate[4:6]), int(_lastdate[6:7])) last_precipgt50name = 'chirps_precipgt50_{0}'.format(_lastdate) last_precipgt50file = os.path.join(_PRECIPgt50_folder, last_precipgt50name) next_dekadname = 'chirps-v2.0.{0}.{1}.{2}.tif'.format(_lastdate[0:4], _lastdate[4:6], _lastdate[6:7]) next_dekaddata = os.path.join(_tiffolder, next_dekadname) if arcpy.Exists(next_dekaddata): print("next dekad data is available...") print("start processing next PRECIPgt50...") new_precipgt50_date = date_formatted + timedelta(days=1) PRECIPgt50Year1 = str(new_precipgt50_date.year) PRECIPgt50month1 = str(new_precipgt50_date.month) PRECIPgt50day1 = str(new_precipgt50_date.day) new_precipgt50_name = 'chirps_precipgt50_{0}{1}{2}.tif'.format(PRECIPgt50Year1.zfill(4), PRECIPgt50month1.zfill(2), PRECIPgt50day1.zfill(1)) print("Processing PRECIPgt50 from "+last_precipgt50file+" and "+next_dekaddata) arcpy.CheckOutExtension("spatial") outPRECIPgt50Con = Con(Raster(next_dekaddata) < int(threshold), Raster(last_precipgt50file)+1, 0) outPRECIPgt50Con.save(os.path.join(_PRECIPgt50_folder, new_precipgt50_name)) arcpy.DefineProjection_management(os.path.join(_PRECIPgt50_folder, new_precipgt50_name), sr) arcpy.CheckInExtension("spatial") print("PRECIPgt50 File "+new_precipgt50_name+" is created") else: print("next dekad data is not available. Exit...") # to check if there is PRECIPgt50 data in output folder def create_PRECIPgt50_List(_PRECIPgt50_folder): print("start reading existing PRECIPgt50 Dataset....") print("looking for file with naming chirps_precipgt50_YYYYMMD") PRECIPgt50_Date_List=[] for PRECIPgt50_Data in os.listdir(_PRECIPgt50_folder): if PRECIPgt50_Data.endswith(".tif") or PRECIPgt50_Data.endswith(".tiff"): print("found " + PRECIPgt50_Data + " in the PRECIPgt50 folder") parse_String = PRECIPgt50_Data.split('_') PRECIPgt50_Data_Date = parse_String[2] PRECIPgt50_Date_List.append(PRECIPgt50_Data_Date) return PRECIPgt50_Date_List # to check input data def create_dekad_List(_tif_folder): print("start reading list of dekad rainfall data....") print("looking for file with naming chirps-v2.0.YYYY.MM.DD") Dekad_Date_List=[] for Dekad_Data in os.listdir(_tif_folder): if Dekad_Data.endswith(".tif") or Dekad_Data.endswith(".tiff"): print("found " + Dekad_Data+ " in the dekad rainfall folder") parse_String = Dekad_Data.split('.') Dekad_Data_Date = parse_String[2]+parse_String[3]+parse_String[4] Dekad_Date_List.append(Dekad_Data_Date) return Dekad_Date_List # to run the script def create_PRECIPgt50(_PRECIPgt50_folder, _tiffolder, threshold): PRECIPgt50_Date_List = create_PRECIPgt50_List(_PRECIPgt50_folder) Dekad_list = create_dekad_List(_tiffolder) # if there is no PRECIPgt50 data, creating new PRECIPgt50 data if len(PRECIPgt50_Date_List)==0: print("No PRECIPgt50 Data found...") print("creating first PRECIPgt50 data...") execute_first_PRECIPgt50(_tiffolder, _PRECIPgt50_folder, threshold) PRECIPgt50_Date_List = create_PRECIPgt50_List(_PRECIPgt50_folder) # if there is PRECIPgt50 data print("PRECIPgt50 Data found. Looking for latest PRECIPgt50 Data...") #Check last PRECIPgt50 available last_date = max(PRECIPgt50_Date_List) #Check last dekad data availabke max_dekad_date = max(Dekad_list) last_PRECIPgt50_date = date(int(last_date[0:4]), int(last_date[4:6]), int(last_date[6:7])) last_dekad_date = date(int(max_dekad_date[0:4]), int(max_dekad_date[4:6]), int(max_dekad_date[6:7])) # process PRECIPgt50 to every dekad data available after last PRECIPgt50 data while last_dekad_date + timedelta(days=1) > last_PRECIPgt50_date: execute_PRECIPgt50(last_date, _tiffolder, _PRECIPgt50_folder, threshold) last_PRECIPgt50_date=last_PRECIPgt50_date+timedelta(days=1) PRECIPgt50Year2 = str(last_PRECIPgt50_date.year) PRECIPgt50month2 = str(last_PRECIPgt50_date.month) PRECIPgt50day2 = str(last_PRECIPgt50_date.day) last_date='{0}{1}{2}.tif'.format(PRECIPgt50Year2.zfill(4), PRECIPgt50month2.zfill(2), PRECIPgt50day2.zfill(1)) print("All PRECIPgt50 data is available") # run the function (output folder, input folder, threshold) list = create_PRECIPgt50('Z:\\Temp\\DryWetSeason\\Output','Z:\\Temp\\DryWetSeason\\Dekad', 50)‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ ... 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Hello, I usually calculate monthly or 3-monthly Standardized Precipitation Index (SPI) using spreadsheet, based on daily rainfall from weather station. Attached is the spreadsheet example. And now I would like to use satellite precipitation estimate (raster data) to calculate the SPI. The problem is in the spreadsheet I use some function like: FREQUENCY, GAMA.DIST, NORMSINV.  My question, is there any similar above function in ArcGIS? If not, I am open to any suggestion. ... View more

Hello, I have daily rainfall data in milimeters in GeoTIFF format with naming convention chirps_YYYYMMDD.tif (example chirps_20100101.tif), and I also have 1 raster of dry-spell with name dslr_chirps_20091231.tif and both raster have same spatial resolution and extent. Then I would like to calculate dry-spell for 1 Jan 2010, IF(rainfall>1,dslr=0,dslr+1). Using raster calculator I can use this formula: Con("chirps_20100101.tif" > 1, "dslr_chirps_20091231.tif" == 0, "dslr_chirps_20101231.tif" + 1) The raster output will be dslr_chirps_20180101.tif Problem: I have 10 years daily rainfall data and would like to calculate daily dry-spell for all the available data period. How to loop the above calculation using model builder, when the output for each calculation will use as input for the next calculation? ... View more