今天我遇到了麻烦,因为我第一次使用TIFF文件,我有一个错误.我正试图在欧洲抓住一个带有污染物价值的光栅,所以我对保持图像的高分辨率并不感兴趣,但只是为了保存数据,我可以操纵图像.我的代码非常简单:
from __future__ import print_function
import numpy
import urllib2
from PIL import Image
f = open('./maccrasters/prova.tif','w')
fullMap = urllib2.urlopen("http://wdc.dlr.de/wdcservices/wcs.php?COVERAGE=17e72d93-76d9-4af6-9899-b7b04e2763c8&service=wcs&version=1.0.0&crs=epsg:4326&bbox=-25,30,45,70&RESX=0.1&RESY=0.1&request=getcoverage&format=application/x-tiff-32f&TIME=2015-12-13T00&elevation=0&OUTPUTFILENAME=17e72d93-76d9-4af6-9899-b7b04e2763c8_2015-12-13T00_0")
im = Image.open(fullMap)
print(im.format, im.size, im.mode) # output is TIFF (700,400) F
im.show()
im.save(f, "TIFF")
系统返回一个输出,我找不到该错误的解决方案:
_TIFFVSetField: ./maccrasters/prova.tif: Invalid tag "TileOffsets" (not supported by codec).
Traceback (most recent call last):
File "getrasters.py", line 20 in <module>
im.save(f, "TIFF")
File "C:\Python27\lib\site-packages\PIL\Image.py", line 1665, in save
save_handler(self, fp, filename)
File "C:\Python27\lib\site-packages\PIL\TiffImagePlugin.py", line 1307, in _save
e = Image._getencoder(im.mode, 'libtiff', a, im.encoderconfig)
File "C:\Python27\lib\site-packages\PIL\Image.py",line 430, in _getencoder
return encoder(mode, *args + extra)
RuntimeError: Error setting from dictionary
有人可以帮帮我吗?
最佳答案 的GeoTIFF
您的文件不是常规的tiff文件,它是一个需要特殊库的geoTiff文件.
对于python,有georasters库来读取这些文件.然后,您可以使用matplotlib显示它们.
在我看来,使用请求有一个比urllib更好的界面:
import requests
from PIL import Image
import georasters as gr
import matplotlib.pyplot as plt
url = 'http://wdc.dlr.de/wdcservices/wcs.php'
query = {
'COVERAGE': '17e72d93-76d9-4af6-9899-b7b04e2763c8',
'service': 'wcs',
'version': '1.0.0',
'crs': 'epsg:4326',
'bbox': '-25,30,45,70',
'RESX': '0.1',
'RESY': '0.1',
'request': 'getcoverage',
'format': 'application/x-tiff-32f',
'TIME': '2015-12-13T00',
'elevation': '0',
'OUTPUTFILENAME': '17e72d93-76d9-4af6-9899-b7b04e2763c8_2015-12-13T00_0'
}
with open('test.tiff', 'wb') as f:
ret = requests.get(url, stream=True, params=query)
for data in ret.iter_content(1024):
f.write(data)
data = gr.from_file('test.tiff')
plt.imshow(data.raster, cmap='gray')
plt.show()