如何使用Python GDAL绑定获取栅格角坐标？

#1 楼

from osgeo import gdal,ogr,osr

def GetExtent(gt,cols,rows):
    ''' Return list of corner coordinates from a geotransform

        @type gt:   C{tuple/list}
        @param gt: geotransform
        @type cols:   C{int}
        @param cols: number of columns in the dataset
        @type rows:   C{int}
        @param rows: number of rows in the dataset
        @rtype:    C{[float,...,float]}
        @return:   coordinates of each corner
    '''
    ext=[]
    xarr=[0,cols]
    yarr=[0,rows]

    for px in xarr:
        for py in yarr:
            x=gt[0]+(px*gt[1])+(py*gt[2])
            y=gt[3]+(px*gt[4])+(py*gt[5])
            ext.append([x,y])
            print x,y
        yarr.reverse()
    return ext

def ReprojectCoords(coords,src_srs,tgt_srs):
    ''' Reproject a list of x,y coordinates.

        @type geom:     C{tuple/list}
        @param geom:    List of [[x,y],...[x,y]] coordinates
        @type src_srs:  C{osr.SpatialReference}
        @param src_srs: OSR SpatialReference object
        @type tgt_srs:  C{osr.SpatialReference}
        @param tgt_srs: OSR SpatialReference object
        @rtype:         C{tuple/list}
        @return:        List of transformed [[x,y],...[x,y]] coordinates
    '''
    trans_coords=[]
    transform = osr.CoordinateTransformation( src_srs, tgt_srs)
    for x,y in coords:
        x,y,z = transform.TransformPoint(x,y)
        trans_coords.append([x,y])
    return trans_coords

raster=r'somerasterfile.tif'
ds=gdal.Open(raster)

gt=ds.GetGeoTransform()
cols = ds.RasterXSize
rows = ds.RasterYSize
ext=GetExtent(gt,cols,rows)

src_srs=osr.SpatialReference()
src_srs.ImportFromWkt(ds.GetProjection())
#tgt_srs=osr.SpatialReference()
#tgt_srs.ImportFromEPSG(4326)
tgt_srs = src_srs.CloneGeogCS()

geo_ext=ReprojectCoords(ext,src_srs,tgt_srs)

#2 楼

src = gdal.Open(path goes here)
ulx, xres, xskew, uly, yskew, yres  = src.GetGeoTransform()
lrx = ulx + (src.RasterXSize * xres)
lry = uly + (src.RasterYSize * yres)

from osgeo import ogr
from osgeo import osr

# Setup the source projection - you can also import from epsg, proj4...
source = osr.SpatialReference()
source.ImportFromWkt(src.GetProjection())

# The target projection
target = osr.SpatialReference()
target.ImportFromEPSG(4326)

# Create the transform - this can be used repeatedly
transform = osr.CoordinateTransformation(source, target)

# Transform the point. You can also create an ogr geometry and use the more generic `point.Transform()`
transform.TransformPoint(ulx, uly)

#3 楼

ds_raster = rasterio.open(raster_path)
bounds = ds_raster.bounds
left= bounds.left
bottom = bounds.bottom
right = bounds.right
top = bounds.top

#4 楼

imagefile= /pathto/image
p= subprocess.Popen(["gdalinfo", "%s"%imagefile], stdout=subprocess.PIPE)
out,err= p.communicate()
ul= out[out.find("Upper Left")+15:out.find("Upper Left")+38]
lr= out[out.find("Lower Right")+15:out.find("Lower Right")+38]

#5 楼

from affine import Affine

# E.g., from a GDAL DataSet object:
# gt = ds.GetGeoTransform()
# ncol = ds.RasterXSize
# nrow = ds.RasterYSize

# or to work with a minimal example
gt = (100.0, 17.320508075688775, 5.0, 200.0, 10.0, -8.660254037844387)
ncol = 10
nrow = 15

transform = Affine.from_gdal(*gt)
print(transform)
# | 17.32, 5.00, 100.00|
# | 10.00,-8.66, 200.00|
# | 0.00, 0.00, 1.00|

c0x, c0y = transform.c, transform.f  # upper left
c1x, c1y = transform * (0, nrow)     # lower left
c2x, c2y = transform * (ncol, nrow)  # lower right
c3x, c3y = transform * (ncol, 0)     # upper right

xs = (c0x, c1x, c2x, c3x)
ys = (c0y, c1y, c2y, c3y)
bounds = min(xs), min(ys), max(xs), max(ys)

#6 楼