如何在python中编写/创建GeoTIFF RGB图像文件？

我有5个numpy形状nx,ny

lons.shape = (nx,ny)
lats.shape = (nx,ny)
reds.shape = (nx,ny)
greens.shape = (nx,ny)
blues.shape = (nx,ny)

红色,绿色和蓝色数组包含的值范围为0-255,lat / lon数组是纬度/经度像素坐标.

我的问题是如何将这些数据写入geotiff？

我最终想用底图绘制图像.

这是我到目前为止的代码,但是我得到一个巨大的GeoTIFF文件(~500MB),它出现空白(只是一个黑色图像).另请注意,nx,ny = 8120,5416.

from osgeo import gdal
from osgeo import osr
import numpy as np
import h5py
import os

os.environ['GDAL_DATA'] = "/Users/andyprata/Library/Enthought/Canopy_64bit/User/share/gdal"

# read in data
input_path = '/Users/andyprata/Desktop/modisRGB/'
with h5py.File(input_path+'red.h5', "r") as f:
    red = f['red'].value
    lon = f['lons'].value
    lat = f['lats'].value

with h5py.File(input_path+'green.h5', "r") as f:
    green = f['green'].value

with h5py.File(input_path+'blue.h5', "r") as f:
    blue = f['blue'].value

# convert rgbs to uint8
r = red.astype('uint8')
g = green.astype('uint8')
b = blue.astype('uint8')

# set geotransform
nx = red.shape[0]
ny = red.shape[1]
xmin, ymin, xmax, ymax = [lon.min(), lat.min(), lon.max(), lat.max()]
xres = (xmax - xmin) / float(nx)
yres = (ymax - ymin) / float(ny)
geotransform = (xmin, xres, 0, ymax, 0, -yres)

# create the 3-band raster file
dst_ds = gdal.GetDriverByName('GTiff').Create('myGeoTIFF.tif', ny, nx, 3, gdal.GDT_Float32)
dst_ds.SetGeoTransform(geotransform)    # specify coords
srs = osr.SpatialReference()            # establish encoding
srs.ImportFromEPSG(3857)                # WGS84 lat/long
dst_ds.SetProjection(srs.ExportToWkt()) # export coords to file
dst_ds.GetRasterBand(1).WriteArray(r)   # write r-band to the raster
dst_ds.GetRasterBand(2).WriteArray(g)   # write g-band to the raster
dst_ds.GetRasterBand(3).WriteArray(b)   # write b-band to the raster
dst_ds.FlushCache()                     # write to disk
dst_ds = None                           # save, close

解决方法:

我认为问题是当你创建数据集时,你传递它GDT_Float32.对于像素范围为0-255的标准图像,您需要GDT_Byte. Float要求值通常在0到1之间.

我拿了你的代码并随机生成了一些数据,所以我可以测试你的其余API.然后我在太浩湖周围创建了一些虚拟坐标.

这是代码.

#!/usr/bin/env python
from osgeo import gdal
from osgeo import osr
import numpy as np
import os, sys

#  Initialize the Image Size
image_size = (400,400)

#  Choose some Geographic Transform (Around Lake Tahoe)
lat = [39,38.5]
lon = [-120,-119.5]

#  Create Each Channel
r_pixels = np.zeros((image_size), dtype=np.uint8)
g_pixels = np.zeros((image_size), dtype=np.uint8)
b_pixels = np.zeros((image_size), dtype=np.uint8)

#  Set the Pixel Data (Create some boxes)
for x in range(0,image_size[0]):
    for y in range(0,image_size[1]):
        if x < image_size[0]/2 and y < image_size[1]/2:
            r_pixels[y,x] = 255
        elif x >= image_size[0]/2 and y < image_size[1]/2:
            g_pixels[y,x] = 255
        elif x < image_size[0]/2 and y >= image_size[1]/2:
            b_pixels[y,x] = 255
        else:
            r_pixels[y,x] = 255
            g_pixels[y,x] = 255
            b_pixels[y,x] = 255

# set geotransform
nx = image_size[0]
ny = image_size[1]
xmin, ymin, xmax, ymax = [min(lon), min(lat), max(lon), max(lat)]
xres = (xmax - xmin) / float(nx)
yres = (ymax - ymin) / float(ny)
geotransform = (xmin, xres, 0, ymax, 0, -yres)

# create the 3-band raster file
dst_ds = gdal.GetDriverByName('GTiff').Create('myGeoTIFF.tif', ny, nx, 3, gdal.GDT_Byte)

dst_ds.SetGeoTransform(geotransform)    # specify coords
srs = osr.SpatialReference()            # establish encoding
srs.ImportFromEPSG(3857)                # WGS84 lat/long
dst_ds.SetProjection(srs.ExportToWkt()) # export coords to file
dst_ds.GetRasterBand(1).WriteArray(r_pixels)   # write r-band to the raster
dst_ds.GetRasterBand(2).WriteArray(g_pixels)   # write g-band to the raster
dst_ds.GetRasterBand(3).WriteArray(b_pixels)   # write b-band to the raster
dst_ds.FlushCache()                     # write to disk
dst_ds = None

这是输出. (注意：目标是产生颜色,而不是地形！)

这是QGIS中的图像,验证投影.

标签：gdal,python,numpy,rgb,geotiff
来源： https://codeday.me/bug/20191001/1839064.html