b1a1aef39e
Put duplicated code inside the transaction, which is used by both tests and raster_to_gtiff Removed <filesystem> header, reimplemented one of its utilities for file checking Code style changes Replaced .data() with .c_str() for std::string Updated README to show how to build both GDAL and PROJ inside the build folder and how to link them to the sandbox |
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|---|---|---|
| .. | ||
| raster_to_gtiff | ||
| CANYrelief1-geo.tif | ||
| CMakeLists.txt | ||
| raster.cc | ||
| README.md | ||
GDAL Raster GeoTIFF Workflow
Build Tools: CMake/Ninja
OS: Linux
For installing GDAL:
sudo apt-get install python3.6-dev
sudo add-apt-repository ppa:ubuntugis/ppa && sudo apt update
sudo apt-get install gdal-bin
sudo apt-get install libgdal-dev
Dependencies:
PNG: sudo apt-get install libpng-dev
PCRE: sudo apt-get install libpcre3 libpcre3-dev
PROJ: sudo apt-get install libproj-dev
OBS! You may need to set export LD_LIBRARY_PATH=/lib:/usr/lib:/usr/local/lib.
It is required for libproj.so to be found into /usr/local/lib/. You can also fix
this by typing locate libproj.so which will give you
<the_absolute_libproj.so_path> and then cp <the_absolute_libproj.so_path> /usr/local/lib/.
Initializing GDAL submodule:
git submodule add https://github.com/OSGeo/gdal/tree/master/gdal
Building GDAL statically
GNUmakefile from gdal/gdal can handle building the static library.
cd gdal/gdal && make static-lib
cd ../.. && mkdir lib
cp gdal/gdal/libgdal.a lib/
OBS! The file is huge! It may take a while.
For testing:
mkdir build && cd build
cmake .. -G Ninja
ninja
./raster <your_absolute_tiff_file_path>
About the project
GDAL is a translator library for raster and vector geospatial data format. The project consist in rastering a GeoTIFF file format using GDAL functionalities and sandboxed methods.
Implementation
Sandboxing...
The purpose of sandboxing is to limit the permissions and capabilities of library’s methods, in order to secure the usage of them. After obtaining the sandbox, the functions will be called through an Sandbox API (being called api in the current test) and so, the operations, system calls or namspaces access may be controlled.
Raster process...
Useful functions from the gdal.h header are added to the SAPI library built
with CMake.
One .tiff file is manipulated with GDALOpen functionality, which extracts a pointer to the data set containg a list of raster bands, all pertaining to the same area. Metadata, a coordinate system, a georeferencing transform, size of raster and various other information are kept into the data set that corresponds to the image.
To create an array containing the image information, the dimentions needed are extracted using some specific GDAL(X/Y)Size functions applied to the block. GDALRasterBand function takes care of data type conversion, one more step following: placing the converted data (with RasterIO method) into the created and well allocated structure.