
Explore grid-based and slope units for landslide mapping in QGIS, compare aspect and slope representations, and evaluate their pros, cons, and integration with watershed and susceptibility analysis.
Explore slope mapping units with a top-down, hydrology-based methodology in QGIS, using watershed basins, threshold contributing areas, and drainage networks to distinguish landslide from non landslide areas.
QGIS versions
3.10, 3.12, 3.14(64 bit & 32 bit)
Learn how to build, edit, and run a QGIS graphical modeler workflow to calculate polygon areas, set up inputs, and generate landslide statistics for a new output layer.
Configure QGIS 3.14 for landslide data import and projection setup, organize data and results, and load LaGriSU tool packs to run grid and slope unit analyses.
Learn to extract slope values for original landslide inventories in QGIS, linking points to grid units and producing a slope roster, box plot, and statistics to assess thresholds.
Extract landslide-free inventory and zones in QGIS using two methods: slope-threshold with a 250 m buffer and polygon buffering, producing landslide-free polygons, zones, and points from the inventory.
Learn to generate training and testing subsets from landslide inventory in QGIS, comparing slope with buffer versus buffer-only approaches for model validation.
Learn to extract slope units and landslide points in QGIS, using dam and channel network intersections, shape index thresholds, and minimum area settings to generate study area slope units.
Apply qgis workflows to extract landslide-free zones and build a landslide inventory by using stop units, grid units, buffers, and threshold-based statistics.
Extract training and testing subsets by randomly sampling 70% and 30% from landslide and dissolved layers, ensuring no overlap and applying geometry fixes for accurate evaluation.
Extract slope values for the original landslide inventory using polygon-based polygons in QGIS, then summarize with statistics and a box plot and set a threshold via mean minus standard deviation.
Identify landslide regions and build a landslide-free inventory for the three regions using a 250-meter buffer from polygon borders, compare option one and two, and derive the mean area.
Identify and select conditioning factors for landslide analysis, including dam, slope, curvature, geology, land cover, and aspect, and apply training and testing to extract landslide grid units in QGIS.
Complete slope unit extraction using a polygon feature, ensuring projection consistency and appropriate shape index; then merge intersecting slope units into a single landslide feature for the study area.
Extract slope values for the landslide inventory in QGIS, using the shape index and area thresholds to define slope units, dissolve neighbors into features, and prepare balanced sample sets.
Learn how to create single-feature landslide groups by joining slope-unit attributes to a landslide inventory in QGIS, and to split data into training and testing subsets with no common features.
Define conditioning factors for landslide analysis in QGIS by selecting variables such as slope, curvature, geology, and land cover, and choose slope unit or grid unit based on data availability.
Use LaGriSU tools in QGIS to extract landslide slope and grid units, apply a buffer-based safe-area around landslides, and prepare training and testing samples with up to 15 conditioning variables.
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 steps
To 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 processing
it works on QGIS versions 3.10, 3.12, 3.14 (64 bit & 32 bit) tested on both Windows and Linux
More robust hypothesis regarding to define landslide-free area (zones): I added 2 techniques | 1) Buffer zones, and 2) Slope value threshold
Both inventory of point and polygon features can be used
Comprehensive plots: Box plot to show the summary of different values statistics within landslides locations
Comprehensive summary reports: Summary of values statistics within landslides locations
***** March 2023 UPDATE !! ******* on GitHub
Stability issues when using large areas
Errors in geometries and dissolve
Slope 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 removed
Using Github link
(search for /Althuwaynee/LaGriSU_Landslide-Grid-and-Slope-Units-QGIS_ToolPack)
Keywords: QGIS, GIS, automatic, tools, modeler, mapping, susceptibility