def match_class(df):
shandong = df.to_crs(3857)
box = gutil.shp2box(shandong, (3600, 2400), 0.15, 1)
paper = gnp.frombox(*box, dtype=np.uint8)
idx = gmt.build_index(glob('../data/class/*.tif'))
gmt.match_idx(idx, paper, out='in', order=0)
gio.write_tif(paper, '../data/result/shandong_class.tif')
def draw_class():
# ===== look up table =====
lut = np.array([[0 ,0 ,0 ],
[168,168,0 ],
[20 ,119,73 ],
[169,208,95 ],
[56 ,168,0 ],
[126,206,244],
[0 ,86 ,154],
[112,168,0 ],
[147,47 ,20 ],
[202,202,202],
[0 ,255,197],
[255,255,255]], dtype=np.uint8)
# ===== read shape file and make a paper =====
liaoning = gio.read_shp('../data/shape/shandong.shp')
liaoning = liaoning.to_crs(3857)
box = gutil.shp2box(liaoning, (3600, 2400), 0.15, 1)
paper = gnp.frombox(*box, dtype=np.uint8)
# ===== match the class tif into paper
fs = glob('../data/class/*.tif')
idx = gmt.build_index(fs)
gmt.match_idx(idx, paper, out='in', order=0)
msk = paper * 0
gdraw.draw_polygon(msk, liaoning, 255, 0)
paper[msk==0] = 11
body = [('图例', 'simhei', 72),
('rect', 1, '农田'),
('rect', 2, '森林'),
('rect', 3, '草地'),
('rect', 4, '灌丛'),
('rect', 5, '湿地'),
('rect', 6, '水体'),
('rect', 7, '苔原'),
('rect', 8, '隔水层'),
('rect', 9, '裸地'),
('rect', 10, '冰雪')]
# 底图，位置，内容，空隙，矩形尺寸及线宽，字体字号颜色，外边框宽度
gdraw.draw_style(paper, 60, -60, body, mar=(20, 30),
recsize=(120,60,0), font=('simsun', 60, 0), color=0, box=0)
gdraw.draw_unit(paper, -120, -60, 0.3, 30, ('times', 48), 0, 'km', 3, anc='r')
gdraw.draw_text(paper, '山东省土地利用类型', 80, 60, 0, ('simkai', 128))
gdraw.draw_N(paper, -240, 240, ('simhei', 100), 2, 100, 0)
gdraw.draw_polygon(paper, liaoning, 0, 2)
gdraw.draw_bound(paper, 5, 5, -5, -5, 0, 2, clear=None)
return paper.lookup(lut)
def match_idx_test():
shandong = gio.read_shp('../data/shape/shandong.shp')
shandong = shandong.to_crs(3857)
info = gutil.shp2box(shandong, (2048, 768 * 2), 0.05, 1)
paper = gnp.frombox(*info, dtype=np.int16)
fs = glob('../data/modis/*.hdf')
idx = gmt.build_index(fs)
gmt.match_idx(idx, paper, out='in', chan=[0])
plt.imshow(paper)
plt.show()
def run(self, tps, snap, data, para=None):
table = TableManager.get(para['temp']).get_subtab()
box = gutil.shp2box(table, para['scale']
or (para['width'], para['height']), para['mar'])
chans = list(data['channels'][0])
chans = [chans.index(i) for i in para['chans']]
order = {'nearest': 0, 'linear': 1}[para['order']]
rst = gmt.match_idx(data, box, chans, step=para['step'], order=order)
IPy.show_img([rst], tps.title + '-merge')
def run(self, tps, snap, data, para=None):
ipst = ImageManager.get(para['temp'])
chans = list(data['channels'][0])
chans = [chans.index(i) for i in para['chans']]
order = {'nearest': 0, 'linear': 1}[para['order']]
rst = gmt.match_idx(data,
ipst.img,
chans,
step=para['step'],
order=order)
ipst.update()
def match_idx_test():
shandong = gio.read_shp('../data/shape/shandong.shp')
shandong = shandong.to_crs(3857)
info = gutil.shp2box(shandong, (2048, 768 * 2), 0.05)
fs = glob('../data/modis/*.hdf')
idx = gmt.build_index(fs)
rst = gmt.match_idx(idx, info, chan=[0])
plt.imshow(rst)
plt.show()
def run(self, tps, snap, data, para=None):
prj = None
if para['wkt'] != '':
with open(para['wkt']) as f:
prj = f.read()
crs = gutil.makecrs(prj or para['crs'])
table = data.to_crs(crs)
box = gutil.shp2box(table, para['scale']
or (para['width'], para['height']), para['mar'])
chans = list(data['channels'][0])
chans = [chans.index(i) for i in para['chans']]
order = {'nearest': 0, 'linear': 1}[para['order']]
rst = gmt.match_idx(data, box, chans, step=para['step'], order=order)
IPy.show_img([rst], tps.title + '-merge')
'https://map.geoq.cn/ArcGIS/rest/services/ChinaOnlineStreetPurplishBlue/MapServer/tile/{z}/{y}/{x}',
'gaode':
'https://webst01.is.autonavi.com/appmaptile?style=6&x={x}&y={y}&z={z}',
'google': 'http://mt1.google.com/vt/lyrs=s&x={x}&y={y}&z={z}'
}
def download_online_tiles(tiles, path, src='gaode'):
for i, g, x, y, z in tiles[['geometry', 'x', 'y', 'z']].to_records():
img = imread(urls[src].format(x=x, y=y, z=z))
img = build_geo_tif(img, 3857, g.bounds)
gio.write_tif(img, '%s/%ld_%d_%d.tif' % (path, z, y, x))
if __name__ == '__main__':
import geonumpy.draw as gdraw
import geonumpy.match as gmt
import geonumpy.io as gio
from glob import glob
box = gio.read_tif_box('./3.背景TIF.tif')
buf = gnp.frombox(*box[:3], 3)
tiles = build_online_tiles(level=7, box=box[:3])
download_online_tiles(tiles, './tiles', 'gaode')
idx = gmt.build_index(glob('./tiles/*.tif'))
rst = gmt.match_idx(idx, box[:3])
gio.write_tif(rst, 'b.tif')