geotif 添加坐标_从GeoTIFF Fi获取纬度和经度
要获取geotiff角的坐标，请执行以下操作：from osgeo import gdal
ds = gdal.Open('path/to/file')
width = ds.RasterXSize
height = ds.RasterYSize
gt = ds.GetGeoTransform()
minx = gt[0]
miny = gt[3] + widthgt[4] + heightgt[5]
maxx = gt[0] + widthgt[1] + heightgt[2]
maxy = gt[3]
但是，这些可能不是纬度/经度格式。正如Justin所说，geotiff将以某种坐标系存储。如果您不知道它是什么坐标系，可以通过运行gdalinfo找到：gdalinfo ~/somedir/somefile.tif
哪些输出：Driver: GTiff/GeoTIFF
Size is 512, 512
Coordinate System is:
PROJCS["NAD27 / UTM zone 11N",
GEOGCS["NAD27",
DATUM["North_American_Datum_1927",
SPHEROID["Clarke 1866",6378206.4,294.978698213901]],
PRIMEM["Greenwich",0],
UNIT["degree",0.0174532925199433]],
PROJECTION["Transverse_Mercator"],
PARAMETER["latitude_of_origin",0],
PARAMETER["central_meridian",-117],
PARAMETER["scale_factor",0.9996],
PARAMETER["false_easting",500000],
PARAMETER["false_northing",0],
UNIT["metre",1]]
Origin = (440720.000000,3751320.000000)
Pixel Size = (60.000000,-60.000000)
Corner Coordinates:
Upper Left ( 440720.000, 3751320.000) (117d38'28.21"W, 33d54'8.47"N)
Lower Left ( 440720.000, 3720600.000) (117d38'20.79"W, 33d37'31.04"N)
Upper Right ( 471440.000, 3751320.000) (117d18'32.07"W, 33d54'13.08"N)
Lower Right ( 471440.000, 3720600.000) (117d18'28.50"W, 33d37'35.61"N)
Center ( 456080.000, 3735960.000) (117d28'27.39"W, 33d45'52.46"N)
Band 1 Block=512x16 Type=Byte, ColorInterp=Gray
这个输出可能就是你所需要的。但是，如果您想用python编程实现这一点，这就是获得相同信息的方式。
可悲的是，并非所有的经纬度对都是基于地球不同的球体模型而产生的。在本例中，我将转换为WGS84，这是GPSs中最受欢迎的地理坐标系，所有流行的web地图站点都使用它。坐标系由定义良好的字符串定义。它们的目录可从spatial ref获得，请参见例如WGS84。from osgeo import osr, gdal
get the existing coordinate system
ds = gdal.Open('path/to/file')
old_cs= osr.SpatialReference()
old_cs.ImportFromWkt(ds.GetProjectionRef())
create the new coordinate system
wgs84_wkt = """
GEOGCS["WGS 84",
DATUM["WGS_1984",
SPHEROID["WGS 84",6378137,298.257223563,
AUTHORITY["EPSG","7030"]],
AUTHORITY["EPSG","6326"]],
PRIMEM["Greenwich",0,
AUTHORITY["EPSG","8901"]],
UNIT["degree",0.01745329251994328,
AUTHORITY["EPSG","9122"]],
AUTHORITY["EPSG","4326"]]"""
new_cs = osr.SpatialReference()
new_cs .ImportFromWkt(wgs84_wkt)
create a transform object to convert between coordinate systems
transform = osr.CoordinateTransformation(old_cs,new_cs)
#get the point to transform, pixel (0,0) in this case
width = ds.RasterXSize
height = ds.RasterYSize
gt = ds.GetGeoTransform()
minx = gt[0]
miny = gt[3] + widthgt[4] + heightgt[5]
#get the coordinates in lat long
latlong = transform.TransformPoint(minx,miny)
希望这能满足你的要求。