GDAL Reviews & Product Details

The support for different file formats, support for major programming languages- Python, Java, C++. You can access almost any format of GIS file usimg GDAL Review collected by and hosted on G2.com.

Documentation could be still better especially for Python. Also some of the GDAL processes can use multiprocessing to get quick results in case of multi core processors. Review collected by and hosted on G2.com.

most of the time use GDAL CLI and it was very easy to customize the script make as per our requirement Review collected by and hosted on G2.com.

should have to work on the performance side for the huge size of data, it took much time to process a large set of raster/vector data. that should improved Review collected by and hosted on G2.com.

All GDAL based utilities are really great, especially raster based utilities are awesome. Even, I have fully automated and shifted the ArcGIS based workflow to GDAL based workflow for MODIS data.Highly satisfied with GDAL and it has become part of my skillset. Review collected by and hosted on G2.com.

Nothing as such. But gdal_calc should be provided as a function in newer versions of GDAL as other utilities such as gdal_warp and gdal_translate are available in the form of gdal.warp and gdal.Translate. As gdal_calc.py provides a very great raster calculator. Review collected by and hosted on G2.com.

GDAL definitely become an important part of spatial data management software due to its capability to convert from one format to another format both in raster and vector Review collected by and hosted on G2.com.

since GDAL is a library hence working in the background, usualy people does not feel their presence and contribution Review collected by and hosted on G2.com.

Comand line GDAL/OGR Commands. Customizable Review collected by and hosted on G2.com.

Installation in windows seems more complex Review collected by and hosted on G2.com.

It helps me to read, write and manipulate the vector and raster data. It supports all the OCG standard GIS files. Review collected by and hosted on G2.com.

It's a bit challenging to learn, especially in the initial phase. But once we get its concept, it is worth remembering. Review collected by and hosted on G2.com.

GDAL is a time-saver, and I use it quite often in my research work. To perform some of my tasks I prefer GDAL for Raster data processing: Raster Algebra, Building Raster vrt layers. The best and my favourite is to extract subdatasets using -sds command which I use to extract MODIS data products and it's simple and quite fast. Review collected by and hosted on G2.com.

A great combination to work in QGIS and OSGEO shell. As I am exploring it, I haven't found any notable which I dislike Review collected by and hosted on G2.com.

It is the Swiss Army knife for all GeoSpiatal user.

It has all required capabilities for conversion of formats.

It has capability to read most of the know data formats.

It also bundle with GUI OSGEO4w and QGIS which allows more flexibility.

It has extensibility and expansion capabilities as a developer using in projects with support to GEOS(JTS) and now docker support is also available. Review collected by and hosted on G2.com.

All extensions of GDAL don't come prebuilt.

Some of the extension are commercial libraries, which bring complexity for license.

It has some learning curve as new person will not understand all capabilities on first go.

Being command line on core might scary some people.

It has no native GUI. Review collected by and hosted on G2.com.

GDAL's raster image processing libraries helped me to develop satellite analytics tools. especially Its raster cropping, raster value extraction, and mosaicing packages available in python language are very helpful. Review collected by and hosted on G2.com.

I used to get dependencies for GDAL while installing. Which comes in different versions for new python versions like 3.8 and 3.9. Hence many times I received errors while installing and failed to install and had to look at some other raw implementation for the tasks. Review collected by and hosted on G2.com.

The inbuilt function are the best for calculating metrics. The mutiple projections and raster support. Review collected by and hosted on G2.com.

May be little complex structure, it can be more easy module built Review collected by and hosted on G2.com.