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via Udemy |
Go to Course: https://www.udemy.com/course/susceptibility-auto-mapping-tools-for-trainingtesting-data/
Welcome to my recent developed tools, that will help you to learn how to build apply sophisticated steeps using easy built in tools.Along this course, I (Omar F. Althuwaynee, PhD in GIS and Geomatics engineering) will help you to:To introduce into powerful function of processing tool boxes of QGIS Install free processing tools inside QGIS To understand the procedure of extraction of Grid units (GU) and morphological Slope units (SU)To produce training and testing data AUTOMATICALLY, to be used later as input for data mining models like logistic regression or ANN and more. in easy stepsTo easily run procedure with Less than 5 steps for each type of mapping techniques (GU and SU)."QGIS as open source has very simple interface and FREE of charge available, therefore it is the great and powerful tool especially in third world based universities and not funded students." At the the end of this course, you will be easily and efficiently able to use automatic process to build training and testing data for preparing landslide susceptibility mapping, using modeler of QGIS open source FREE software analysis capability.***** February 2022 UPDATE!! *******We have updated the "Model tools" named LaGriSU (Landslide-Grid-and-Slope-Units-QGIS_ToolPack), the current version: Better performance and less time in processingit works on QGIS versions 3.10, 3.12, 3.14 (64 bit & 32 bit) tested on both Windows and LinuxMore robust hypothesis regarding to define landslide-free area (zones): I added 2 techniques 1) Buffer zones, and 2) Slope value thresholdBoth inventory of point and polygon features can be usedComprehensive plots: Box plot to show the summary of different values statistics within landslides locationsComprehensive summary reports: Summary of values statistics within landslides locations***** March 2023 UPDATE!! ******* on GitHubStability issues when using large areasErrors in geometries and dissolveSlope units: binary sampling (1,0) count of training and testing is more closer in term of 1:1 ratio Slope units: small polygons (pixel shapes) were removedUsing Github link(search for /Althuwaynee/LaGriSU_Landslide-Grid-and-Slope-Units-QGIS_ToolPack) Keywords: QGIS, GIS, automatic, tools, modeler, mapping, susceptibility