# Copyright (c) 2014, Vienna University of Technology (TU Wien), Department
# of Geodesy and Geoinformation (GEO).
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# Author: Isabella Pfeil, isy.pfeil@gmx.at
# Creation date: 2014-09-11
"""
GeoTIFF operations.
"""
import numpy as np
[docs]def lonlat2px_gt(img, lon, lat, lon_min, lat_min, lon_max, lat_max):
"""
Converts a pair of lon and lat to its corresponding pixel value in an
geotiff image file.
Parameters
----------
img : Image File, e.g. PNG, TIFF
Input image file
lon : float
Longitude
lat : float
Latitude
lon_min, lat_min : float
lower left coordinate of geotiff
lon_max, lat_max : float
upper right coordinate of geotiff
Returns
-------
Row : float
corresponding pixel value
Col : float
corresponding pixel value
"""
w, h = img.size
londiff = lon_max - lon_min
latdiff = lat_max - lat_min
mw = w / londiff
mh = h / latdiff
row = (-lat + lat_max) * mh
col = (lon - lon_min) * mw
return row, col
[docs]def px2lonlat_gt(img, lon_px, lat_px, lon_min, lat_min, lon_max, lat_max):
"""
Converts two arrays of row and column pixels into their corresponding
longitude and latitude arrays
Parameters
----------
img : Image file
Image which the pixel values refer to
lon_px : np.array
array of column pixels
lat_px : np.array
array of row pixels
Returns
-------
lon_new : np.array
List of corresponding longitude values
lat_new: np.array
List of corresponding latitude values
lon_min, lat_min : float
lower left coordinate of geotiff
lon_max, lat_max : float
upper right coordinate of geotiff
"""
w, h = img.size
londiff = lon_max - lon_min
latdiff = lat_max - lat_min
mw = w / londiff
mh = h / latdiff
lon_new = np.zeros(len(lon_px))
lat_new = np.zeros(len(lat_px))
for i in range(0, len(lon_px)):
lon_new[i] = lon_min + lon_px[i] / mw
for i in range(0, len(lat_px)):
lat_new[i] = lat_max - lat_px[i] / mh
return lon_new, lat_new