Extraction of gables from remote sensing sources and GIS application has been the subject of slight research. An accurate gable inventory is required for applications such as GIS database number of shanties town, impervious surfaces mapping and Know the places of the displaced through the use of shanties. A methodology for automatic gables extraction that integrates remote sensing sources and GIS data was proposed, where it was consists of a series of image processing (Conversion of DNs to Top, apply tasseled cap transformation (TCT) Brightness). The extraction process was implemented and tested on gable (including commercial and residential) type. In addition, google earth data from Baghdad city, Iraq was identified for the testing and validation of the results. The automatic extraction process was tested and evaluated on multiple feature segments and proved to be successful. The research identifies, recommendations algorithm extraction scenario and drawbacks of the process.