geotiff 0.1.6

A noGDAL tool for reading and writing geotiff files

geotiff

A noGDAL tool for reading geotiff files

WARNING this package is under development and some features are unstable. Use with caution.

Please support this project be giving it a star on GitHub!

What is noGDAL?

noGDAL is a philosophy for developing geospatial programs in python without using GDAL.

Instillation

Installing this package is as easy as:

pip install geotiff

Usage

Read the GeoTiff to an array

from geotiff import GeoTiff

geoTiff = GeoTiff(tiff_file)
array = geoTiff.read()

This will detect the crs code. If it's 'user defined' and you know what it should be, you may supply a crs code:

geoTiff = GeoTiff(tiff_file, crs_code=4236)

Get bounding box info about the tiff

# in the original CRS
geotiff.tif_bBox
# as WGS 84
geotiff.tif_bBox_wgs_84

Get coordinates of a point/pixel

i=5
j=6
geoTiff.get_wgs_84_coords(i, j)

Get the original crs code

geotiff.crs_code

Read a sections of a large tiff using a WGS 84 area

from geotiff import GeoTiff

# in WGS 84
area_box = [(138.632071411, -32.447310785), (138.644218874, -32.456979174)]
geotiff = GeoTiff(tiff_file)
array = geotiff.read_box(area_box)

Getting bounding box information

# col and row indexes of the cut area
int_box = geoTiff.get_int_box(area_box)
# lon and lat coords of the cut points/pixels
geoTiff.get_bBox_wgs_84(area_box)

Get coordinates of a point/pixel

i=int_box[0][0] + 5
j=int_box[0][1] + 6
geoTiff.get_wgs_84_coords(i, j)

Contributing

If you would like to contribute to this project, please fork it and make a PR with you patches.

You can join the conversation by saying hi in the project discussion board.

To help users and and other contributes, be sure to:

• make doc blocs if appropriate
• use typing wherever possible.

Note: The continuous integration has lint checking with mypy, so be sure to check it yourself before making a PR.

Project Road Map

Core Features

• read tiff files (including BigTiff)
• write tiff files (including BigTiff)
• (UNSTABLE/LIMITED) convert between coordinate systems
• read a user defined CRS
• cut a section (bounding box) of the tiff file
• convert the data to numpy arrays

Additional features

• (50%) Full test coverage
• Typing with lint checking using mypy
• Documentation: doc blocs
• Documentation: readthedocs