def run(self, *args, **kwargs):
""" Run the command: Acquire Australian soils data.
Arguments:
verbose -- boolean Produce verbose output. Default: False.
overwrite -- boolean Overwrite existing output. Default: False.
"""
verbose = kwargs.get('verbose', False)
overwrite = kwargs.get('overwrite', False)
self.checkMetadata()
bbox = bboxFromString(self.studyArea['bbox_wgs84'])
try:
rasters = getSoilsRasterDataForBoundingBox(
self.context.config,
self.context.projectDir,
bbox,
srs=self.studyArea['dem_srs'],
resx=self.studyArea['dem_res_x'],
resy=self.studyArea['dem_res_y'],
overwrite=overwrite,
verbose=verbose,
outfp=self.outfp)
except Exception as e:
traceback.print_exc(file=self.outfp)
raise RunException(e)
# Write metadata entries
cmdline = GenericMetadata.getCommandLine()
for attr in list(rasters.keys()):
(filepath, url) = rasters[attr]
filename = os.path.basename(filepath)
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = attr
asset.dcIdentifier = filename
asset.dcSource = url
asset.dcTitle = attr
asset.dcPublisher = soilwcs.DC_PUBLISHER
asset.dcDescription = cmdline
asset.writeToMetadata(self.context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(self.context, cmdline)
def run(self, *args, **kwargs):
""" Run the command: Acquire Australian soils data.
Arguments:
verbose -- boolean Produce verbose output. Default: False.
overwrite -- boolean Overwrite existing output. Default: False.
"""
verbose = kwargs.get('verbose', False)
overwrite = kwargs.get('overwrite', False)
self.checkMetadata()
bbox = bboxFromString(self.studyArea['bbox_wgs84'])
try:
rasters = getSoilsRasterDataForBoundingBox(self.context.config,
self.context.projectDir,
bbox,
srs=self.studyArea['dem_srs'],
resx=self.studyArea['dem_res_x'],
resy=self.studyArea['dem_res_y'],
overwrite=overwrite,
verbose=verbose,
outfp=self.outfp)
except Exception as e:
traceback.print_exc(file=self.outfp)
raise RunException(e)
# Write metadata entries
cmdline = GenericMetadata.getCommandLine()
for attr in rasters.keys():
(filepath, url) = rasters[attr]
filename = os.path.basename(filepath)
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = attr
asset.dcIdentifier = filename
asset.dcSource = url
asset.dcTitle = attr
asset.dcPublisher = soilwcs.DC_PUBLISHER
asset.dcDescription = cmdline
asset.writeToMetadata(self.context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(self.context, cmdline)
s_srs=t_srs, t_srs=t_srs, \
trX=demResolutionX, trY=demResolutionY)
sys.stdout.write('done\n')
else:
shutil.move(tmpDEMFilepath, demFilepath)
# Write metadata
GenericMetadata.writeStudyAreaEntry(context, 'dem_res_x', demResolutionX)
GenericMetadata.writeStudyAreaEntry(context, 'dem_res_y', demResolutionY)
GenericMetadata.writeStudyAreaEntry(context, 'dem_srs', t_srs)
# Get rows and columns for DEM
(columns, rows) = getDimensionsForRaster(demFilepath)
GenericMetadata.writeStudyAreaEntry(context, 'dem_columns', columns)
GenericMetadata.writeStudyAreaEntry(context, 'dem_rows', rows)
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'dem'
asset.dcIdentifier = demFilename
asset.dcSource = demURL
asset.dcTitle = demwcs.COVERAGE_DESC[args.demType]
asset.dcPublisher = 'Geoscience Australia'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
# Clean-up
deleteGeoTiff(tmpDEMFilepath)
def run(self, *args, **kwargs):
""" Run the command: Acquire USGS DEM data.
Arguments:
coverage -- string Source dataset from which DEM tile should be extracted.
outfile -- string The name of the DEM file to be written. File extension ".tif" will be added.
demResolution list<float>[2] Two floating point numbers representing the desired X and Y output resolution of soil property raster maps; unit: meters.
srs -- string Target spatial reference system of output, in EPSG:num format.
verbose -- boolean Produce verbose output. Default: False.
overwrite -- boolean Overwrite existing output. Default: False.
"""
coverage = kwargs.get('coverage', self.DEFAULT_COVERAGE)
outfile = kwargs.get('outfile', None)
demResolution = kwargs.get('demResolution', None)
srs = kwargs.get('srs', None)
verbose = kwargs.get('verbose', False)
overwrite = kwargs.get('overwrite', False)
self.checkMetadata()
bbox = bboxFromString(self.studyArea['bbox_wgs84'])
if not outfile:
outfile = 'DEM'
demFilename = "%s.tif" % (outfile)
demResolutionX = demResolutionY = None
if demResolution:
demResolutionX = demResolution[0]
demResolutionY = demResolution[1]
if srs:
if not isValidSrs(srs):
msg = "ERROR: '%s' is not a valid spatial reference. Spatial reference must be of the form 'EPSG:XXXX', e.g. 'EPSG:32617'. For more information, see: http://www.spatialreference.org/" % (srs,)
raise RunException(msg)
else:
# Default for UTM
(centerLon, centerLat) = calculateBoundingBoxCenter(bbox)
(utmZone, isNorth) = getUTMZoneFromCoordinates(centerLon, centerLat)
srs = getEPSGStringForUTMZone(utmZone, isNorth)
try:
(dataFetched, urlFetched) = ecohydrolib.usgs.demwcs.getDEMForBoundingBox(self.context.config,
self.context.projectDir,
demFilename,
bbox,
srs,
coverage=coverage,
resx=demResolutionX,
resy=demResolutionY,
scale=0.01,
overwrite=overwrite,
verbose=verbose,
outfp=self.outfp)
except Exception as e:
traceback.print_exc(file=self.outfp)
raise RunException(e)
if not dataFetched:
raise RunException("Failed to download DEM data from URL {0}".format(urlFetched))
# Write metadata entries
cmdline = GenericMetadata.getCommandLine()
# Write metadata
demFilepath = os.path.join(self.context.projectDir, demFilename)
demSrs = getSpatialReferenceForRaster(demFilepath)
GenericMetadata.writeStudyAreaEntry(self.context, 'dem_res_x', demSrs[0])
GenericMetadata.writeStudyAreaEntry(self.context, 'dem_res_y', demSrs[1])
GenericMetadata.writeStudyAreaEntry(self.context, 'dem_srs', srs)
# Get rows and columns for DEM
(columns, rows) = getDimensionsForRaster(demFilepath)
GenericMetadata.writeStudyAreaEntry(self.context, 'dem_columns', columns)
GenericMetadata.writeStudyAreaEntry(self.context, 'dem_rows', rows)
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'dem'
asset.dcIdentifier = demFilename
asset.dcSource = urlFetched
asset.dcTitle = "Digital Elevation Model ({0})".format(coverage)
asset.dcPublisher = 'U.S. Geological Survey'
asset.dcDescription = cmdline
asset.processingNotes = "Elevation values rescaled from centimeters to meters. "
asset.processingNotes += "Spatial grid resampled to {srs} with X resolution {xres} and Y resolution {yres}."
asset.processingNotes = asset.processingNotes.format(srs=srs,
xres=demSrs[0],
yres=demSrs[1])
asset.writeToMetadata(self.context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(self.context, cmdline)
else:
publisher = 'SELF PUBLISHED'
if not context.config.has_option('GDAL/OGR', 'PATH_OF_OGR2OGR'):
sys.exit("Config file %s does not define option %s in section %s" & \
(args.configfile, 'GDAL/OGR', 'PATH_OF_OGR2OGR'))
if not os.access(args.studyAreaLayer, os.R_OK):
raise IOError(errno.EACCES,
"Not allowed to read input study area %s" (args.demfile, ))
inStudyAreaPath = os.path.abspath(args.studyAreaLayer)
shpFilename = convertFeatureLayerToShapefile(context.config,
context.projectDir,
inStudyAreaPath,
"studyarea",
overwrite=args.overwrite)
# Write metadata
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'study_area_shapefile'
asset.dcIdentifier = shpFilename
asset.dcSource = "file://%s" % (inStudyAreaPath, )
asset.dcTitle = 'Study area shapefile'
asset.dcPublisher = publisher
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
demSpatialMetadata = getSpatialReferenceForRaster(demFilepath)
GenericMetadata.writeStudyAreaEntry(context, "dem_res_x",
demSpatialMetadata[0])
GenericMetadata.writeStudyAreaEntry(context, "dem_res_y",
demSpatialMetadata[1])
GenericMetadata.writeStudyAreaEntry(context, "dem_srs", demSpatialMetadata[5])
# Get rows and columns for DEM
demFilepath = os.path.join(context.projectDir, demFilename)
(columns, rows) = getDimensionsForRaster(demFilepath)
GenericMetadata.writeStudyAreaEntry(context, "dem_columns", columns)
GenericMetadata.writeStudyAreaEntry(context, "dem_rows", rows)
# Write provenance
inputDEMURL = "file://%s" % (inDEMPath, )
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'dem'
asset.dcIdentifier = demFilename
asset.dcSource = inputDEMURL
asset.dcTitle = 'Digital Elevation Model'
asset.dcPublisher = publisher
asset.dcDescription = cmdline
asset.writeToMetadata(context)
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'study_area_shapefile'
asset.dcIdentifier = shpFilename
asset.dcSource = inputDEMURL
asset.dcTitle = 'Study area shapefile'
asset.dcPublisher = publisher
asset.dcDescription = cmdline
else:
# Download NLCD from WCS
sys.stdout.write("Downloading NLCD via WCS from %s..." % (HOST, ))
sys.stdout.flush()
(returnCode, nlcdURL) = getNLCDForBoundingBox(context.config,
context.projectDir,
tileFilename,
bbox=bbox,
resx=outputrasterresolutionX,
resy=outputrasterresolutionY,
coverage='NLCD2006',
srs=srs)
assert (returnCode)
sys.stdout.write('done\n')
# Write metadata
GenericMetadata.writeStudyAreaEntry(context, "landcover_type", "NLCD2006")
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'landcover'
asset.dcIdentifier = tileFilename
asset.dcSource = nlcdURL
asset.dcTitle = 'The National Landcover Database 2006'
asset.dcPublisher = 'USGS'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
'Geting catchment area draining through gage using NHDPlus webservice...'
)
sys.stdout.flush()
try:
(shapeFilename, source) = getCatchmentFeaturesForStreamflowGage(
context.config,
context.projectDir,
outfile,
reachcode,
measure,
format=OGR_SHAPEFILE_DRIVER_NAME)
writeMetadata = True
except Exception as e:
sys.exit(str(e))
sys.stdout.write('done\n')
if writeMetadata:
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'study_area_shapefile'
asset.dcIdentifier = shapeFilename
asset.dcSource = source
asset.dcTitle = 'Study area shapefile'
asset.dcPublisher = 'USGS'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
def run(self, *args, **kwargs):
""" Run the command: Acquire NLCD data from USGS WCS web service.
Arguments:
lctype -- string Source dataset from which NLCD tile should be extracted.
outfile -- string The name of the NLCD file to be written. File extension ".tif" will be added.
verbose -- boolean Produce verbose output. Default: False.
overwrite -- boolean Overwrite existing output. Default: False.
"""
lctype = kwargs.get('lctype', DEFAULT_LC_TYPE)
outfile = kwargs.get('outfile', None)
verbose = kwargs.get('verbose', False)
overwrite = kwargs.get('overwrite', False)
if lctype not in ecohydrolib.usgs.nlcdwcs.LC_TYPE_TO_COVERAGE:
msg = "Land cover type {lctype} is not in the list of supported types {types}"
raise CommandException(
msg.format(lctype=lctype,
types=ecohydrolib.usgs.nlcdwcs.LC_TYPE_TO_COVERAGE))
self.checkMetadata()
demFilename = self.manifest['dem']
demFilepath = os.path.join(self.context.projectDir, demFilename)
demFilepath = os.path.abspath(demFilepath)
bbox = getRasterExtentAsBbox(demFilepath)
if not outfile:
outfile = 'NLCD'
try:
(resp, urlFetched, fname) = getNLCDRasterDataForBoundingBox(
self.context.config,
self.context.projectDir,
bbox,
coverage=LC_TYPE_TO_COVERAGE[lctype],
filename=outfile,
srs=self.studyArea['dem_srs'],
resx=self.studyArea['dem_res_x'],
resy=self.studyArea['dem_res_y'],
overwrite=overwrite,
verbose=verbose,
outfp=self.outfp)
except Exception as e:
traceback.print_exc(file=self.outfp)
raise RunException(e)
if not resp:
raise RunException(
"Failed to download NLCD data from URL {0}".format(urlFetched))
# Write metadata entries
cmdline = GenericMetadata.getCommandLine()
GenericMetadata.writeStudyAreaEntry(self.context, "landcover_type",
lctype)
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'landcover'
asset.dcIdentifier = fname
asset.dcSource = urlFetched
asset.dcTitle = "The National Landcover Database: {0}".format(lctype)
asset.dcPublisher = 'USGS'
asset.dcDescription = cmdline
asset.writeToMetadata(self.context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(self.context, cmdline)
context = Context(args.projectDir, configFile)
manifest = GenericMetadata.readManifestEntries(context)
if 'soil_features' in manifest:
if args.overwrite:
sys.stdout.write('Deleting existing SSURGO features shapefile\n')
sys.stdout.flush()
shpFilepath = os.path.join( context.projectDir, manifest['soil_features'] )
deleteShapefile(shpFilepath)
else:
sys.exit( textwrap.fill('SSURGO features already exist in project directory. Use --overwrite option to overwrite.') )
shpFilename = args.shpFilename ###'MapunitPolyExtended.shp'
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'soil_features'
asset.dcIdentifier = shpFilename
asset.dcSource = 'from hydroterre web service with GI'
asset.dcTitle = 'GI with SSURGO soils data'
asset.dcPublisher = 'USDA'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
context = Context(args.projectDir, configFile)
if args.publisher:
publisher = args.publisher
else:
publisher = 'SELF PUBLISHED'
if not context.config.has_option('GDAL/OGR', 'PATH_OF_OGR2OGR'):
sys.exit("Config file %s does not define option %s in section %s" & \
(args.configfile, 'GDAL/OGR', 'PATH_OF_OGR2OGR'))
if not os.access(args.studyAreaLayer, os.R_OK):
raise IOError(errno.EACCES, "Not allowed to read input study area %s" (args.demfile,))
inStudyAreaPath = os.path.abspath(args.studyAreaLayer)
shpFilename = convertFeatureLayerToShapefile(context.config, context.projectDir, inStudyAreaPath, "studyarea", overwrite=args.overwrite)
# Write metadata
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'study_area_shapefile'
asset.dcIdentifier = shpFilename
asset.dcSource = "file://%s" % (inStudyAreaPath,)
asset.dcTitle = 'Study area shapefile'
asset.dcPublisher = publisher
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
manifest = GenericMetadata.readManifestEntries(context)
shpFilename = manifest['soil_features']
layerName = os.path.splitext(shpFilename)[0]
# Get study area parameters
studyArea = GenericMetadata.readStudyAreaEntries(context)
outputrasterresolutionX = studyArea['dem_res_x']
outputrasterresolutionY = studyArea['dem_res_y']
# Truncate attributes to 10 characters because shapefiles rely on ancient technology
sys.stdout.write('Generating soil property maps by rasterizing SURGO features...')
sys.stdout.flush()
attrList = [elem[:10] for elem in ecohydrolib.ssurgo.attributequery.attributeListNumeric]
rasterFiles = rasterizeSSURGOFeatures(config=context.config, outputDir=context.projectDir, featureFilename=shpFilename, featureLayername=layerName, \
featureAttrList=attrList, \
rasterResolutionX=outputrasterresolutionX, rasterResolutionY=outputrasterresolutionY)
sys.stdout.write('done\n')
# Write metadata entries
for attr in rasterFiles.keys():
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = "soil_raster_%s" % (attr,)
asset.dcIdentifier = rasterFiles[attr]
asset.dcSource = ssurgoProvenance.dcSource
asset.dcTitle = attr
asset.dcPublisher = ssurgoProvenance.dcSource
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
# Resample DEM to target srs and resolution
resampleRaster(context.config, context.projectDir, tmpDEMFilepath, demFilename, \
s_srs=demtile.DEFAULT_CRS, t_srs=t_srs, \
trX=demResolutionX, trY=demResolutionY)
# Write metadata
GenericMetadata.writeStudyAreaEntry(context, "dem_res_x", demResolutionX)
GenericMetadata.writeStudyAreaEntry(context, "dem_res_y", demResolutionY)
GenericMetadata.writeStudyAreaEntry(context, "dem_srs", t_srs)
# Get rows and columns for DEM
(columns, rows) = getDimensionsForRaster(demFilepath)
GenericMetadata.writeStudyAreaEntry(context, "dem_columns", columns)
GenericMetadata.writeStudyAreaEntry(context, "dem_rows", rows)
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'dem'
asset.dcIdentifier = demFilename
asset.dcSource = 'http://eros.usgs.gov/#/Find_Data/Products_and_Data_Available/gtopo30/hydro/namerica'
asset.dcTitle = 'Digital Elevation Model from HYDRO1k'
asset.dcPublisher = 'USGS'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
# Clean-up
deleteGeoTiff(tmpDEMFilepath)
rasterize.deleteSoilRasters(context, manifest)
sys.stdout.write('done\n')
# Get study area parameters
studyArea = GenericMetadata.readStudyAreaEntries(context)
outputrasterresolutionX = studyArea['dem_res_x']
outputrasterresolutionY = studyArea['dem_res_y']
# Truncate attributes to 10 characters because shapefiles rely on ancient technology
sys.stdout.write(
'Generating soil property maps by rasterizing SURGO features...')
sys.stdout.flush()
attrList = [elem[:10] for elem in rasterize.RASTER_ATTRIBUTES]
rasterFiles = rasterize.rasterizeSSURGOFeatures(config=context.config, outputDir=context.projectDir, featureFilename=shpFilename, featureLayername=layerName, \
featureAttrList=attrList, \
rasterResolutionX=outputrasterresolutionX, rasterResolutionY=outputrasterresolutionY)
sys.stdout.write('done\n')
# Write metadata entries
for attr in list(rasterFiles.keys()):
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = "soil_raster_%s" % (attr, )
asset.dcIdentifier = rasterFiles[attr]
asset.dcSource = ssurgoProvenance.dcSource
asset.dcTitle = attr
asset.dcPublisher = ssurgoProvenance.dcSource
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
demFilename = manifest['dem']
demFilepath = os.path.join(context.projectDir, demFilename)
layerName = os.path.splitext(shpFilename)[0]
# Get study area parameters
studyArea = GenericMetadata.readStudyAreaEntries(context)
outputrasterresolutionX = studyArea['dem_res_x']
outputrasterresolutionY = studyArea['dem_res_y']
# Truncate attributes to 10 characters because shapefiles rely on ancient technology
sys.stdout.write('Generating soil property maps using SOLIM...')
sys.stdout.flush()
attrList = [elem[:10] for elem in attributequery.ATTRIBUTE_LIST_NUMERIC]
rasterFiles = inferSoilPropertiesForSSURGOAndTerrainData(config=context.config, outputDir=context.projectDir, \
shpFilepath=shpFilepath, demFilepath=demFilepath, \
featureAttrList=attrList)
sys.stdout.write('done\n')
# Write metadata entries
for attr in list(rasterFiles.keys()):
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = "soil_raster_%s" % (attr, )
asset.dcIdentifier = rasterFiles[attr]
asset.dcSource = 'http://solim.geography.wisc.edu'
asset.dcTitle = attr
asset.dcPublisher = 'Department of Geography, UW-Madison'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
s_srs=t_srs, t_srs=t_srs, \
trX=demResolutionX, trY=demResolutionY)
sys.stdout.write('done\n')
else:
shutil.move(tmpDEMFilepath, demFilepath)
# Write metadata
GenericMetadata.writeStudyAreaEntry(context, 'dem_res_x', demResolutionX)
GenericMetadata.writeStudyAreaEntry(context, 'dem_res_y', demResolutionY)
GenericMetadata.writeStudyAreaEntry(context, 'dem_srs', t_srs)
# Get rows and columns for DEM
(columns, rows) = getDimensionsForRaster(demFilepath)
GenericMetadata.writeStudyAreaEntry(context, 'dem_columns', columns)
GenericMetadata.writeStudyAreaEntry(context, 'dem_rows', rows)
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'dem'
asset.dcIdentifier = demFilename
asset.dcSource = demURL
asset.dcTitle = 'Digital Elevation Model'
asset.dcPublisher = 'GeoBrain'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
# Clean-up
deleteGeoTiff(tmpDEMFilepath)
def run(self, *args, **kwargs):
""" Run the command: Acquire USGS DEM data.
Arguments:
coverage -- string Source dataset from which DEM tile should be extracted.
outfile -- string The name of the DEM file to be written. File extension ".tif" will be added.
demResolution list<float>[2] Two floating point numbers representing the desired X and Y output resolution of soil property raster maps; unit: meters.
srs -- string Target spatial reference system of output, in EPSG:num format.
verbose -- boolean Produce verbose output. Default: False.
overwrite -- boolean Overwrite existing output. Default: False.
"""
coverage = kwargs.get('coverage', self.DEFAULT_COVERAGE)
outfile = kwargs.get('outfile', None)
demResolution = kwargs.get('demResolution', None)
srs = kwargs.get('srs', None)
verbose = kwargs.get('verbose', False)
overwrite = kwargs.get('overwrite', False)
self.checkMetadata()
bbox = bboxFromString(self.studyArea['bbox_wgs84'])
if not outfile:
outfile = 'DEM'
demFilename = "%s.tif" % (outfile)
demResolutionX = demResolutionY = None
if demResolution:
demResolutionX = demResolution[0]
demResolutionY = demResolution[1]
if srs:
if not isValidSrs(srs):
msg = "ERROR: '%s' is not a valid spatial reference. Spatial reference must be of the form 'EPSG:XXXX', e.g. 'EPSG:32617'. For more information, see: http://www.spatialreference.org/" % (srs,)
raise RunException(msg)
else:
# Default for UTM
(centerLon, centerLat) = calculateBoundingBoxCenter(bbox)
(utmZone, isNorth) = getUTMZoneFromCoordinates(centerLon, centerLat)
srs = getEPSGStringForUTMZone(utmZone, isNorth)
try:
(dataFetched, urlFetched) = ecohydrolib.usgs.demwcs.getDEMForBoundingBox(self.context.config,
self.context.projectDir,
demFilename,
bbox,
srs,
coverage=coverage,
resx=demResolutionX,
resy=demResolutionY,
scale=0.01,
overwrite=overwrite,
verbose=verbose,
outfp=self.outfp)
except Exception as e:
traceback.print_exc(file=self.outfp)
raise RunException(e)
if not dataFetched:
raise RunException("Failed to download DEM data from URL {0}".format(urlFetched))
# Write metadata entries
cmdline = GenericMetadata.getCommandLine()
# Write metadata
demFilepath = os.path.join(self.context.projectDir, demFilename)
demSrs = getSpatialReferenceForRaster(demFilepath)
GenericMetadata.writeStudyAreaEntry(self.context, 'dem_res_x', demSrs[0])
GenericMetadata.writeStudyAreaEntry(self.context, 'dem_res_y', demSrs[1])
GenericMetadata.writeStudyAreaEntry(self.context, 'dem_srs', srs)
# Get rows and columns for DEM
(columns, rows) = getDimensionsForRaster(demFilepath)
GenericMetadata.writeStudyAreaEntry(self.context, 'dem_columns', columns)
GenericMetadata.writeStudyAreaEntry(self.context, 'dem_rows', rows)
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'dem'
asset.dcIdentifier = demFilename
asset.dcSource = urlFetched
asset.dcTitle = "Digital Elevation Model ({0})".format(coverage)
asset.dcPublisher = 'U.S. Geological Survey'
asset.dcDescription = cmdline
asset.processingNotes = "Elevation values rescaled from centimeters to meters. "
asset.processingNotes += "Spatial grid resampled to {srs} with X resolution {xres} and Y resolution {yres}."
asset.processingNotes = asset.processingNotes.format(srs=srs,
xres=demSrs[0],
yres=demSrs[1])
asset.writeToMetadata(self.context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(self.context, cmdline)
outfile = args.outfile
else:
outfile = "catchment"
# Get provenance data for gage
gageProvenance = [i for i in GenericMetadata.readAssetProvenanceObjects(context) if i.name == 'gage'][0]
if gageProvenance is None:
sys.exit("Unable to load gage provenance information from metadata")
# Get study area parameters
studyArea = GenericMetadata.readStudyAreaEntries(context)
reachcode = studyArea['nhd_gage_reachcode']
measure = studyArea['nhd_gage_measure_pct']
shapeFilename = "%s.shp" % (outfile)
shapeFilepath = os.path.join(context.projectDir, shapeFilename)
if not os.path.exists(shapeFilepath):
getCatchmentShapefileForGage(context.config, context.projectDir, shapeFilename, reachcode, measure)
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'study_area_shapefile'
asset.dcIdentifier = shapeFilename
asset.dcSource = gageProvenance.dcSource # Take from gage
asset.dcTitle = 'Study area shapefile'
asset.dcPublisher = gageProvenance.dcPublisher
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
s_srs=t_srs, t_srs=t_srs, \
trX=demResolutionX, trY=demResolutionY)
sys.stdout.write('done\n')
else:
shutil.move(tmpDEMFilepath, demFilepath)
# Write metadata
GenericMetadata.writeStudyAreaEntry(context, 'dem_res_x', demResolutionX)
GenericMetadata.writeStudyAreaEntry(context, 'dem_res_y', demResolutionY)
GenericMetadata.writeStudyAreaEntry(context, 'dem_srs', t_srs)
# Get rows and columns for DEM
(columns, rows) = getDimensionsForRaster(demFilepath)
GenericMetadata.writeStudyAreaEntry(context, 'dem_columns', columns)
GenericMetadata.writeStudyAreaEntry(context, 'dem_rows', rows)
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'dem'
asset.dcIdentifier = demFilename
asset.dcSource = demURL
asset.dcTitle = demwcs.COVERAGE_DESC[args.demType]
asset.dcPublisher = 'Geoscience Australia'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
# Clean-up
deleteGeoTiff(tmpDEMFilepath)
format=OGR_SHAPEFILE_DRIVER_NAME)
source = 'http://www.horizon-systems.com/NHDPlus/NHDPlusV2_home.php'
writeMetadata = True
sys.stdout.write('done\n')
else:
sys.stdout.write('Geting catchment area draining through gage using NHDPlus webservice...')
sys.stdout.flush()
try:
(shapeFilename, source) = getCatchmentFeaturesForStreamflowGage(context.config, context.projectDir,
outfile, reachcode, measure,
format=OGR_SHAPEFILE_DRIVER_NAME)
writeMetadata = True
except Exception as e:
sys.exit( str(e) )
sys.stdout.write('done\n')
if writeMetadata:
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'study_area_shapefile'
asset.dcIdentifier = shapeFilename
asset.dcSource = source
asset.dcTitle = 'Study area shapefile'
asset.dcPublisher = 'USGS'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
gage_lat = response['gage_lat']
gage_lon = response['gage_lon']
sys.stdout.write('done\n')
# Write gage coordinates to a shapefile in the project directory
shpFilename = writeCoordinatePairsToPointShapefile(context.projectDir, "gage",
"gage_id", [args.gageid],
[(gage_lon, gage_lat)])
# Write study area metadata
GenericMetadata.writeStudyAreaEntry(context, 'gage_id_attr', 'gage_id')
GenericMetadata.writeStudyAreaEntry(context, 'gage_id', args.gageid)
GenericMetadata.writeStudyAreaEntry(context, 'nhd_gage_reachcode', reachcode)
GenericMetadata.writeStudyAreaEntry(context, 'nhd_gage_measure_pct', measure)
GenericMetadata.writeStudyAreaEntry(context, 'gage_lat_wgs84', gage_lat)
GenericMetadata.writeStudyAreaEntry(context, 'gage_lon_wgs84', gage_lon)
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'gage'
asset.dcIdentifier = shpFilename
asset.dcSource = source
asset.dcTitle = 'Streamflow gage'
asset.dcPublisher = 'USGS'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
sys.stdout.flush()
copyRasterToGeoTIFF(context.config, context.projectDir, inRasterPath, rasterFilename)
sys.stdout.write('done\n')
# Make sure extent of resampled raster is the same as the extent of the DEM
newRasterMetadata = getDimensionsForRaster(rasterFilepath)
if (not force) and ( (newRasterMetadata[0] != demColumns) or (newRasterMetadata[1] != demRows) ):
# Extents to not match, roll back and bail out
os.unlink(rasterFilepath)
sys.exit(textwrap.fill("ERROR: Extent of raster dataset %s does not match extent of DEM in project directory %s. Use --force to override.") %
(rasterFilename, context.projectDir))
# Write metadata
if GenericMetadata.RASTER_TYPE_LC == args.type:
GenericMetadata.writeStudyAreaEntry(context, "landcover_type", "custom")
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = args.type
asset.dcIdentifier = rasterFilename
asset.dcSource = "file://%s" % (inRasterPath,)
asset.dcTitle = args.type
asset.dcPublisher = publisher
asset.dcDescription = cmdline
asset.processingNotes = processingNotes
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
gage_lon = coords[0][0]
gage_lat = coords[0][1]
coordinates = (gage_lon, gage_lat)
# Ensure gage coordinates are within bounding box
if not isCoordinatePairInBoundingBox(bbox, coordinates):
sys.exit("Gage coordinates %s, %s do not appear to lie within bounding box %s, %s, %s, %s" %
( str(gage_lon), str(gage_lat), str(bbox['minX']), str(bbox['minY']), str(bbox['maxX']), str(bbox['maxY']) ) )
shpFilename = writeCoordinatePairsToPointShapefile(context.projectDir, outfile, "gage_id", gageIDs, [coordinates])
sys.stdout.write('done\n')
# Write metadata
GenericMetadata.writeStudyAreaEntry(context, 'gage_id_attr', 'gage_id')
GenericMetadata.writeStudyAreaEntry(context, 'gage_id', args.idValue)
GenericMetadata.writeStudyAreaEntry(context, 'gage_lat_wgs84', gage_lat)
GenericMetadata.writeStudyAreaEntry(context, 'gage_lon_wgs84', gage_lon)
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'gage'
asset.dcIdentifier = shpFilename
asset.dcSource = "file://%s" % (inGagePath,)
asset.dcTitle = 'Streamflow gage'
asset.dcPublisher = publisher
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
def run(self, *args, **kwargs):
""" Run the command: Acquire NLCD data from USGS WCS web service.
Arguments:
lctype -- string Source dataset from which NLCD tile should be extracted.
outfile -- string The name of the NLCD file to be written. File extension ".tif" will be added.
verbose -- boolean Produce verbose output. Default: False.
overwrite -- boolean Overwrite existing output. Default: False.
"""
lctype = kwargs.get('lctype', DEFAULT_LC_TYPE)
outfile = kwargs.get('outfile', None)
verbose = kwargs.get('verbose', False)
overwrite = kwargs.get('overwrite', False)
if lctype not in ecohydrolib.usgs.nlcdwcs.LC_TYPE_TO_COVERAGE:
msg = "Land cover type {lctype} is not in the list of supported types {types}"
raise CommandException(msg.format(lctype=lctype,
types=ecohydrolib.usgs.nlcdwcs.LC_TYPE_TO_COVERAGE))
self.checkMetadata()
demFilename = self.manifest['dem']
demFilepath = os.path.join(self.context.projectDir, demFilename)
demFilepath = os.path.abspath(demFilepath)
bbox = getRasterExtentAsBbox(demFilepath)
if not outfile:
outfile = 'NLCD'
try:
(resp, urlFetched, fname) = getNLCDRasterDataForBoundingBox(self.context.config,
self.context.projectDir,
bbox,
coverage=LC_TYPE_TO_COVERAGE[lctype],
filename=outfile,
srs=self.studyArea['dem_srs'],
resx=self.studyArea['dem_res_x'],
resy=self.studyArea['dem_res_y'],
overwrite=overwrite,
verbose=verbose,
outfp=self.outfp)
except Exception as e:
traceback.print_exc(file=self.outfp)
raise RunException(e)
if not resp:
raise RunException("Failed to download NLCD data from URL {0}".format(urlFetched))
# Write metadata entries
cmdline = GenericMetadata.getCommandLine()
GenericMetadata.writeStudyAreaEntry(self.context, "landcover_type", lctype)
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'landcover'
asset.dcIdentifier = fname
asset.dcSource = urlFetched
asset.dcTitle = "The National Landcover Database: {0}".format(lctype)
asset.dcPublisher = 'USGS'
asset.dcDescription = cmdline
asset.writeToMetadata(self.context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(self.context, cmdline)
os.unlink(rasterFilepath)
sys.exit(
textwrap.fill(
"ERROR: Raster type %s must be the same extent as DEM" %
(GenericMetadata.RASTER_TYPE_STREAM_BURNED_DEM, )))
if not force:
# Extents to not match, roll back and bail out
os.unlink(rasterFilepath)
sys.exit(
textwrap.fill(
"ERROR: Extent of raster dataset %s does not match extent of DEM in project directory %s. Use --force to override."
) % (rasterFilename, context.projectDir))
# Write metadata
if GenericMetadata.RASTER_TYPE_LC == args.type:
GenericMetadata.writeStudyAreaEntry(context, "landcover_type", "custom")
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = args.type
asset.dcIdentifier = rasterFilename
asset.dcSource = "file://%s" % (inRasterPath, )
asset.dcTitle = args.type
asset.dcPublisher = publisher
asset.dcDescription = cmdline
asset.processingNotes = processingNotes
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
# Resample DEM to target srs and resolution
resampleRaster(context.config, context.projectDir, tmpDEMFilepath, demFilename, \
s_srs=demtile.DEFAULT_CRS, t_srs=t_srs, \
trX=demResolutionX, trY=demResolutionY)
# Write metadata
GenericMetadata.writeStudyAreaEntry(context, "dem_res_x", demResolutionX)
GenericMetadata.writeStudyAreaEntry(context, "dem_res_y", demResolutionY)
GenericMetadata.writeStudyAreaEntry(context, "dem_srs", t_srs)
# Get rows and columns for DEM
(columns, rows) = getDimensionsForRaster(demFilepath)
GenericMetadata.writeStudyAreaEntry(context, "dem_columns", columns)
GenericMetadata.writeStudyAreaEntry(context, "dem_rows", rows)
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'dem'
asset.dcIdentifier = demFilename
asset.dcSource = 'http://eros.usgs.gov/#/Find_Data/Products_and_Data_Available/gtopo30/hydro/namerica'
asset.dcTitle = 'Digital Elevation Model from HYDRO1k'
asset.dcPublisher = 'USGS'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
# Clean-up
deleteGeoTiff(tmpDEMFilepath)
measure = response['measure']
gage_lat = response['gage_lat']
gage_lon = response['gage_lon']
sys.stdout.write('done\n')
# Write gage coordinates to a shapefile in the project directory
shpFilename = writeCoordinatePairsToPointShapefile(context.projectDir, "gage",
"gage_id", [args.gageid], [(gage_lon, gage_lat)])
# Write study area metadata
GenericMetadata.writeStudyAreaEntry(context, 'gage_id_attr', 'gage_id')
GenericMetadata.writeStudyAreaEntry(context, 'gage_id', args.gageid)
GenericMetadata.writeStudyAreaEntry(context, 'nhd_gage_reachcode', reachcode)
GenericMetadata.writeStudyAreaEntry(context, 'nhd_gage_measure_pct', measure)
GenericMetadata.writeStudyAreaEntry(context, 'gage_lat_wgs84', gage_lat)
GenericMetadata.writeStudyAreaEntry(context, 'gage_lon_wgs84', gage_lon)
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'gage'
asset.dcIdentifier = shpFilename
asset.dcSource = source
asset.dcTitle = 'Streamflow gage'
asset.dcPublisher = 'USGS'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
# Get spatial metadata for DEM demSpatialMetadata = getSpatialReferenceForRaster(demFilepath) GenericMetadata.writeStudyAreaEntry(context, "dem_res_x", demSpatialMetadata[0]) GenericMetadata.writeStudyAreaEntry(context, "dem_res_y", demSpatialMetadata[1]) GenericMetadata.writeStudyAreaEntry(context, "dem_srs", demSpatialMetadata[5]) # Get rows and columns for DEM demFilepath = os.path.join(context.projectDir, demFilename) (columns, rows) = getDimensionsForRaster(demFilepath) GenericMetadata.writeStudyAreaEntry(context, "dem_columns", columns) GenericMetadata.writeStudyAreaEntry(context, "dem_rows", rows) # Write provenance inputDEMURL = "file://%s" % (inDEMPath,) asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION) asset.name = 'dem' asset.dcIdentifier = demFilename asset.dcSource = inputDEMURL asset.dcTitle = 'Digital Elevation Model' asset.dcPublisher = publisher asset.dcDescription = cmdline asset.writeToMetadata(context) asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION) asset.name = 'study_area_shapefile' asset.dcIdentifier = shpFilename asset.dcSource = inputDEMURL asset.dcTitle = 'Study area shapefile' asset.dcPublisher = publisher asset.dcDescription = cmdline
def test_provenance_overwrite(self):
""" Test case writing provenance metadata, with overwrite """
asset = AssetProvenance()
asset.section = GenericMetadata.MANIFEST_SECTION
asset.name = "dem"
asset.dcIdentifier = "dem.tif"
asset.dcSource = "http://www.demexplorer.com/..."
asset.dcTitle = "Study area DEM"
asset.dcDate = datetime.strptime("201303", "%Y%m")
asset.dcPublisher = "USGS"
asset.dcDescription = "RegisterDEM.py ..."
asset.writeToMetadata(self.context)
assetProvenance = GenericMetadata.readAssetProvenanceObjects(self.context)[0]
self.assertTrue(asset.section == assetProvenance.section)
self.assertTrue(asset.name == assetProvenance.name)
self.assertTrue(asset.dcIdentifier == assetProvenance.dcIdentifier)
self.assertTrue(asset.dcSource == assetProvenance.dcSource)
self.assertTrue(asset.dcTitle == assetProvenance.dcTitle)
self.assertTrue(asset.dcDate == assetProvenance.dcDate)
self.assertTrue(asset.dcPublisher == assetProvenance.dcPublisher)
self.assertTrue(asset.dcDescription == assetProvenance.dcDescription)
asset.dcIdentifier = 'foo.img'
asset.dcSource = "http://a.different.url/..."
asset.dcTitle = "A different study area DEM"
asset.dcDate = datetime.strptime("201304", "%Y%m")
asset.dcPublisher = "NASA"
asset.dcDescription = "GetDEMExplorerDEM.py ..."
asset.writeToMetadata(self.context)
assetProvenance = GenericMetadata.readAssetProvenanceObjects(self.context)[0]
self.assertTrue(asset.section == assetProvenance.section)
self.assertTrue(asset.name == assetProvenance.name)
self.assertTrue(asset.dcIdentifier == assetProvenance.dcIdentifier)
self.assertTrue(asset.dcSource == assetProvenance.dcSource)
self.assertTrue(asset.dcTitle == assetProvenance.dcTitle)
self.assertTrue(asset.dcDate == assetProvenance.dcDate)
self.assertTrue(asset.dcPublisher == assetProvenance.dcPublisher)
self.assertTrue(asset.dcDescription == assetProvenance.dcDescription)
sys.exit( textwrap.fill('SSURGO features already exist in project directory. Use --overwrite option to overwrite.') )
# Get study area parameters
studyArea = GenericMetadata.readStudyAreaEntries(context)
bbox = bboxFromString(studyArea['bbox_wgs84'])
outputrasterresolutionX = studyArea['dem_res_x']
outputrasterresolutionY = studyArea['dem_res_y']
srs = studyArea['dem_srs']
sys.stdout.write('Downloading SSURGO features for study area from USDA Soil Data mart...\n')
sys.stdout.flush()
shpFilename = getMapunitFeaturesForBoundingBox(context.config, context.projectDir, bbox,
tileBbox=args.tile, t_srs=srs, tileDivisor=args.tiledivisor,
keepOriginals=args.keeporiginals,
overwrite=args.overwrite,
nprocesses=args.nprocesses)
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'soil_features'
asset.dcIdentifier = shpFilename
asset.dcSource = featurequery.WFS_URL
asset.dcTitle = 'SSURGO soils data'
asset.dcPublisher = 'USDA'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
(args.configfile, 'GDAL/OGR', 'PATH_OF_OGR2OGR'))
if not context.config.has_option('HYDRO1k', 'PATH_OF_HYDRO1K_BAS'):
sys.exit("Config file %s does not define option %s in section %s" % \
(args.configfile, 'HYDRO1k', 'PATH_OF_HYDRO1K_BAS'))
if not context.config.has_option('HYDRO1k', 'HYDRO1k_BAS_LAYER_NAME'):
sys.exit("Config file %s does not define option %s in section %s" % \
(args.configfile, 'HYDRO1k', 'HYDRO1k_BAS_LAYER_NAME'))
if args.outfile:
outfile = args.outfile
else:
outfile = "catchment"
shapeFilename = "%s.shp" % (outfile)
shapeFilepath = os.path.join(context.projectDir, shapeFilename)
if not os.path.exists(shapeFilepath):
getCatchmentShapefileForHYDRO1kBasins(context.config, context.projectDir, shapeFilename, args.basins)
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'study_area_shapefile'
asset.dcIdentifier = shapeFilename
asset.dcSource = 'http://eros.usgs.gov/#/Find_Data/Products_and_Data_Available/gtopo30/hydro/namerica'
asset.dcTitle = 'Study area shapefile derived from HYDRO1k Basins'
asset.dcPublisher = 'USGS'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
demFilename = manifest['dem']
demFilepath = os.path.join(context.projectDir, demFilename)
layerName = os.path.splitext(shpFilename)[0]
# Get study area parameters
studyArea = GenericMetadata.readStudyAreaEntries(context)
outputrasterresolutionX = studyArea['dem_res_x']
outputrasterresolutionY = studyArea['dem_res_y']
# Truncate attributes to 10 characters because shapefiles rely on ancient technology
sys.stdout.write('Generating soil property maps using SOLIM...')
sys.stdout.flush()
attrList = [elem[:10] for elem in ecohydrolib.ssurgo.attributequery.attributeListNumeric]
rasterFiles = inferSoilPropertiesForSSURGOAndTerrainData(config=context.config, outputDir=context.projectDir, \
shpFilepath=shpFilepath, demFilepath=demFilepath, \
featureAttrList=attrList)
sys.stdout.write('done\n')
# Write metadata entries
for attr in rasterFiles.keys():
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = "soil_raster_%s" % (attr,)
asset.dcIdentifier = rasterFiles[attr]
asset.dcSource = 'http://solim.geography.wisc.edu'
asset.dcTitle = attr
asset.dcPublisher = 'Department of Geography, UW-Madison'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
if not context.config.has_option('HYDRO1k', 'PATH_OF_HYDRO1K_BAS'):
sys.exit("Config file %s does not define option %s in section %s" % \
(args.configfile, 'HYDRO1k', 'PATH_OF_HYDRO1K_BAS'))
if not context.config.has_option('HYDRO1k', 'HYDRO1k_BAS_LAYER_NAME'):
sys.exit("Config file %s does not define option %s in section %s" % \
(args.configfile, 'HYDRO1k', 'HYDRO1k_BAS_LAYER_NAME'))
if args.outfile:
outfile = args.outfile
else:
outfile = "catchment"
shapeFilename = "%s.shp" % (outfile)
shapeFilepath = os.path.join(context.projectDir, shapeFilename)
if not os.path.exists(shapeFilepath):
getCatchmentShapefileForHYDRO1kBasins(context.config, context.projectDir,
shapeFilename, args.basins)
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'study_area_shapefile'
asset.dcIdentifier = shapeFilename
asset.dcSource = 'http://eros.usgs.gov/#/Find_Data/Products_and_Data_Available/gtopo30/hydro/namerica'
asset.dcTitle = 'Study area shapefile derived from HYDRO1k Basins'
asset.dcPublisher = 'USGS'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
sys.stdout.write('Extracting tile from local NLCD data...')
sys.stdout.flush()
extractTileFromRasterByRasterExtent(context.config, context.projectDir, demFilepath, nlcdRaster, tileFilename)
sys.stdout.write('done\n')
else:
# Download NLCD from WCS
sys.stdout.write("Downloading NLCD via WCS from %s..." % (HOST,) )
sys.stdout.flush()
(returnCode, nlcdURL) = getNLCDForBoundingBox(context.config, context.projectDir, tileFilename, bbox=bbox,
resx=outputrasterresolutionX, resy=outputrasterresolutionY,
coverage='NLCD2006', srs=srs)
assert(returnCode)
sys.stdout.write('done\n')
# Write metadata
GenericMetadata.writeStudyAreaEntry(context, "landcover_type", "NLCD2006")
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'landcover'
asset.dcIdentifier = tileFilename
asset.dcSource = nlcdURL
asset.dcTitle = 'The National Landcover Database 2006'
asset.dcPublisher = 'USGS'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
if result:
gage_lat = result[1]
gage_lon = result[0]
else:
gage_lat = gage_lon = "Gage not found"
# Write gage coordinates to a shapefile in the project directory
shpFilename = writeCoordinatePairsToPointShapefile(context.projectDir, "gage",
"gage_id", [args.gageid], [(gage_lon, gage_lat)])
# Write study area metadata
GenericMetadata.writeStudyAreaEntry(context, 'gage_id_attr', 'gage_id')
GenericMetadata.writeStudyAreaEntry(context, 'gage_id', args.gageid)
GenericMetadata.writeStudyAreaEntry(context, 'nhd_gage_reachcode', reachcode)
GenericMetadata.writeStudyAreaEntry(context, 'nhd_gage_measure_pct', measure)
GenericMetadata.writeStudyAreaEntry(context, 'gage_lat_wgs84', gage_lat)
GenericMetadata.writeStudyAreaEntry(context, 'gage_lon_wgs84', gage_lon)
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'gage'
asset.dcIdentifier = shpFilename
asset.dcSource = 'http://www.horizon-systems.com/NHDPlus/NHDPlusV2_home.php'
asset.dcTitle = 'Streamflow gage'
asset.dcPublisher = 'USGS'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
sys.stdout.flush()
shpFilepath = os.path.join( context.projectDir, manifest['soil_features'] )
deleteShapefile(shpFilepath)
else:
sys.exit( textwrap.fill('SSURGO features already exist in project directory. Use --overwrite option to overwrite.') )
# Get study area parameters
studyArea = GenericMetadata.readStudyAreaEntries(context)
bbox = bboxFromString(studyArea['bbox_wgs84'])
outputrasterresolutionX = studyArea['dem_res_x']
outputrasterresolutionY = studyArea['dem_res_y']
srs = studyArea['dem_srs']
sys.stdout.write('Downloading SSURGO features for study area from USDA Soil Data mart...\n')
sys.stdout.flush()
shpFilename = getMapunitFeaturesForBoundingBox(context.config, context.projectDir, bbox, t_srs=srs)[0]
# Write provenance
asset = AssetProvenance(GenericMetadata.MANIFEST_SECTION)
asset.name = 'soil_features'
asset.dcIdentifier = shpFilename
asset.dcSource = featurequery.WFS_URL
asset.dcTitle = 'SSURGO soils data'
asset.dcPublisher = 'USDA'
asset.dcDescription = cmdline
asset.writeToMetadata(context)
# Write processing history
GenericMetadata.appendProcessingHistoryItem(context, cmdline)
