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Generates tiles using a given grid for a set of rasters generated per-catchment





In [21]:



    


%matplotlib inline

from pykml import parser
import shapely.geometry, shapely.wkt
from shapely.geometry.polygon import LinearRing
from shapely.geometry.polygon import Polygon
import shapely as sl
import fiona
import numpy as np

import matplotlib.pyplot as plt
import pylab

from utils.shapely_plot import draw

pylab.rcParams['figure.figsize'] = (17.0, 15.0)



    











In [22]:



    


# read grid cells

doc = file("../data/grid.kml").read()

root = parser.fromstring(doc)

placemarks = [c for c in root.Document.Placemark]

def get_feature(placemark):
    data = placemark.ExtendedData.Data
    id = int([d.value for d in placemark.ExtendedData.Data if d.get('name') == 'id'][0])

    scoords = str([d for d in placemark.Polygon.outerBoundaryIs.LinearRing.coordinates][0])[:-1]
    coords = [(float(c[0]), float(c[1])) for c in [p.split(',') for p in scoords.split(' ')]]
    geom = Polygon(LinearRing(coords))
    
    return (id, geom)



    











In [23]:



    


cells = [get_feature(placemark) for placemark in placemarks]



    











In [24]:



    


cell50 = cells[50]

# de
print(cell50[0])
cell50[1]



    


















    






1964










    
Out[24]:







            
            
            
            
            
















In [25]:



    


g = cell50[1]



    











In [16]:



    


# read catchments

catchments_path = r'../data/HydroBASINS/without_lakes/hybas_au_lev06_v1c.shp'

fig = plt.figure()
axes = plt.axes()
axes.set_aspect('equal', 'datalim')

bounds = (138.8119327121311, -37.679166666666646, 152.4875, -24.591666666666637)
axes.set_xlim(bounds[0], bounds[2])
axes.set_ylim(bounds[1], bounds[3])

with fiona.collection(catchments_path, "r") as input:
    for f in input:
        geom = sl.geometry.shape(f['geometry'])
        pfaf_id = int(f['properties']['PFAF_ID'])
        
        if pfaf_id >= 564000 and pfaf_id <= 564999:
            draw(geom, fill='#aaaaff', alpha=0.5)
            
draw(cell50[1], outline='#ffaaaa', lw=2.0)            

plt.show()



    


















    
























In [26]:



    


catchments = []
with fiona.collection(catchments_path, "r") as input:
    for f in input:
        geom = sl.geometry.shape(f['geometry'])
        pfaf_id = int(f['properties']['PFAF_ID'])
        id = int(f['properties']['HYBAS_ID'])
        
        if pfaf_id >= 564000 and pfaf_id <= 564999:
            catchments.append((id, geom))

print(catchments[0][0])
catchments[0][1]



    


















    






5060073410










    
Out[26]:
  • convert all catchments to shp files id_catchment.shp

  • convert all grid cells to shp files id_cell.shp

  • foreach grid cell:

    • find overlapping catchments
    • foreach overlapping raster
      • clip raster by its catchment:
    • merge all overlapping and clipped rasters




In [27]:



    


from shapely.geometry import mapping
import fiona
import subprocess
import os

def remove_file(path):
    if os.path.exists(path):
        os.remove(path)

def clip_catchment_by_cell(cell_geom, catchment_geom):
    return cell_geom.intersection(catchment_geom)

def write_shp(geom, shp_path, id):
    schema = { 'geometry': 'Polygon', 'properties': {'id': 'int'}, }

    with fiona.open(shp_path, 'w', 'ESRI Shapefile', schema) as c:
        c.write({'geometry': mapping(geom), 'properties': {'id': id}})

def clip_raster(in_path, out_path, shp_path):
    cmd = u'gdalwarp -dstnodata -99999 -q -cutline {0} -crop_to_cutline -of GTiff {1} {2}'.format(shp_path, in_path, out_path)
    subprocess.check_call(cmd, shell=True)
    pass

def merge_rasters(in_paths, out_path):
    # merge_cmd = r'python C:\OSGeo4W32\bin\gdal_merge.py'
    merge_cmd = r'gdal_merge.py'
    cmd = merge_cmd + u'  -co COMPRESS=DEFLATE -co PREDICTOR=2 -co ZLEVEL=6 -n -99999 -a_nodata -99999 -of GTiff -o {0} {1}'.format(out_path, in_paths)
    subprocess.check_call(cmd, shell=True)
    pass

def generate_tile_raster(cell, catchments, catchment_raster_format, cell_raster_format, temp_dir):
    # print('Merging sub-catchments raster for cell {0}: '.format(cell[0]))
          
    cell_id = cell[0]
    cell_geom = cell[1]
    
    out_catchment_rasters = []
    for (idx, catchment) in enumerate(cell_catchments):
        catchment_id = catchment[0]
        catchment_geom = catchment[1]

        # write (catchment x cell) to Shapefile
        g = clip_catchment_by_cell(cell_geom, catchment_geom)
        
        if g.area < 1e-5:
            continue
        
        clip_shp = temp_dir + str(idx) + '.shp'
        write_shp(g, clip_shp, idx)
        
        # clip catchment raster by the polygon from previous step
        in_catchment_raster = catchment_raster_format.format(catchment_id)
        out_catchment_raster = temp_dir + str(idx) + '.tif'
        
        # print('Clipping ' + in_catchment_raster + ' ...')
        clip_raster(in_catchment_raster, out_catchment_raster, clip_shp)

        out_catchment_rasters.append(out_catchment_raster)

        # clean-up
        remove_file(temp_dir + str(idx) + '.cpg')
        remove_file(temp_dir + str(idx) + '.dbf')
        remove_file(temp_dir + str(idx) + '.shp')
        remove_file(temp_dir + str(idx) + '.shx')

    if len(out_catchment_rasters) == 0:
        return
        
    # merge sub-catchment rasters clipped by intersection of (cell x catchment)
    tile_path = cell_raster_format.format('{0:05}'.format(cell_id))
    # print('Genereting tile raster ' + tile_path + ' ...')
    merge_rasters(' '.join(out_catchment_rasters), tile_path)
    
    # clean-up
    for path in out_catchment_rasters:
        remove_file(path)



    











In [28]:



    


def get_overlapping_catchments(g):
    for catchment in catchments:
        id = catchment[0]
        geom = catchment[1]
        if geom.intersects(g):
            yield (id, geom)
    

# find overlapping catchments for every cell and clip+merge corresponding rasters
idx = 0
for cell in cells[idx:]:
    cell_id = cell[0]
    cell_geom = cell[1]
    cell_catchments = list(get_overlapping_catchments(cell_geom))
    
    print('cell: {0}, id: {1}, catchment_count: {2}'.format(idx, cell_id, len(cell_catchments)))
        
    generate_tile_raster(cell, cell_catchments, 
        '../output_lddout/SRTM_30_Murray_Darling_{0}_dist.tif', 
        '../output_lddout_tiled/SRTM_30_Murray_Darling_cell_{0}_dist.tif', 
        r'../temp/')
    
    idx = idx + 1



    


















    






cell: 0, id: 2240, catchment_count: 1
cell: 1, id: 2239, catchment_count: 1
cell: 2, id: 2173, catchment_count: 1
cell: 3, id: 2238, catchment_count: 1
cell: 4, id: 2172, catchment_count: 1
cell: 5, id: 2237, catchment_count: 1
cell: 6, id: 2236, catchment_count: 1
cell: 7, id: 2170, catchment_count: 2
cell: 8, id: 2171, catchment_count: 1
cell: 9, id: 2105, catchment_count: 1
cell: 10, id: 2103, catchment_count: 1
cell: 11, id: 2104, catchment_count: 2
cell: 12, id: 2169, catchment_count: 2
cell: 13, id: 2235, catchment_count: 2
cell: 14, id: 2234, catchment_count: 1
cell: 15, id: 2233, catchment_count: 2
cell: 16, id: 2167, catchment_count: 1
cell: 17, id: 2168, catchment_count: 1
cell: 18, id: 2102, catchment_count: 1
cell: 19, id: 2101, catchment_count: 1
cell: 20, id: 2035, catchment_count: 1
cell: 21, id: 2036, catchment_count: 1
cell: 22, id: 2037, catchment_count: 1
cell: 23, id: 1966, catchment_count: 1
cell: 24, id: 1967, catchment_count: 1
cell: 25, id: 1968, catchment_count: 1
cell: 26, id: 2034, catchment_count: 1
cell: 27, id: 2100, catchment_count: 1
cell: 28, id: 2166, catchment_count: 1
cell: 29, id: 2232, catchment_count: 2
cell: 30, id: 2231, catchment_count: 1
cell: 31, id: 2165, catchment_count: 1
cell: 32, id: 2230, catchment_count: 2
cell: 33, id: 2229, catchment_count: 2
cell: 34, id: 2164, catchment_count: 1
cell: 35, id: 2033, catchment_count: 1
cell: 36, id: 2099, catchment_count: 1
cell: 37, id: 2032, catchment_count: 1
cell: 38, id: 2098, catchment_count: 1
cell: 39, id: 2096, catchment_count: 1
cell: 40, id: 2097, catchment_count: 1
cell: 41, id: 2163, catchment_count: 1
cell: 42, id: 2228, catchment_count: 1
cell: 43, id: 2162, catchment_count: 1
cell: 44, id: 2227, catchment_count: 1
cell: 45, id: 2226, catchment_count: 1
cell: 46, id: 2160, catchment_count: 1
cell: 47, id: 2161, catchment_count: 1
cell: 48, id: 2095, catchment_count: 1
cell: 49, id: 1963, catchment_count: 2
cell: 50, id: 1964, catchment_count: 2
cell: 51, id: 2029, catchment_count: 1
cell: 52, id: 2030, catchment_count: 1
cell: 53, id: 2031, catchment_count: 1
cell: 54, id: 1965, catchment_count: 1
cell: 55, id: 1899, catchment_count: 2
cell: 56, id: 1898, catchment_count: 2
cell: 57, id: 1832, catchment_count: 1
cell: 58, id: 1831, catchment_count: 1
cell: 59, id: 1830, catchment_count: 1
cell: 60, id: 1829, catchment_count: 1
cell: 61, id: 1895, catchment_count: 1
cell: 62, id: 1894, catchment_count: 1
cell: 63, id: 1960, catchment_count: 1
cell: 64, id: 1961, catchment_count: 2
cell: 65, id: 1896, catchment_count: 1
cell: 66, id: 1897, catchment_count: 2
cell: 67, id: 1962, catchment_count: 2
cell: 68, id: 2028, catchment_count: 1
cell: 69, id: 2027, catchment_count: 2
cell: 70, id: 2093, catchment_count: 1
cell: 71, id: 2094, catchment_count: 1
cell: 72, id: 2225, catchment_count: 1
cell: 73, id: 2224, catchment_count: 1
cell: 74, id: 2159, catchment_count: 1
cell: 75, id: 2223, catchment_count: 1
cell: 76, id: 2157, catchment_count: 1
cell: 77, id: 2158, catchment_count: 1
cell: 78, id: 2026, catchment_count: 2
cell: 79, id: 2092, catchment_count: 1
cell: 80, id: 2091, catchment_count: 1
cell: 81, id: 2090, catchment_count: 1
cell: 82, id: 2156, catchment_count: 1
cell: 83, id: 2222, catchment_count: 1
cell: 84, id: 2221, catchment_count: 1
cell: 85, id: 2155, catchment_count: 1
cell: 86, id: 2220, catchment_count: 2
cell: 87, id: 2154, catchment_count: 1
cell: 88, id: 2089, catchment_count: 1
cell: 89, id: 2088, catchment_count: 1
cell: 90, id: 2022, catchment_count: 1
cell: 91, id: 1957, catchment_count: 1
cell: 92, id: 2023, catchment_count: 1
cell: 93, id: 2024, catchment_count: 1
cell: 94, id: 2025, catchment_count: 2
cell: 95, id: 1959, catchment_count: 2
cell: 96, id: 1958, catchment_count: 2
cell: 97, id: 1893, catchment_count: 1
cell: 98, id: 1828, catchment_count: 1
cell: 99, id: 1827, catchment_count: 1
cell: 100, id: 1826, catchment_count: 2
cell: 101, id: 1892, catchment_count: 2
cell: 102, id: 1891, catchment_count: 1
cell: 103, id: 1825, catchment_count: 1
cell: 104, id: 1760, catchment_count: 2
cell: 105, id: 1761, catchment_count: 1
cell: 106, id: 1762, catchment_count: 1
cell: 107, id: 1763, catchment_count: 1
cell: 108, id: 1764, catchment_count: 1
cell: 109, id: 1765, catchment_count: 1
cell: 110, id: 357, catchment_count: 1
cell: 111, id: 356, catchment_count: 1
cell: 112, id: 290, catchment_count: 1
cell: 113, id: 291, catchment_count: 1
cell: 114, id: 225, catchment_count: 1
cell: 115, id: 144, catchment_count: 1
cell: 116, id: 79, catchment_count: 1
cell: 117, id: 80, catchment_count: 1
cell: 118, id: 145, catchment_count: 1
cell: 119, id: 146, catchment_count: 1
cell: 120, id: 277, catchment_count: 1
cell: 121, id: 211, catchment_count: 1
cell: 122, id: 210, catchment_count: 1
cell: 123, id: 276, catchment_count: 1
cell: 124, id: 342, catchment_count: 1
cell: 125, id: 343, catchment_count: 1
cell: 126, id: 344, catchment_count: 1
cell: 127, id: 278, catchment_count: 1
cell: 128, id: 279, catchment_count: 1
cell: 129, id: 280, catchment_count: 1
cell: 130, id: 345, catchment_count: 1
cell: 131, id: 346, catchment_count: 2
cell: 132, id: 347, catchment_count: 2
cell: 133, id: 349, catchment_count: 3
cell: 134, id: 348, catchment_count: 5
cell: 135, id: 283, catchment_count: 2
cell: 136, id: 282, catchment_count: 4
cell: 137, id: 281, catchment_count: 2
cell: 138, id: 150, catchment_count: 1
cell: 139, id: 216, catchment_count: 2
cell: 140, id: 217, catchment_count: 3
cell: 141, id: 152, catchment_count: 1
cell: 142, id: 151, catchment_count: 3
cell: 143, id: 86, catchment_count: 2
cell: 144, id: 21, catchment_count: 2
cell: 145, id: 20, catchment_count: 1
cell: 146, id: 19, catchment_count: 1
cell: 147, id: 85, catchment_count: 3
cell: 148, id: 84, catchment_count: 1
cell: 149, id: 149, catchment_count: 1
cell: 150, id: 215, catchment_count: 1
cell: 151, id: 214, catchment_count: 1
cell: 152, id: 83, catchment_count: 1
cell: 153, id: 148, catchment_count: 1
cell: 154, id: 213, catchment_count: 1
cell: 155, id: 212, catchment_count: 1
cell: 156, id: 147, catchment_count: 1
cell: 157, id: 81, catchment_count: 1
cell: 158, id: 82, catchment_count: 1
cell: 159, id: 158, catchment_count: 1
cell: 160, id: 157, catchment_count: 1
cell: 161, id: 156, catchment_count: 2
cell: 162, id: 90, catchment_count: 2
cell: 163, id: 23, catchment_count: 1
cell: 164, id: 22, catchment_count: 1
cell: 165, id: 88, catchment_count: 1
cell: 166, id: 87, catchment_count: 2
cell: 167, id: 153, catchment_count: 1
cell: 168, id: 154, catchment_count: 1
cell: 169, id: 89, catchment_count: 1
cell: 170, id: 155, catchment_count: 2
cell: 171, id: 286, catchment_count: 2
cell: 172, id: 220, catchment_count: 1
cell: 173, id: 219, catchment_count: 1
cell: 174, id: 218, catchment_count: 1
cell: 175, id: 284, catchment_count: 1
cell: 176, id: 285, catchment_count: 2
cell: 177, id: 350, catchment_count: 2
cell: 178, id: 351, catchment_count: 2
cell: 179, id: 352, catchment_count: 1
cell: 180, id: 353, catchment_count: 1
cell: 181, id: 287, catchment_count: 2
cell: 182, id: 221, catchment_count: 2
cell: 183, id: 222, catchment_count: 1
cell: 184, id: 288, catchment_count: 1
cell: 185, id: 223, catchment_count: 1
cell: 186, id: 224, catchment_count: 1
cell: 187, id: 289, catchment_count: 1
cell: 188, id: 354, catchment_count: 1
cell: 189, id: 355, catchment_count: 1
cell: 190, id: 420, catchment_count: 1
cell: 191, id: 485, catchment_count: 1
cell: 192, id: 486, catchment_count: 1
cell: 193, id: 617, catchment_count: 1
cell: 194, id: 551, catchment_count: 1
cell: 195, id: 616, catchment_count: 1
cell: 196, id: 615, catchment_count: 1
cell: 197, id: 550, catchment_count: 1
cell: 198, id: 419, catchment_count: 1
cell: 199, id: 484, catchment_count: 1
cell: 200, id: 418, catchment_count: 1
cell: 201, id: 483, catchment_count: 1
cell: 202, id: 482, catchment_count: 1
cell: 203, id: 417, catchment_count: 1
cell: 204, id: 416, catchment_count: 1
cell: 205, id: 415, catchment_count: 3
cell: 206, id: 481, catchment_count: 1
cell: 207, id: 547, catchment_count: 2
cell: 208, id: 612, catchment_count: 2
cell: 209, id: 613, catchment_count: 2
cell: 210, id: 548, catchment_count: 1
cell: 211, id: 549, catchment_count: 1
cell: 212, id: 614, catchment_count: 1
cell: 213, id: 680, catchment_count: 2
cell: 214, id: 679, catchment_count: 2
cell: 215, id: 678, catchment_count: 2
cell: 216, id: 744, catchment_count: 1
cell: 217, id: 743, catchment_count: 1
cell: 218, id: 809, catchment_count: 2
cell: 219, id: 745, catchment_count: 2
cell: 220, id: 810, catchment_count: 2
cell: 221, id: 811, catchment_count: 2
cell: 222, id: 812, catchment_count: 1
cell: 223, id: 746, catchment_count: 2
cell: 224, id: 681, catchment_count: 1
cell: 225, id: 747, catchment_count: 1
cell: 226, id: 682, catchment_count: 1
cell: 227, id: 683, catchment_count: 1
cell: 228, id: 748, catchment_count: 1
cell: 229, id: 813, catchment_count: 1
cell: 230, id: 814, catchment_count: 1
cell: 231, id: 880, catchment_count: 1
cell: 232, id: 945, catchment_count: 2
cell: 233, id: 879, catchment_count: 1
cell: 234, id: 878, catchment_count: 1
cell: 235, id: 943, catchment_count: 3
cell: 236, id: 944, catchment_count: 2
cell: 237, id: 1009, catchment_count: 2
cell: 238, id: 1010, catchment_count: 3
cell: 239, id: 1011, catchment_count: 2
cell: 240, id: 1077, catchment_count: 2
cell: 241, id: 1076, catchment_count: 2
cell: 242, id: 1142, catchment_count: 1
cell: 243, id: 1208, catchment_count: 2
cell: 244, id: 1273, catchment_count: 3
cell: 245, id: 1207, catchment_count: 3
cell: 246, id: 1272, catchment_count: 2
cell: 247, id: 1206, catchment_count: 2
cell: 248, id: 1075, catchment_count: 1
cell: 249, id: 1141, catchment_count: 2
cell: 250, id: 1140, catchment_count: 3
cell: 251, id: 1139, catchment_count: 2
cell: 252, id: 1205, catchment_count: 1
cell: 253, id: 1271, catchment_count: 2
cell: 254, id: 1270, catchment_count: 1
cell: 255, id: 1204, catchment_count: 2
cell: 256, id: 1269, catchment_count: 1
cell: 257, id: 1268, catchment_count: 3
cell: 258, id: 1203, catchment_count: 3
cell: 259, id: 1138, catchment_count: 2
cell: 260, id: 1137, catchment_count: 3
cell: 261, id: 1006, catchment_count: 3
cell: 262, id: 1072, catchment_count: 1
cell: 263, id: 1073, catchment_count: 3
cell: 264, id: 1074, catchment_count: 5
cell: 265, id: 1008, catchment_count: 5
cell: 266, id: 1007, catchment_count: 3
cell: 267, id: 942, catchment_count: 4
cell: 268, id: 877, catchment_count: 2
cell: 269, id: 876, catchment_count: 4
cell: 270, id: 875, catchment_count: 3
cell: 271, id: 941, catchment_count: 2
cell: 272, id: 940, catchment_count: 3
cell: 273, id: 939, catchment_count: 4
cell: 274, id: 937, catchment_count: 2
cell: 275, id: 938, catchment_count: 3
cell: 276, id: 1003, catchment_count: 2
cell: 277, id: 1004, catchment_count: 2
cell: 278, id: 1005, catchment_count: 1
cell: 279, id: 1071, catchment_count: 1
cell: 280, id: 1070, catchment_count: 2
cell: 281, id: 1136, catchment_count: 3
cell: 282, id: 1202, catchment_count: 2
cell: 283, id: 1267, catchment_count: 3
cell: 284, id: 1201, catchment_count: 1
cell: 285, id: 1266, catchment_count: 3
cell: 286, id: 1265, catchment_count: 2
cell: 287, id: 1200, catchment_count: 3
cell: 288, id: 1069, catchment_count: 3
cell: 289, id: 1135, catchment_count: 1
cell: 290, id: 1134, catchment_count: 3
cell: 291, id: 1133, catchment_count: 1
cell: 292, id: 1199, catchment_count: 2
cell: 293, id: 1264, catchment_count: 2
cell: 294, id: 1198, catchment_count: 2
cell: 295, id: 1263, catchment_count: 2
cell: 296, id: 1262, catchment_count: 2
cell: 297, id: 1197, catchment_count: 1
cell: 298, id: 1132, catchment_count: 1
cell: 299, id: 1131, catchment_count: 2
cell: 300, id: 1000, catchment_count: 4
cell: 301, id: 1066, catchment_count: 2
cell: 302, id: 1067, catchment_count: 1
cell: 303, id: 1068, catchment_count: 3
cell: 304, id: 1002, catchment_count: 2
cell: 305, id: 1001, catchment_count: 4
cell: 306, id: 936, catchment_count: 1
cell: 307, id: 935, catchment_count: 2
cell: 308, id: 934, catchment_count: 2
cell: 309, id: 869, catchment_count: 1
cell: 310, id: 803, catchment_count: 1
cell: 311, id: 737, catchment_count: 2
cell: 312, id: 672, catchment_count: 2
cell: 313, id: 738, catchment_count: 3
cell: 314, id: 673, catchment_count: 1
cell: 315, id: 674, catchment_count: 1
cell: 316, id: 739, catchment_count: 2
cell: 317, id: 804, catchment_count: 2
cell: 318, id: 870, catchment_count: 1
cell: 319, id: 805, catchment_count: 2
cell: 320, id: 871, catchment_count: 2
cell: 321, id: 806, catchment_count: 2
cell: 322, id: 872, catchment_count: 2
cell: 323, id: 873, catchment_count: 1
cell: 324, id: 874, catchment_count: 2
cell: 325, id: 808, catchment_count: 1
cell: 326, id: 807, catchment_count: 1
cell: 327, id: 742, catchment_count: 1
cell: 328, id: 677, catchment_count: 1
cell: 329, id: 676, catchment_count: 1
cell: 330, id: 741, catchment_count: 1
cell: 331, id: 740, catchment_count: 1
cell: 332, id: 675, catchment_count: 1
cell: 333, id: 609, catchment_count: 1
cell: 334, id: 610, catchment_count: 1
cell: 335, id: 611, catchment_count: 2
cell: 336, id: 545, catchment_count: 2
cell: 337, id: 546, catchment_count: 2
cell: 338, id: 480, catchment_count: 2
cell: 339, id: 479, catchment_count: 1
cell: 340, id: 414, catchment_count: 3
cell: 341, id: 413, catchment_count: 1
cell: 342, id: 544, catchment_count: 1
cell: 343, id: 478, catchment_count: 2
cell: 344, id: 412, catchment_count: 2
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cell: 2675, id: 3485, catchment_count: 2
cell: 2676, id: 3684, catchment_count: 2
cell: 2677, id: 3880, catchment_count: 2
cell: 2678, id: 4009, catchment_count: 1
cell: 2679, id: 4012, catchment_count: 2
cell: 2680, id: 4147, catchment_count: 1
cell: 2681, id: 4015, catchment_count: 1
cell: 2682, id: 3883, catchment_count: 2
cell: 2683, id: 3886, catchment_count: 1

















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Content source: gena/paper-osm-2015

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