mirror of
https://github.com/qgis/QGIS.git
synced 2025-10-31 00:06:02 -04:00
217 lines
8.1 KiB
Python
217 lines
8.1 KiB
Python
# -*- coding: utf-8 -*-
|
|
|
|
"""
|
|
***************************************************************************
|
|
HypsometricCurves.py
|
|
---------------------
|
|
Date : November 2014
|
|
Copyright : (C) 2014 by Alexander Bruy
|
|
Email : alexander dot bruy at gmail dot com
|
|
***************************************************************************
|
|
* *
|
|
* This program is free software; you can redistribute it and/or modify *
|
|
* it under the terms of the GNU General Public License as published by *
|
|
* the Free Software Foundation; either version 2 of the License, or *
|
|
* (at your option) any later version. *
|
|
* *
|
|
***************************************************************************
|
|
"""
|
|
|
|
__author__ = 'Alexander Bruy'
|
|
__date__ = 'November 2014'
|
|
__copyright__ = '(C) 2014, Alexander Bruy'
|
|
|
|
# This will get replaced with a git SHA1 when you do a git archive
|
|
|
|
__revision__ = '$Format:%H$'
|
|
|
|
|
|
import os
|
|
|
|
import numpy
|
|
from osgeo import gdal, ogr, osr
|
|
|
|
from qgis.core import QgsRectangle, QgsGeometry
|
|
|
|
from processing.core.GeoAlgorithm import GeoAlgorithm
|
|
from processing.core.parameters import ParameterRaster
|
|
from processing.core.parameters import ParameterVector
|
|
from processing.core.parameters import ParameterNumber
|
|
from processing.core.parameters import ParameterBoolean
|
|
from processing.core.outputs import OutputDirectory
|
|
|
|
from processing.tools import raster
|
|
from processing.tools import dataobjects
|
|
from processing.tools import vector
|
|
|
|
|
|
class HypsometricCurves(GeoAlgorithm):
|
|
|
|
INPUT_DEM = 'INPUT_DEM'
|
|
BOUNDARY_LAYER = 'BOUNDARY_LAYER'
|
|
STEP = 'STEP'
|
|
USE_PERCENTAGE = 'USE_PERCENTAGE'
|
|
OUTPUT_DIRECTORY = 'OUTPUT_DIRECTORY'
|
|
|
|
def defineCharacteristics(self):
|
|
self.name, self.i18n_name = self.trAlgorithm('Hypsometric curves')
|
|
self.group, self.i18n_group = self.trAlgorithm('Raster tools')
|
|
|
|
self.addParameter(ParameterRaster(self.INPUT_DEM,
|
|
self.tr('DEM to analyze')))
|
|
self.addParameter(ParameterVector(self.BOUNDARY_LAYER,
|
|
self.tr('Boundary layer'), ParameterVector.VECTOR_TYPE_POLYGON))
|
|
self.addParameter(ParameterNumber(self.STEP,
|
|
self.tr('Step'), 0.0, 999999999.999999, 100.0))
|
|
self.addParameter(ParameterBoolean(self.USE_PERCENTAGE,
|
|
self.tr('Use % of area instead of absolute value'), False))
|
|
|
|
self.addOutput(OutputDirectory(self.OUTPUT_DIRECTORY,
|
|
self.tr('Hypsometric curves')))
|
|
|
|
def processAlgorithm(self, progress):
|
|
rasterPath = self.getParameterValue(self.INPUT_DEM)
|
|
layer = dataobjects.getObjectFromUri(
|
|
self.getParameterValue(self.BOUNDARY_LAYER))
|
|
step = self.getParameterValue(self.STEP)
|
|
percentage = self.getParameterValue(self.USE_PERCENTAGE)
|
|
|
|
outputPath = self.getOutputValue(self.OUTPUT_DIRECTORY)
|
|
|
|
rasterDS = gdal.Open(rasterPath, gdal.GA_ReadOnly)
|
|
geoTransform = rasterDS.GetGeoTransform()
|
|
rasterBand = rasterDS.GetRasterBand(1)
|
|
noData = rasterBand.GetNoDataValue()
|
|
|
|
cellXSize = abs(geoTransform[1])
|
|
cellYSize = abs(geoTransform[5])
|
|
rasterXSize = rasterDS.RasterXSize
|
|
rasterYSize = rasterDS.RasterYSize
|
|
|
|
rasterBBox = QgsRectangle(geoTransform[0], geoTransform[3] - cellYSize
|
|
* rasterYSize, geoTransform[0] + cellXSize
|
|
* rasterXSize, geoTransform[3])
|
|
rasterGeom = QgsGeometry.fromRect(rasterBBox)
|
|
|
|
crs = osr.SpatialReference()
|
|
crs.ImportFromProj4(str(layer.crs().toProj4()))
|
|
|
|
memVectorDriver = ogr.GetDriverByName('Memory')
|
|
memRasterDriver = gdal.GetDriverByName('MEM')
|
|
|
|
features = vector.features(layer)
|
|
count = len(features)
|
|
total = 100.0 / float(count)
|
|
|
|
for count, f in enumerate(features):
|
|
geom = f.geometry()
|
|
intersectedGeom = rasterGeom.intersection(geom)
|
|
|
|
if intersectedGeom.isGeosEmpty():
|
|
progress.setInfo(
|
|
self.tr('Feature %d does not intersect raster or '
|
|
'entirely located in NODATA area' % f.id()))
|
|
continue
|
|
|
|
fName = os.path.join(
|
|
outputPath, 'hystogram_%s_%s.csv' % (layer.name(), f.id()))
|
|
|
|
ogrGeom = ogr.CreateGeometryFromWkt(intersectedGeom.exportToWkt())
|
|
bbox = intersectedGeom.boundingBox()
|
|
xMin = bbox.xMinimum()
|
|
xMax = bbox.xMaximum()
|
|
yMin = bbox.yMinimum()
|
|
yMax = bbox.yMaximum()
|
|
|
|
(startColumn, startRow) = raster.mapToPixel(xMin, yMax, geoTransform)
|
|
(endColumn, endRow) = raster.mapToPixel(xMax, yMin, geoTransform)
|
|
|
|
width = endColumn - startColumn
|
|
height = endRow - startRow
|
|
|
|
srcOffset = (startColumn, startRow, width, height)
|
|
srcArray = rasterBand.ReadAsArray(*srcOffset)
|
|
|
|
if srcOffset[2] == 0 or srcOffset[3] == 0:
|
|
progress.setInfo(
|
|
self.tr('Feature %d is smaller than raster '
|
|
'cell size' % f.id()))
|
|
continue
|
|
|
|
newGeoTransform = (
|
|
geoTransform[0] + srcOffset[0] * geoTransform[1],
|
|
geoTransform[1],
|
|
0.0,
|
|
geoTransform[3] + srcOffset[1] * geoTransform[5],
|
|
0.0,
|
|
geoTransform[5]
|
|
)
|
|
|
|
memVDS = memVectorDriver.CreateDataSource('out')
|
|
memLayer = memVDS.CreateLayer('poly', crs, ogr.wkbPolygon)
|
|
|
|
ft = ogr.Feature(memLayer.GetLayerDefn())
|
|
ft.SetGeometry(ogrGeom)
|
|
memLayer.CreateFeature(ft)
|
|
ft.Destroy()
|
|
|
|
rasterizedDS = memRasterDriver.Create('', srcOffset[2],
|
|
srcOffset[3], 1, gdal.GDT_Byte)
|
|
rasterizedDS.SetGeoTransform(newGeoTransform)
|
|
gdal.RasterizeLayer(rasterizedDS, [1], memLayer, burn_values=[1])
|
|
rasterizedArray = rasterizedDS.ReadAsArray()
|
|
|
|
srcArray = numpy.nan_to_num(srcArray)
|
|
masked = numpy.ma.MaskedArray(srcArray,
|
|
mask=numpy.logical_or(srcArray == noData,
|
|
numpy.logical_not(rasterizedArray)))
|
|
|
|
self.calculateHypsometry(f.id(), fName, progress, masked,
|
|
cellXSize, cellYSize, percentage, step)
|
|
|
|
memVDS = None
|
|
rasterizedDS = None
|
|
progress.setPercentage(int(count * total))
|
|
|
|
rasterDS = None
|
|
|
|
def calculateHypsometry(self, fid, fName, progress, data, pX, pY,
|
|
percentage, step):
|
|
out = dict()
|
|
d = data.compressed()
|
|
if d.size == 0:
|
|
progress.setInfo(
|
|
self.tr('Feature %d does not intersect raster or '
|
|
'entirely located in NODATA area' % fid))
|
|
return
|
|
|
|
minValue = d.min()
|
|
maxValue = d.max()
|
|
startValue = minValue
|
|
tmpValue = minValue + step
|
|
while startValue < maxValue:
|
|
out[tmpValue] = ((startValue <= d) & (d < tmpValue)).sum()
|
|
startValue = tmpValue
|
|
tmpValue += step
|
|
|
|
if percentage:
|
|
multiplier = 100.0 / float(len(d.flat))
|
|
else:
|
|
multiplier = pX * pY
|
|
|
|
for k, v in out.iteritems():
|
|
out[k] = v * multiplier
|
|
|
|
prev = None
|
|
for i in sorted(out.items()):
|
|
if prev is None:
|
|
out[i[0]] = i[1]
|
|
else:
|
|
out[i[0]] = i[1] + out[prev]
|
|
prev = i[0]
|
|
|
|
writer = vector.TableWriter(fName, 'utf-8', [self.tr('Area'), self.tr('Elevation')])
|
|
for i in sorted(out.items()):
|
|
writer.addRecord([i[1], i[0]])
|
|
del writer
|