دانشگاه آزاد اسلامی واحد تهران جنوب

صفحه اصلی / دومین کنفرانس ملی فناوری های نوین در انرژی و مواد

Fractal-Wavelet Classifier as a QGIS Plugin and Python program for Geochemical anomalies

نویسندگان :

M. Mahdi Pourgholam¹ Peyman Afzal² Ahmad Adib³ Kambiz Rahbar⁴ Mehran Gholinejad⁵

1- دانشگاه آزاد واحد تهران جنوب 2- دانشگاه آزاد واحد تهران جنوب 3- دانشگاه آزاد واحد تهران جنوب 4- دانشگاه آزاد واحد تهران جنوب 5- دانشگاه آزاد واحد تهران جنوب

کلمات کلیدی :

Systematic exploration،Fractal wavelet classifier،QGIS Plugin،Python،Stream sediment sample،Catchment basin،Geochemical anomalies،Thresholds،Integration

چکیده :

In the systematic exploration process for integrating the data layers, Python and Python-GIS programming are valuable environments for creating and developing automatic algorithms in calculations, analysis, preprocessing, and processing exploration layers. In this study, a fractal wavelet classifier was made as a unique program in Python and then used as a Plugin for the QGIS Plugin. The program uses geochemical Stream sediment samples in the Tarom metallogenic zone, NW Iran, as input values to target REE minerals anomalies in the Iron apatite mineralization type. Then, preprocess and process the Geochemical Data layer in the GIS environment to classify the anomal catchment basin populations from the background. Also, the program draws the fractal charts, calculates the fraction points, and stores them in a proper path in picture format and Excel. In fractal graphs, the fraction points are optional to select the best suitable values and could be modified the threshold values in final classification and layer integration.