[GIS] Build GDAL with CMake

buildgdal

As stated here: https://trac.osgeo.org/gdal/wiki/CMake
GDAL is not yet ready to be compiled with CMake:

News

2012-04-28:

Pilot project of CMake configuration for GDAL is being developed internally by Kitware. It should be delivered soon,
so stay tuned. Once first beta is released to the public, it will be
available for testing, improvements

But this is pretty old.
Any idea on the roadmap if always planned?
(I'd like to know which flag I can switch to enable python bindings because now it cannot find osgeo within QGIS).

I'm using Ubuntu 18.04.

Best Answer

The CMaked GDAL with all needed dependencies can be found at nextgis-borsch repository. Take a look: https://github.com/nextgis-borsch/lib_gdal

Related Solutions

GDAL with MBTiles – How to Build GDAL with MBTiles Driver

You can try this way, it helped me.

Append repository for libspatialite5 and libgeos-c1 to source list (if it does not exist)

sudo gedit /etc/apt/sources.list

deb http://us.archive.ubuntu.com/ubuntu vivid main universe

then install dependencies

sudo apt update

libspatialite5 depend on libgeos-c1 (>= 3.4.2), so in my case it is

sudo apt install libspatialite5 libgeos-c1 libspatialite-dev  spatialite-bin sqlite3

cd to your GDAL folder

$ cd gdal-2.1.3/

make configuration

./configure --with-spatialite --with-sqlite

run

make

and then

sudo make install

Thanks user30184 and Dmitriy Litvinov. More information about this case you can find Convert .tif to .mbtiles using python/GDAL

Python GDAL – Building Reflectance Maps with Python and GDAL

This is a non-trivial problem. One solution is to collect ground reflectance spectra coincident with the time of UAV flight. The reference spectra may consist of white, grey and black panels that are placed on the ground in a visible location. A spectral radiometer is then used to measure the reflectance of each calibration panel.

The radiometer readings are then used to perform an empirical line calibration. This is essentially a linear regression between the raw DN values recorded by the UAV and the ground reflectance spectra recorded by the radiometer. This is done individually for each spectral band.

The black and white calibration panels should ideally be the darkest and brightest objects in the scene (this prevents unwanted extrapolation which can lead to poor results). The grey reflectance panel should fall in between these two min-max values, however a non-linear correction my be applied if this is not the case:

Once you have the linear relationship for each band, you can apply the correction using band math or raster calculator functions in GDAL or QGIS.

References: Smith, G. M., & Milton, E. J. (1999). The use of the empirical line method to calibrate remotely sensed data to reflectance. International Journal of remote sensing, 20(13), 2653-2662.

Best Answer

Related Solutions

GDAL with MBTiles – How to Build GDAL with MBTiles Driver

Python GDAL – Building Reflectance Maps with Python and GDAL

Related Question