使用 python 和 gdal 从 .geotiff 中的像素点查找 lat/long 坐标
Find lat/long coordinates from pixel point in .geotiff using python and gdal
我在 .geotiff 图像中有由像素坐标定义的点。
我正在尝试将这些像素坐标转换为经度和纬度。
起初我试图从我之前问过的逆向问题中改编给定的代码
def pixel_to_world(geo_matrix, x, y):
ul_x = geo_matrix[0]
ul_y = geo_matrix[3]
x_dist = geo_matrix[1]
y_dist = geo_matrix[5]
_x = x * x_dist + ul_x
_y = y * y_dist + ul_y
return (_x, _y)
def build_transform_inverse(dataset, EPSG):
source = osr.SpatialReference(wkt=dataset.GetProjection())
target = osr.SpatialReference()
target.ImportFromEPSG(4326)
return osr.CoordinateTransformation(source, target)
def find_spatial_coordinate_from_pixel(dataset, transform, x, y):
point = ogr.Geometry(ogr.wkbPoint)
point.AddPoint(float(x), float(y))
point.Transform(transform)
return pixel_to_world(dataset.GetGeoTransform(), point.GetX(), point.GetY())
ds = gdal.Open(source_directory_path + filename)
_t = build_transform_inverse(ds, 4326)
coordinates = find_spatial_coordinate_from_pixel(ds, _t, point[0], point[1])
但我的最终坐标不正确,我得到的是 (-1528281.9351183572, 1065990.778732022) 而不是 (-13.728790283203121, 9.531686027524676)
ul_x = -1528281.943533814,
ul_y = 1065990.7964650677,
x_dist = 0.5970709765586435,
y_dist = -0.5972870511184641
我也试过像这样的光栅方法:
import rasterio
with rasterio.open('path/to/file.tiff') as map_layer:
pixels2coords = map_layer.xy(2679,2157)
print(pixels2coords)
无法 return 合适的长纬度坐标对(它 returns (-1526993.7629018887, 1064390.365811596))。
我做错了什么?
您颠倒了像素、投影坐标和经纬度之间的转换顺序。你正在做的订单 pixels -> lat lngs -> projected
它应该是 pixels -> projected -> lat lngs
.
以下应该有效
from osgeo import osr, ogr, gdal
def pixel_to_world(geo_matrix, x, y):
ul_x = geo_matrix[0]
ul_y = geo_matrix[3]
x_dist = geo_matrix[1]
y_dist = geo_matrix[5]
_x = x * x_dist + ul_x
_y = y * y_dist + ul_y
return _x, _y
def build_transform_inverse(dataset, EPSG):
source = osr.SpatialReference(wkt=dataset.GetProjection())
target = osr.SpatialReference()
target.ImportFromEPSG(EPSG)
return osr.CoordinateTransformation(source, target)
def find_spatial_coordinate_from_pixel(dataset, transform, x, y):
world_x, world_y = pixel_to_world(dataset.GetGeoTransform(), x, y)
point = ogr.Geometry(ogr.wkbPoint)
point.AddPoint(world_x, world_y)
point.Transform(transform)
return point.GetX(), point.GetY()
ds = gdal.Open(source_directory_path + filename)
_t = build_transform_inverse(ds, 4326)
coordinates = find_spatial_coordinate_from_pixel(ds, _t, point[0], point[1])
print(coordinates)
在 find_spatial_coordinate_from_pixel
中我颠倒了顺序,现在 pixel_to_world
在坐标转换之前首先被调用。
我在 .geotiff 图像中有由像素坐标定义的点。
我正在尝试将这些像素坐标转换为经度和纬度。
起初我试图从我之前问过的逆向问题中改编给定的代码
def pixel_to_world(geo_matrix, x, y):
ul_x = geo_matrix[0]
ul_y = geo_matrix[3]
x_dist = geo_matrix[1]
y_dist = geo_matrix[5]
_x = x * x_dist + ul_x
_y = y * y_dist + ul_y
return (_x, _y)
def build_transform_inverse(dataset, EPSG):
source = osr.SpatialReference(wkt=dataset.GetProjection())
target = osr.SpatialReference()
target.ImportFromEPSG(4326)
return osr.CoordinateTransformation(source, target)
def find_spatial_coordinate_from_pixel(dataset, transform, x, y):
point = ogr.Geometry(ogr.wkbPoint)
point.AddPoint(float(x), float(y))
point.Transform(transform)
return pixel_to_world(dataset.GetGeoTransform(), point.GetX(), point.GetY())
ds = gdal.Open(source_directory_path + filename)
_t = build_transform_inverse(ds, 4326)
coordinates = find_spatial_coordinate_from_pixel(ds, _t, point[0], point[1])
但我的最终坐标不正确,我得到的是 (-1528281.9351183572, 1065990.778732022) 而不是 (-13.728790283203121, 9.531686027524676)
ul_x = -1528281.943533814,
ul_y = 1065990.7964650677,
x_dist = 0.5970709765586435,
y_dist = -0.5972870511184641
我也试过像这样的光栅方法:
import rasterio
with rasterio.open('path/to/file.tiff') as map_layer:
pixels2coords = map_layer.xy(2679,2157)
print(pixels2coords)
无法 return 合适的长纬度坐标对(它 returns (-1526993.7629018887, 1064390.365811596))。
我做错了什么?
您颠倒了像素、投影坐标和经纬度之间的转换顺序。你正在做的订单 pixels -> lat lngs -> projected
它应该是 pixels -> projected -> lat lngs
.
以下应该有效
from osgeo import osr, ogr, gdal
def pixel_to_world(geo_matrix, x, y):
ul_x = geo_matrix[0]
ul_y = geo_matrix[3]
x_dist = geo_matrix[1]
y_dist = geo_matrix[5]
_x = x * x_dist + ul_x
_y = y * y_dist + ul_y
return _x, _y
def build_transform_inverse(dataset, EPSG):
source = osr.SpatialReference(wkt=dataset.GetProjection())
target = osr.SpatialReference()
target.ImportFromEPSG(EPSG)
return osr.CoordinateTransformation(source, target)
def find_spatial_coordinate_from_pixel(dataset, transform, x, y):
world_x, world_y = pixel_to_world(dataset.GetGeoTransform(), x, y)
point = ogr.Geometry(ogr.wkbPoint)
point.AddPoint(world_x, world_y)
point.Transform(transform)
return point.GetX(), point.GetY()
ds = gdal.Open(source_directory_path + filename)
_t = build_transform_inverse(ds, 4326)
coordinates = find_spatial_coordinate_from_pixel(ds, _t, point[0], point[1])
print(coordinates)
在 find_spatial_coordinate_from_pixel
中我颠倒了顺序,现在 pixel_to_world
在坐标转换之前首先被调用。