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@ -23,6 +23,8 @@ import xlsxwriter
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import math
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from cycler import cycler
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from survey_tools import call_lastools
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###############################################################################
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########################## FIXED INPUTS #######################################
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######### UNCOMMENT THIS SECTION IF YOU WANT TO DEFINE EACH INPUT INDIVIDUALLY ######################
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@ -359,17 +361,19 @@ def remove_temp_files(directory):
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###############################################################################
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########################### RUN CODE ##########################################
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input_file = 'Parameter Files/las-manipulation-survey-2.xlsx'
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params_file=pd.read_excel(input_file, sheet_name="PARAMS")
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for i in range(0, len(params_file)): #0, len(params_file)
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print("Starting to process %s" % params_file['Beach'][i])
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beach=params_file['Beach'][i]
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survey_date=params_file['SURVEY DATE'][i]
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input_las5=params_file['INPUT LAS4'][i]
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crop_swash_poly=params_file['CROP SWASH POLY'][i]
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original_las=params_file['INPUT LAS'][i]
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classified_las_dir=params_file['LAS CLASSIFIED FOLDER'][i]
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shp_swash_dir=params_file['SHP SWASH FOLDER'][i]
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heatmap_crop_poly=params_file['HEATMAP CROP POLY'][i]
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final_las = params_file['FINAL LAS'][i]
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heatmap_las = params_file['HEATMAP LAS'][i]
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final_las = params_file['LAS FINAL FOLDER'][i]
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# heatmap_las = params_file['HEATMAP LAS'][i]
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zone_MGA=params_file['ZONE MGA'][i]
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output_poly_name=params_file['OUTPUT POLY NAME'][i]
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path_2_output_poly=params_file['PATH TO OUTPUT'][i]
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@ -383,7 +387,19 @@ for i in range(0, len(params_file)): #0, len(params_file)
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tmp_dir=params_file['TEMP DIR'][i]
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int_dir=params_file['INTERIM DIR'][i]
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# Get base name of input las
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las_basename = os.path.splitext(os.path.basename(original_las))[0]
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# Get name of input point cloud
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input_las = os.path.join(classified_las_dir, las_basename + '.las')
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# Get name of swash cropping polygon
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crop_swash_poly = os.path.join(shp_swash_dir, las_basename + '.shp')
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# crop and get the output las
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las_data = call_lastools('lasclip', input=input_las, output='-stdout',
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args=['-poly', crop_swash_poly], verbose=False)
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crop_las(input_las5, crop_swash_poly, final_las, path_2_lastools)
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#now crop out the heatmap las
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