def derive_from_dem(dem):
"""derive slope and flow direction from a DEM.
Results are returned in a dictionary that contains references to
ArcPy Raster objects stored in the "in_memory" (temporary) workspace
"""
# set the snap raster for subsequent operations
env.snapRaster = dem
# calculate flow direction for the whole DEM
flowdir = FlowDirection(in_surface_raster=dem, force_flow="NORMAL")
flow_direction_raster = so("flowdir", "random", "in_memory")
flowdir.save(flow_direction_raster)
# calculate slope for the whole DEM
slope = Slope(in_raster=dem,
output_measurement="PERCENT_RISE",
method="PLANAR")
slope_raster = so("slope", "random", "in_memory")
slope.save(slope_raster)
return {
"flow_direction_raster": Raster(flow_direction_raster),
"slope_raster": Raster(slope_raster),
}
def function(outputFolder,
DEM,
studyAreaMask,
streamInput,
minAccThresh,
majAccThresh,
smoothDropBuffer,
smoothDrop,
streamDrop,
reconDEM,
rerun=False):
try:
# Set environment variables
arcpy.env.compression = "None"
arcpy.env.snapRaster = DEM
arcpy.env.extent = DEM
arcpy.env.cellSize = arcpy.Describe(DEM).meanCellWidth
########################
### Define filenames ###
########################
files = common.getFilenames('preprocess', outputFolder)
rawDEM = files.rawDEM
hydDEM = files.hydDEM
hydFDR = files.hydFDR
hydFDRDegrees = files.hydFDRDegrees
hydFAC = files.hydFAC
streamInvRas = files.streamInvRas # Inverse stream raster - 0 for stream, 1 for no stream
streams = files.streams
streamDisplay = files.streamDisplay
multRaster = files.multRaster
hydFACInt = files.hydFACInt
slopeRawDeg = files.slopeRawDeg
slopeRawPer = files.slopeRawPer
slopeHydDeg = files.slopeHydDeg
slopeHydPer = files.slopeHydPer
###############################
### Set temporary variables ###
###############################
prefix = os.path.join(arcpy.env.scratchGDB, "base_")
cellSizeDEM = float(arcpy.env.cellSize)
burnedDEM = prefix + "burnedDEM"
streamAccHaFile = prefix + "streamAccHa"
rawFDR = prefix + "rawFDR"
allPolygonSinks = prefix + "allPolygonSinks"
DEMTemp = prefix + "DEMTemp"
hydFACTemp = prefix + "hydFACTemp"
# Saved as .tif as did not save as ESRI grid on server
streamsRasterFile = os.path.join(arcpy.env.scratchFolder,
"base_") + "StreamsRaster.tif"
###############################
### Save DEM to base folder ###
###############################
codeBlock = 'Save DEM'
if not progress.codeSuccessfullyRun(codeBlock, outputFolder, rerun):
# Save DEM to base folder as raw DEM with no compression
pixelType = int(
arcpy.GetRasterProperties_management(DEM,
"VALUETYPE").getOutput(0))
if pixelType == 9: # 32 bit float
arcpy.CopyRaster_management(DEM,
rawDEM,
pixel_type="32_BIT_FLOAT")
else:
log.info("Converting DEM to 32 bit floating type")
arcpy.CopyRaster_management(DEM, DEMTemp)
arcpy.CopyRaster_management(Float(DEMTemp),
rawDEM,
pixel_type="32_BIT_FLOAT")
# Delete temporary DEM
arcpy.Delete_management(DEMTemp)
# Calculate statistics for raw DEM
arcpy.CalculateStatistics_management(rawDEM)
progress.logProgress(codeBlock, outputFolder)
################################
### Create multiplier raster ###
################################
codeBlock = 'Create multiplier raster'
if not progress.codeSuccessfullyRun(codeBlock, outputFolder, rerun):
Reclassify(rawDEM, "Value", RemapRange([[-999999.9, 999999.9, 1]]),
"NODATA").save(multRaster)
progress.logProgress(codeBlock, outputFolder)
codeBlock = 'Calculate slope in percent'
if not progress.codeSuccessfullyRun(codeBlock, outputFolder, rerun):
intSlopeRawPer = Slope(rawDEM, "PERCENT_RISE")
intSlopeRawPer.save(slopeRawPer)
del intSlopeRawPer
log.info('Slope calculated in percent')
progress.logProgress(codeBlock, outputFolder)
if reconDEM is True:
#######################
### Burn in streams ###
#######################
codeBlock = 'Burn in streams'
if not progress.codeSuccessfullyRun(codeBlock, outputFolder,
rerun):
# Recondition DEM (burning stream network in using AGREE method)
log.info("Burning streams into DEM.")
reconditionDEM.function(rawDEM, streamInput, smoothDropBuffer,
smoothDrop, streamDrop, burnedDEM)
log.info("Completed stream network burn in to DEM")
progress.logProgress(codeBlock, outputFolder)
##################
### Fill sinks ###
##################
codeBlock = 'Fill sinks'
if not progress.codeSuccessfullyRun(codeBlock, outputFolder,
rerun):
Fill(burnedDEM).save(hydDEM)
log.info("Sinks in DEM filled")
progress.logProgress(codeBlock, outputFolder)
######################
### Flow direction ###
######################
codeBlock = 'Flow direction'
if not progress.codeSuccessfullyRun(codeBlock, outputFolder,
rerun):
FlowDirection(hydDEM, "NORMAL").save(hydFDR)
log.info("Flow Direction calculated")
progress.logProgress(codeBlock, outputFolder)
#################################
### Flow direction in degrees ###
#################################
codeBlock = 'Flow direction in degrees'
if not progress.codeSuccessfullyRun(codeBlock, outputFolder,
rerun):
# Save flow direction raster in degrees (for display purposes)
degreeValues = RemapValue([[1, 90], [2, 135], [4, 180],
[8, 225], [16, 270], [32, 315],
[64, 0], [128, 45]])
Reclassify(hydFDR, "Value", degreeValues,
"NODATA").save(hydFDRDegrees)
progress.logProgress(codeBlock, outputFolder)
#########################
### Flow accumulation ###
#########################
codeBlock = 'Flow accumulation'
if not progress.codeSuccessfullyRun(codeBlock, outputFolder,
rerun):
hydFACTemp = FlowAccumulation(hydFDR, "", "FLOAT")
hydFACTemp.save(hydFAC)
arcpy.sa.Int(Raster(hydFAC)).save(hydFACInt) # integer version
log.info("Flow Accumulation calculated")
progress.logProgress(codeBlock, outputFolder)
#######################
### Calculate slope ###
#######################
codeBlock = 'Calculate slope on burned DEM'
if not progress.codeSuccessfullyRun(codeBlock, outputFolder,
rerun):
intSlopeHydDeg = Slope(hydDEM, "DEGREE")
intSlopeHydDeg.save(slopeHydDeg)
del intSlopeHydDeg
intSlopeHydPer = Slope(hydDEM, "PERCENT_RISE")
intSlopeHydPer.save(slopeHydPer)
del intSlopeHydPer
log.info('Slope calculated')
progress.logProgress(codeBlock, outputFolder)
##########################
### Create stream file ###
##########################
codeBlock = 'Create stream file'
if not progress.codeSuccessfullyRun(codeBlock, outputFolder,
rerun):
# Create accumulation in metres
streamAccHaFileInt = hydFACTemp * cellSizeDEM * cellSizeDEM / 10000.0
streamAccHaFileInt.save(streamAccHaFile)
del streamAccHaFileInt
# Check stream initiation threshold reached
streamYes = float(
arcpy.GetRasterProperties_management(
streamAccHaFile, "MAXIMUM").getOutput(0))
if streamYes > float(minAccThresh):
reclassifyRanges = RemapRange(
[[-1000000, float(minAccThresh), 1],
[float(minAccThresh), 9999999999, 0]])
outLUCIstream = Reclassify(streamAccHaFile, "VALUE",
reclassifyRanges)
outLUCIstream.save(streamInvRas)
del outLUCIstream
log.info("Stream raster for input to LUCI created")
# Create stream file for display
reclassifyRanges = RemapRange(
[[0, float(minAccThresh), "NODATA"],
[float(minAccThresh),
float(majAccThresh), 1],
[float(majAccThresh), 99999999999999, 2]])
streamsRaster = Reclassify(streamAccHaFile, "Value",
reclassifyRanges, "NODATA")
streamOrderRaster = StreamOrder(streamsRaster, hydFDR,
"STRAHLER")
streamsRaster.save(streamsRasterFile)
# Create two streams feature classes - one for analysis and one for display
arcpy.sa.StreamToFeature(streamOrderRaster, hydFDR,
streams, 'NO_SIMPLIFY')
arcpy.sa.StreamToFeature(streamOrderRaster, hydFDR,
streamDisplay, 'SIMPLIFY')
# Rename grid_code column to 'Strahler'
for streamFC in [streams, streamDisplay]:
arcpy.AddField_management(streamFC, "Strahler", "LONG")
arcpy.CalculateField_management(
streamFC, "Strahler", "!GRID_CODE!", "PYTHON_9.3")
arcpy.DeleteField_management(streamFC, "GRID_CODE")
del streamsRaster
del streamOrderRaster
log.info("Stream files created")
else:
warning = 'No streams initiated'
log.warning(warning)
common.logWarnings(outputFolder, warning)
# Create LUCIStream file from multiplier raster (i.e. all cells have value of 1 = no stream)
arcpy.CopyRaster_management(multRaster, streamInvRas)
progress.logProgress(codeBlock, outputFolder)
codeBlock = 'Clip data, build pyramids and generate statistics'
if not progress.codeSuccessfullyRun(codeBlock, outputFolder, rerun):
try:
# Generate pyramids and stats
arcpy.BuildPyramidsandStatistics_management(
outputFolder, "", "", "", "")
log.info(
"Pyramids and Statistics calculated for all LUCI topographical information rasters"
)
except Exception:
log.info("Warning - could not generate all raster statistics")
progress.logProgress(codeBlock, outputFolder)
# Reset snap raster
arcpy.env.snapRaster = None
except Exception:
log.error("Error in preprocessing operations")
raise
def arc_catch_del(WD, boundary_shp, sites_shp, site_num_col='site', point_dis=1000, stream_depth=10, grid_size=8, pour_dis=20, streams='S:/Surface Water/shared\\GIS_base\\vector\\MFE_REC_rivers_no_1st.shp', dem='S:/Surface Water/shared\\GIS_base\\raster\\DEM_8m_2012\\linz_8m_dem', export_dir='results', overwrite_rasters=False):
"""
Arcpy function to delineate catchments based on specific points, a polygon, and the REC rivers layer.
Arcpy must be installed.
Be careful that the folder path isn't too long!!! Do not have spaces in the path name!!! Arc sucks!!!
Parameters:
WD: str
Working directory.
boundary_shp: str
The path to the shapefile polygon boundary extent.
sites_shp: str
The path to the sites shapefile.
site_num_col: str
The column in the sites_shp that contains the site IDs.
point_dis: int
The max distance to snap the sites to the nearest stream line.
stream_depth: int
The depth that the streams shapefile should be burned into the dem.
grid_size: int
The resolution of the dem.
streams: str
The path to the streams shapefile.
dem: str
The path to the dem.
export_dir: str
The subfolder where the results should be saved.
overwrite_rasters: bool
Should the flow direction and flow accumulation rasters be overwritten?
Returns
-------
None
"""
# load in the necessary arcpy libraries to import arcpy
sys.path.append('C:\\Python27\\ArcGIS10.4\\Lib\\site-packages')
sys.path.append(r'C:\Program Files (x86)\ArcGIS\Desktop10.4\arcpy')
sys.path.append(r'C:\Program Files (x86)\ArcGIS\Desktop10.4\ArcToolbox\Scripts')
sys.path.append(r'C:\Program Files (x86)\ArcGIS\Desktop10.4\bin')
sys.path.append('C:\\Python27\\ArcGIS10.4\\lib')
# Import packages
import arcpy
from arcpy import env
from arcpy.sa import Raster, Con, IsNull, FlowDirection, FlowAccumulation, Fill, SnapPourPoint, Watershed
#import ArcHydroTools as ah
# Check out spatial analyst license
arcpy.CheckOutExtension('Spatial')
# Define functions
# def snap_points(points, lines, distance):
#
# import arcgisscripting, sys
#
# gp = arcgisscripting.create()
#
# # Load the Analysis toolbox so that the Near tool is available
# gp.toolbox = "analysis"
#
# # Perform the Near operation looking for the nearest line
# # (from the lines Feature Class) to each point (from the
# # points Feature Class). The third argument is the search
# # radius - blank means to search as far as is needed. The
# # fourth argument instructs the command to output the
# # X and Y co-ordinates of the nearest point found to the
# # NEAR_X and NEAR_Y fields of the points Feature Class
# gp.near(points, lines, str(distance), "LOCATION")
#
# # Create an update cursor for the points Feature Class
# # making sure that the NEAR_X and NEAR_Y fields are included
# # in the return data
# rows = gp.UpdateCursor(points, "", "", "NEAR_X, NEAR_Y")
#
# row = rows.Next()
#
# # For each row
# while row:
# # Get the location of the nearest point on one of the lines
# # (added to the file as fields by the Near operation above
# new_x = row.GetValue("NEAR_X")
# new_y = row.GetValue("NEAR_Y")
#
# # Create a new point object with the new x and y values
# point = gp.CreateObject("Point")
# point.x = new_x
# point.y = new_y
#
# # Assign it to the shape field
# row.shape = point
#
# # Update the row data and move to the next row
# rows.UpdateRow(row)
# row = rows.Next()
def snap_points(points, lines, distance):
"""
Ogi's updated snap_points function.
"""
points = arcpy.Near_analysis(points, lines, str(distance), "LOCATION")
# Create an update cursor for the points Feature Class
# making sure that the NEAR_X and NEAR_Y fields are included
# in the return data
with arcpy.da.UpdateCursor(points, ["NEAR_X", "NEAR_Y", "SHAPE@XY"]) as cursor:
for row in cursor:
x, y, shape_xy = row
shape_xy = (x, y)
cursor.updateRow([x, y, shape_xy])
return(points)
### Parameters:
## input
# Necessary to change
env.workspace = WD
boundary = boundary_shp
sites_in = sites_shp
# site_num_col = 'site'
# May not be necessary to change
final_export_dir = export_dir
# streams = 'S:/Surface Water/shared\\GIS_base\\vector\\MFE_REC_rivers_no_1st.shp'
# dem = 'S:/Surface Water/shared\\GIS_base\\raster\\DEM_8m_2012\\linz_8m_dem'
env.extent = boundary
arcpy.env.overwriteOutput = True
## output
bound = 'bound_diss.shp'
sites = 'sites_bound.shp'
streams_loc = 'MFE_streams_loc.shp'
dem_loc = 'dem_loc.tif'
stream_diss = 'MFE_rivers_diss.shp'
stream_rast = 'stream_rast.tif'
dem_diff_tif = 'dem_diff.tif'
dem_fill_tif = 'dem_fill.tif'
fd_tif = 'fd1.tif'
accu_tif = 'accu1.tif'
catch_poly = 'catch_del.shp'
if not os.path.exists(os.path.join(env.workspace, final_export_dir)):
os.makedirs(os.path.join(env.workspace, final_export_dir))
##########################
#### Processing
### Process sites and streams vectors
# Dissolve boundary for faster processing
arcpy.Dissolve_management(boundary, bound)
# Clip sites and streams to boundary
arcpy.Clip_analysis(streams, bound, streams_loc)
arcpy.Clip_analysis(sites_in, bound, sites)
# Snap sites to streams layer
snap_points(sites, streams_loc, point_dis)
# Dissolve stream network
arcpy.Dissolve_management(streams_loc, stream_diss, "", "", "MULTI_PART", "DISSOLVE_LINES")
# Add raster parameters to streams layer
arcpy.AddField_management(stream_diss, "rast", "SHORT")
arcpy.CalculateField_management(stream_diss, "rast", stream_depth, "PYTHON_9.3")
############################################
### Delineate catchments
# Convert stream vector to raster
arcpy.FeatureToRaster_conversion(stream_diss, 'rast', stream_rast, grid_size)
## Create the necessary flow direction and accumulation rasters if they do not already exist
if os.path.exists(os.path.join(env.workspace, accu_tif)) & (not overwrite_rasters):
accu1 = Raster(accu_tif)
fd1 = Raster(fd_tif)
else:
# Clip the DEM to the study area
print('clipping DEM to catchment area...')
arcpy.Clip_management(dem, "1323813.1799 5004764.9257 1688157.0305 5360238.95", dem_loc, bound, "", "ClippingGeometry", "NO_MAINTAIN_EXTENT")
# Fill holes in DEM
print('Filling DEM...')
# dem_fill = Fill(dem_loc)
# Subtract stream raster from
s_rast = Raster(stream_rast)
dem_diff = Con(IsNull(s_rast), dem_loc, dem_loc - s_rast)
dem_diff.save(dem_diff_tif)
# Fill holes in DEM
dem2 = Fill(dem_diff_tif)
dem2.save(dem_fill_tif)
# flow direction
print('Flow direction...')
fd1 = FlowDirection(dem2)
fd1.save(fd_tif)
# flow accu
print('Flow accumulation...')
accu1 = FlowAccumulation(fd1)
accu1.save(accu_tif)
# create pour points
pp1 = SnapPourPoint(sites, accu1, pour_dis, site_num_col)
# Determine the catchments for all points
catch1 = Watershed(fd1, pp1)
# Convert raster to polygon
arcpy.RasterToPolygon_conversion(catch1, catch_poly, 'SIMPLIFY', 'Value')
# Add in a field for the area of each catchment
arcpy.AddField_management(catch_poly, "area_m2", "LONG")
arcpy.CalculateField_management(catch_poly, "area_m2", 'round(!shape.area!)', "PYTHON_9.3")
#### Check back in the spatial analyst license once done
arcpy.CheckInExtension('Spatial')
def calculate_topographic_properties(**kwargs):
"""
Description: calculates topographic properties from an elevation raster
Inputs: 'z_unit' -- a string value of either 'Meter' or 'Foot' representing the vertical unit of the elevation raster
'input_array' -- an array containing the grid raster (must be first) and the elevation raster
'output_array' -- an array containing the output rasters for aspect, compound topographic index, heat load index, integrated moisture index, roughness, site exposure, slope, surface area ratio, and surface relief ratio (in that order)
Returned Value: Returns a raster dataset on disk for each topographic property
Preconditions: requires an input DEM that can be created through other scripts in this repository
"""
# Import packages
import arcpy
from arcpy.sa import Con
from arcpy.sa import IsNull
from arcpy.sa import ExtractByMask
from arcpy.sa import Raster
from arcpy.sa import Int
from arcpy.sa import FlowDirection
from arcpy.sa import FlowAccumulation
from arcpy.sa import Slope
from arcpy.sa import Aspect
from package_Geomorphometry import compound_topographic
from package_Geomorphometry import getZFactor
from package_Geomorphometry import linear_aspect
from package_Geomorphometry import mean_slope
from package_Geomorphometry import roughness
from package_Geomorphometry import site_exposure
from package_Geomorphometry import surface_area
from package_Geomorphometry import surface_relief
from package_Geomorphometry import topographic_position
from package_Geomorphometry import topographic_radiation
import datetime
import os
import time
# Parse key word argument inputs
z_unit = kwargs['z_unit']
grid_raster = kwargs['input_array'][0]
elevation_input = kwargs['input_array'][1]
elevation_output = kwargs['output_array'][0]
aspect_output = kwargs['output_array'][1]
cti_output = kwargs['output_array'][2]
roughness_output = kwargs['output_array'][3]
exposure_output = kwargs['output_array'][4]
slope_output = kwargs['output_array'][5]
area_output = kwargs['output_array'][6]
relief_output = kwargs['output_array'][7]
position_output = kwargs['output_array'][8]
radiation_output = kwargs['output_array'][9]
# Set overwrite option
arcpy.env.overwriteOutput = True
# Use two thirds of cores on processes that can be split.
arcpy.env.parallelProcessingFactor = "75%"
# Set snap raster and extent
arcpy.env.snapRaster = grid_raster
arcpy.env.extent = Raster(grid_raster).extent
# Define folder structure
grid_title = os.path.splitext(os.path.split(grid_raster)[1])[0]
raster_folder = os.path.split(elevation_output)[0]
intermediate_folder = os.path.join(raster_folder, 'intermediate')
# Create raster folder if it does not already exist
if os.path.exists(raster_folder) == 0:
os.mkdir(raster_folder)
# Create intermediate folder if it does not already exist
if os.path.exists(intermediate_folder) == 0:
os.mkdir(intermediate_folder)
# Define intermediate datasets
flow_direction_raster = os.path.join(intermediate_folder,
'flow_direction.tif')
flow_accumulation_raster = os.path.join(intermediate_folder,
'flow_accumulation.tif')
raw_slope_raster = os.path.join(intermediate_folder, 'raw_slope.tif')
raw_aspect_raster = os.path.join(intermediate_folder, 'raw_aspect.tif')
# Get the z factor appropriate to the xy and z units
zFactor = getZFactor(elevation_input, z_unit)
#### CALCULATE INTERMEDIATE DATASETS
# Calculate flow direction if it does not already exist
if os.path.exists(flow_direction_raster) == 0:
# Calculate flow direction
print(f'\tCalculating flow direction for {grid_title}...')
iteration_start = time.time()
flow_direction = FlowDirection(elevation_input, 'NORMAL', '', 'D8')
flow_direction.save(flow_direction_raster)
# End timing
iteration_end = time.time()
iteration_elapsed = int(iteration_end - iteration_start)
iteration_success_time = datetime.datetime.now()
# Report success
print(
f'\tCompleted at {iteration_success_time.strftime("%Y-%m-%d %H:%M")} (Elapsed time: {datetime.timedelta(seconds=iteration_elapsed)})'
)
print('\t----------')
else:
print(f'\tFlow direction already exists for {grid_title}.')
print('\t----------')
# Calculate flow accumulation if it does not already exist
if os.path.exists(flow_accumulation_raster) == 0:
# Calculate flow accumulation
print(f'\tCalculating flow accumulation for {grid_title}...')
iteration_start = time.time()
flow_accumulation = FlowAccumulation(flow_direction_raster, '',
'FLOAT', 'D8')
flow_accumulation.save(flow_accumulation_raster)
# End timing
iteration_end = time.time()
iteration_elapsed = int(iteration_end - iteration_start)
iteration_success_time = datetime.datetime.now()
# Report success
print(
f'\tCompleted at {iteration_success_time.strftime("%Y-%m-%d %H:%M")} (Elapsed time: {datetime.timedelta(seconds=iteration_elapsed)})'
)
print('\t----------')
else:
print(f'\tFlow accumulation already exists for {grid_title}.')
print('\t----------')
# Calculate raw slope in degrees if it does not already exist
if os.path.exists(raw_slope_raster) == 0:
# Calculate slope
print(f'\tCalculating raw slope for {grid_title}...')
iteration_start = time.time()
raw_slope = Slope(elevation_input, "DEGREE", zFactor)
raw_slope.save(raw_slope_raster)
# End timing
iteration_end = time.time()
iteration_elapsed = int(iteration_end - iteration_start)
iteration_success_time = datetime.datetime.now()
# Report success
print(
f'\tCompleted at {iteration_success_time.strftime("%Y-%m-%d %H:%M")} (Elapsed time: {datetime.timedelta(seconds=iteration_elapsed)})'
)
print('\t----------')
else:
print(f'\tRaw slope already exists for {grid_title}.')
print('\t----------')
# Calculate raw aspect if it does not already exist
if os.path.exists(raw_aspect_raster) == 0:
# Calculate aspect
print(f'\tCalculating raw aspect for {grid_title}...')
iteration_start = time.time()
raw_aspect = Aspect(elevation_input, 'PLANAR', z_unit)
raw_aspect.save(raw_aspect_raster)
# End timing
iteration_end = time.time()
iteration_elapsed = int(iteration_end - iteration_start)
iteration_success_time = datetime.datetime.now()
# Report success
print(
f'\tCompleted at {iteration_success_time.strftime("%Y-%m-%d %H:%M")} (Elapsed time: {datetime.timedelta(seconds=iteration_elapsed)})'
)
print('\t----------')
else:
print(f'\tRaw aspect already exists for {grid_title}.')
print('\t----------')
#### CALCULATE INTEGER ELEVATION
# Calculate integer elevation if it does not already exist
if arcpy.Exists(elevation_output) == 0:
print(f'\tCalculating integer elevation for {grid_title}...')
iteration_start = time.time()
# Round to integer
print(f'\t\tConverting values to integers...')
integer_elevation = Int(Raster(elevation_input) + 0.5)
# Copy extracted raster to output
print(f'\t\tCreating output raster...')
arcpy.management.CopyRaster(integer_elevation, elevation_output, '',
'', '-32768', 'NONE', 'NONE',
'16_BIT_SIGNED', 'NONE', 'NONE', 'TIFF',
'NONE')
# End timing
iteration_end = time.time()
iteration_elapsed = int(iteration_end - iteration_start)
iteration_success_time = datetime.datetime.now()
# Report success
print(
f'\tCompleted at {iteration_success_time.strftime("%Y-%m-%d %H:%M")} (Elapsed time: {datetime.timedelta(seconds=iteration_elapsed)})'
)
print('\t----------')
else:
print(f'\tInteger elevation already exists for {grid_title}.')
print('\t----------')
#### CALCULATE LINEAR ASPECT
# Calculate linear aspect if it does not already exist
if arcpy.Exists(aspect_output) == 0:
print(f'\tCalculating linear aspect for {grid_title}...')
iteration_start = time.time()
# Create an initial linear aspect calculation using the linear aspect function
aspect_intermediate = os.path.splitext(
aspect_output)[0] + '_intermediate.tif'
linear_aspect(raw_aspect_raster, aspect_intermediate)
# Round to integer
print(f'\t\tConverting values to integers...')
integer_aspect = Int(Raster(aspect_intermediate) + 0.5)
# Fill missing data (no aspect) with values of -1
print(f'\t\tFilling values of no aspect...')
conditional_aspect = Con(IsNull(integer_aspect), -1, integer_aspect)
# Extract filled raster to grid mask
print(f'\t\tExtracting filled raster to grid...')
extract_aspect = ExtractByMask(conditional_aspect, grid_raster)
# Copy extracted raster to output
print(f'\t\tCreating output raster...')
arcpy.management.CopyRaster(extract_aspect, aspect_output, '', '',
'-32768', 'NONE', 'NONE', '16_BIT_SIGNED',
'NONE', 'NONE', 'TIFF', 'NONE')
# End timing
iteration_end = time.time()
iteration_elapsed = int(iteration_end - iteration_start)
iteration_success_time = datetime.datetime.now()
# Delete intermediate dataset if possible
try:
arcpy.management.Delete(aspect_intermediate)
except:
print('\t\tCould not delete intermediate dataset...')
# Report success
print(
f'\tCompleted at {iteration_success_time.strftime("%Y-%m-%d %H:%M")} (Elapsed time: {datetime.timedelta(seconds=iteration_elapsed)})'
)
print('\t----------')
else:
print(f'\tLinear aspect already exists for {grid_title}.')
print('\t----------')
#### CALCULATE COMPOUND TOPOGRAPHIC INDEX
# Calculate compound topographic index if it does not already exist
if arcpy.Exists(cti_output) == 0:
print(f'\tCalculating compound topographic index for {grid_title}...')
iteration_start = time.time()
# Create an intermediate compound topographic index calculation
cti_intermediate = os.path.splitext(
cti_output)[0] + '_intermediate.tif'
compound_topographic(elevation_input, flow_accumulation_raster,
raw_slope_raster, cti_intermediate)
# Convert to integer values
print(f'\t\tConverting values to integers...')
integer_compound = Int((Raster(cti_intermediate) * 100) + 0.5)
# Copy integer raster to output
print(f'\t\tCreating output raster...')
arcpy.management.CopyRaster(integer_compound, cti_output, '', '',
'-32768', 'NONE', 'NONE', '16_BIT_SIGNED',
'NONE', 'NONE', 'TIFF', 'NONE')
# End timing
iteration_end = time.time()
iteration_elapsed = int(iteration_end - iteration_start)
iteration_success_time = datetime.datetime.now()
# Delete intermediate dataset if possible
try:
arcpy.management.Delete(cti_intermediate)
except:
print('\t\tCould not delete intermediate dataset...')
# Report success
print(
f'\tCompleted at {iteration_success_time.strftime("%Y-%m-%d %H:%M")} (Elapsed time: {datetime.timedelta(seconds=iteration_elapsed)})'
)
print('\t----------')
else:
print(f'\tCompound topographic index already exists for {grid_title}.')
print('\t----------')
#### CALCULATE ROUGHNESS
# Calculate roughness if it does not already exist
if arcpy.Exists(roughness_output) == 0:
print(f'\tCalculating roughness for {grid_title}...')
iteration_start = time.time()
# Create an intermediate compound topographic index calculation
roughness_intermediate = os.path.splitext(
roughness_output)[0] + '_intermediate.tif'
roughness(elevation_input, roughness_intermediate)
# Convert to integer values
print(f'\t\tConverting values to integers...')
integer_roughness = Int(Raster(roughness_intermediate) + 0.5)
# Fill missing data (no aspect) with values of 0
print(f'\t\tFilling values of roughness...')
conditional_roughness = Con(IsNull(integer_roughness), 0,
integer_roughness)
# Extract filled raster to grid mask
print(f'\t\tExtracting filled raster to grid...')
extract_roughness = ExtractByMask(conditional_roughness, grid_raster)
# Copy extracted raster to output
print(f'\t\tCreating output raster...')
arcpy.management.CopyRaster(extract_roughness, roughness_output, '',
'', '-32768', 'NONE', 'NONE',
'16_BIT_SIGNED', 'NONE', 'NONE', 'TIFF',
'NONE')
# End timing
iteration_end = time.time()
iteration_elapsed = int(iteration_end - iteration_start)
iteration_success_time = datetime.datetime.now()
# Delete intermediate dataset if possible
try:
arcpy.management.Delete(roughness_intermediate)
except:
print('\t\tCould not delete intermediate dataset...')
# Report success
print(
f'\tCompleted at {iteration_success_time.strftime("%Y-%m-%d %H:%M")} (Elapsed time: {datetime.timedelta(seconds=iteration_elapsed)})'
)
print('\t----------')
else:
print(f'\tRoughness already exists for {grid_title}.')
print('\t----------')
#### CALCULATE SITE EXPOSURE
# Calculate site exposure if it does not already exist
if arcpy.Exists(exposure_output) == 0:
print(f'\tCalculating site exposure for {grid_title}...')
iteration_start = time.time()
# Create an intermediate compound topographic index calculation
exposure_intermediate = os.path.splitext(
exposure_output)[0] + '_intermediate.tif'
site_exposure(raw_aspect_raster, raw_slope_raster,
exposure_intermediate)
# Convert to integer values
print(f'\t\tConverting values to integers...')
integer_exposure = Int((Raster(exposure_intermediate) * 100) + 0.5)
# Copy extracted raster to output
print(f'\t\tCreating output raster...')
arcpy.management.CopyRaster(integer_exposure, exposure_output, '', '',
'-32768', 'NONE', 'NONE', '16_BIT_SIGNED',
'NONE', 'NONE', 'TIFF', 'NONE')
# End timing
iteration_end = time.time()
iteration_elapsed = int(iteration_end - iteration_start)
iteration_success_time = datetime.datetime.now()
# Delete intermediate dataset if possible
try:
arcpy.management.Delete(exposure_intermediate)
except:
print('\t\tCould not delete intermediate dataset...')
# Report success
print(
f'\tCompleted at {iteration_success_time.strftime("%Y-%m-%d %H:%M")} (Elapsed time: {datetime.timedelta(seconds=iteration_elapsed)})'
)
print('\t----------')
else:
print(f'\tSite exposure already exists for {grid_title}.')
print('\t----------')
#### CALCULATE MEAN SLOPE
# Calculate mean slope if it does not already exist
if arcpy.Exists(slope_output) == 0:
print(f'\tCalculating mean slope for {grid_title}...')
iteration_start = time.time()
# Create an intermediate mean slope calculation
slope_intermediate = os.path.splitext(
slope_output)[0] + '_intermediate.tif'
mean_slope(raw_slope_raster, slope_intermediate)
# Convert to integer values
print(f'\t\tConverting values to integers...')
integer_slope = Int(Raster(slope_intermediate) + 0.5)
# Copy extracted raster to output
print(f'\t\tCreating output raster...')
arcpy.management.CopyRaster(integer_slope, slope_output, '', '',
'-128', 'NONE', 'NONE', '8_BIT_SIGNED',
'NONE', 'NONE', 'TIFF', 'NONE')
# End timing
iteration_end = time.time()
iteration_elapsed = int(iteration_end - iteration_start)
iteration_success_time = datetime.datetime.now()
# Delete intermediate dataset if possible
try:
arcpy.management.Delete(slope_intermediate)
except:
print('\t\tCould not delete intermediate dataset...')
# Report success
print(
f'\tCompleted at {iteration_success_time.strftime("%Y-%m-%d %H:%M")} (Elapsed time: {datetime.timedelta(seconds=iteration_elapsed)})'
)
print('\t----------')
else:
print(f'\tMean slope already exists for {grid_title}.')
print('\t----------')
#### CALCULATE SURFACE AREA RATIO
# Calculate surface area ratio if it does not already exist
if os.path.exists(area_output) == 0:
print(f'\tCalculating surface area ratio for {grid_title}...')
iteration_start = time.time()
# Create an intermediate surface area ratio calculation
area_intermediate = os.path.splitext(
area_output)[0] + '_intermediate.tif'
surface_area(raw_slope_raster, area_intermediate)
# Convert to integer values
print(f'\t\tConverting values to integers...')
integer_area = Int((Raster(area_intermediate) * 10) + 0.5)
# Copy extracted raster to output
print(f'\t\tCreating output raster...')
arcpy.management.CopyRaster(integer_area, area_output, '', '',
'-32768', 'NONE', 'NONE', '16_BIT_SIGNED',
'NONE', 'NONE', 'TIFF', 'NONE')
# End timing
iteration_end = time.time()
iteration_elapsed = int(iteration_end - iteration_start)
iteration_success_time = datetime.datetime.now()
# Delete intermediate dataset if possible
try:
arcpy.management.Delete(area_intermediate)
except:
print('\t\tCould not delete intermediate dataset...')
# Report success
print(
f'\tCompleted at {iteration_success_time.strftime("%Y-%m-%d %H:%M")} (Elapsed time: {datetime.timedelta(seconds=iteration_elapsed)})'
)
print('\t----------')
else:
print(f'\tSurface area ratio already exists for {grid_title}.')
print('\t----------')
#### CALCULATE SURFACE RELIEF RATIO
# Calculate surface relief ratio if it does not already exist
if arcpy.Exists(relief_output) == 0:
print(f'\tCalculating surface relief ratio for {grid_title}...')
iteration_start = time.time()
# Create an intermediate surface relief ratio calculation
relief_intermediate = os.path.splitext(
relief_output)[0] + '_intermediate.tif'
surface_relief(elevation_input, relief_intermediate)
# Convert to integer values
print(f'\t\tConverting values to integers...')
integer_relief = Int((Raster(relief_intermediate) * 1000) + 0.5)
# Copy extracted raster to output
print(f'\t\tCreating output raster...')
arcpy.management.CopyRaster(integer_relief, relief_output, '', '',
'-32768', 'NONE', 'NONE', '16_BIT_SIGNED',
'NONE', 'NONE', 'TIFF', 'NONE')
# End timing
iteration_end = time.time()
iteration_elapsed = int(iteration_end - iteration_start)
iteration_success_time = datetime.datetime.now()
# Delete intermediate dataset if possible
try:
arcpy.management.Delete(relief_intermediate)
except:
print('\t\tCould not delete intermediate dataset...')
# Report success
print(
f'\tCompleted at {iteration_success_time.strftime("%Y-%m-%d %H:%M")} (Elapsed time: {datetime.timedelta(seconds=iteration_elapsed)})'
)
print('\t----------')
else:
print(f'\tSurface relief ratio already exists for {grid_title}.')
print('\t----------')
#### CALCULATE TOPOGRAPHIC POSITION
# Calculate topographic position if it does not already exist
if arcpy.Exists(position_output) == 0:
print(f'\tCalculating topographic position for {grid_title}...')
iteration_start = time.time()
# Create an intermediate topographic position calculation
position_intermediate = os.path.splitext(
position_output)[0] + '_intermediate.tif'
topographic_position(elevation_input, position_intermediate)
# Convert to integer values
print(f'\t\tConverting values to integers...')
integer_position = Int((Raster(position_intermediate) * 100) + 0.5)
# Copy extracted raster to output
print(f'\t\tCreating output raster...')
arcpy.management.CopyRaster(integer_position, position_output, '', '',
'-32768', 'NONE', 'NONE', '16_BIT_SIGNED',
'NONE', 'NONE', 'TIFF', 'NONE')
# End timing
iteration_end = time.time()
iteration_elapsed = int(iteration_end - iteration_start)
iteration_success_time = datetime.datetime.now()
# Delete intermediate dataset if possible
try:
arcpy.management.Delete(position_intermediate)
except:
print('\t\tCould not delete intermediate dataset...')
# Report success
print(
f'\tCompleted at {iteration_success_time.strftime("%Y-%m-%d %H:%M")} (Elapsed time: {datetime.timedelta(seconds=iteration_elapsed)})'
)
print('\t----------')
else:
print(f'\tTopographic position already exists for {grid_title}.')
print('\t----------')
#### CALCULATE TOPOGRAPHIC RADIATION
# Calculate topographic radiation if it does not already exist
if arcpy.Exists(radiation_output) == 0:
print(f'\tCalculating topographic radiation for {grid_title}...')
iteration_start = time.time()
# Create an intermediate topographic position calculation
radiation_intermediate = os.path.splitext(
radiation_output)[0] + '_intermediate.tif'
radiation_integer = os.path.splitext(
radiation_output)[0] + '_integer.tif'
topographic_radiation(elevation_input, radiation_intermediate)
# Convert to integer values
print(f'\t\tConverting values to integers...')
integer_radiation = Int((Raster(radiation_intermediate) * 1000) + 0.5)
arcpy.management.CopyRaster(integer_radiation, radiation_integer, '',
'', '-32768', 'NONE', 'NONE',
'16_BIT_SIGNED', 'NONE', 'NONE', 'TIFF',
'NONE')
# Extract filled raster to grid mask
print(f'\t\tExtracting integer raster to grid...')
extract_radiation = ExtractByMask(radiation_integer, grid_raster)
# Copy extracted raster to output
print(f'\t\tCreating output raster...')
arcpy.management.CopyRaster(extract_radiation, radiation_output, '',
'', '-32768', 'NONE', 'NONE',
'16_BIT_SIGNED', 'NONE', 'NONE', 'TIFF',
'NONE')
# End timing
iteration_end = time.time()
iteration_elapsed = int(iteration_end - iteration_start)
iteration_success_time = datetime.datetime.now()
# Delete intermediate dataset if possible
try:
arcpy.management.Delete(radiation_intermediate)
arcpy.management.Delete(radiation_integer)
except:
print('\t\tCould not delete intermediate dataset...')
# Report success
print(
f'\tCompleted at {iteration_success_time.strftime("%Y-%m-%d %H:%M")} (Elapsed time: {datetime.timedelta(seconds=iteration_elapsed)})'
)
print('\t----------')
else:
print(f'\tTopographic radiation already exists for {grid_title}.')
print('\t----------')
outprocess = f'Finished topographic properties for {grid_title}.'
return outprocess