Landslide Risk Analysis with Remote Sensing and GIS/AHP

Name: Landslide Risk Analysis with Remote Sensing and GIS/AHP
Rating: 4.6 (71 reviews)

Learn how to make Landslide Risk Analysis for any of the area in this world

Created byİbrahim Caner BOZKURT

Last updated 7/2024

English

English [Auto],

What you'll learn

AHP Method
Risk Analysis with ArcGIS
Weighted Overlay Analysis
Calculating Risk Areas

Course content

6 sections • 35 lectures • 4h 38m total length

Road Map of Project3:54

Creating Raw Elevation Map/ Part 18:01
Creating Raw Elevation Map/ Part216:02
Creating Raw Slope Map5:59
Creating Raw Aspect Map4:35
Creating Curvature Map2:41
Note: End of the video, we need to divide 3 classes.
Negative classes show to the concave are (so put it as concave class)
0 value shows the flat areas (put it flat class there)
Positive values show the convex area.(Please convex name there)
Creating Rainfall Map23:37
Create a precipitation map for landslide risk analysis by processing NetCDF rainfall data, converting raster to points, and interpolating to generate a rainfall map for the project area.
Relative Relief Map4:23
Creating LULC Map16:51
Creating Stream Distance Map24:25
Creating Road Distance Map18:55
Create a road distance map for landslide risk by buffering primary, secondary, and tertiary roads in a study area with ring buffers at 200, 400, 600, 800, and 1000 meters.
NDVI Analyse Map12:57
Learn to compute ndvi from Landsat 8 bands 5 and 4, create a vegetation health map, classify into four categories, and export a ready-to-share ndvi map.

Conversion 1 (Raster to Vector)22:10
Preparing SRTM to Analyse (Assigning Risk Values)1:32
Preparing Slope to Analyse (Assigning Risk Values)1:48
Learn to assign slope-based risk values by mapping a slope raster into classes and grid codes, showing how steeper slopes increase landslide risk, then editing and saving the risk attributes.
Preparing Aspect to Analyse (Assigning Risk Values)4:56
Preparing Curvature to Analyse (Assigning Risk Values)2:15
Preparing NDVI to Analyse (Assigning Risk Values)2:20
Preparing Rainfall to Analyse (Assigning Risk Values)1:43
Preparing LULC to Analyse (Assigning Risk Values)3:39
Preparing Relative Relief to Analyse (Assigning Risk Values)1:35
Assign relative risk values by inspecting a three-class attribute table, note the inverse relationship between relative values and landslide risk, and save the risk as a relative risk layer.
Preparing Distance From Roads to Analyse (Assigning Risk Values)6:58
Prepare road distance data in a GIS workflow by creating risk value fields for road and root distance vectors, then assign and visualize landslide risk classes using symbology.
Preparing Stream Distance to Analyse (Assigning Risk Values)5:08
Assign risk values to stream distance vector data to model landslide risk, noting that risk decreases with distance and closer streams receive higher scores.
Conversion 2 (Vector to Raster)11:50

Analytic Hierarchy Factor with excel sheet13:56
Apply an excel-based analytic hierarchy process to create a pairwise matrix for landslide risk factors. Assign weights to srtm, slope, curvature, rainfall, aspect, and proximity to streams and roads.
Weighted Overlay Analysis and Printing15:13
Perform weighted overlay analysis in ArcGIS using raster criteria and HP-derived influence values to produce a landslide risk map, classify risk levels, and export the map.
Calculating Risk and Subclasses Areas2:04

Requirements

ArcGIS Desktop
Main GIS Education could be advantage (Not mandatory/Im telling everything)

Description

Hello,

The weights and effects of 10 different layers were calculated for the landslide risk analysis with the AHP multiple decision making method. The use of Geographic Information Systems (GIS) in risk analysis studies is increasing day by day.

Geographic Information Systems are used to collect, process and analyze existing data in order to identify potential risk areas. In this study, landslide susceptibility areas of the city of Pithoragarh were determined by GIS techniques.

In the modeling phase, the Weighted Overlay Analysis method was applied and digital maps such as elevation, slope, aspect, curvature shape, precipitation, NDVI Analysis, Land Use, Relative Relief, distance to stream, distance to highway maps were used.

All these maps were superimposed by processing the degrees of gravity, and as a result, the (risky) areas in the region that would be affected by the landslide were obtained.

You will learn from where and how the data to be used in the analysis is downloaded, what geographical processes it goes through and how it is prepared for analysis. Raster and vector data how to be prepared one by one, projection conversion operations, adding fields and the shortcuts that will speed up your process when converting from raster to vector and from vector to raster will be especially useful for you. Based on this study, it has been prepared as a resource for you to do a similar study about any part of the world. By sharing the data I used throughout the study with you, I allow you to practice.

Who this course is for:

Surveying Engineers
Planners
Geological Engineers
Hydrology Engineers
Forestry
Land Managers
Students who related with GIS

Landslide Risk Analysis with Remote Sensing and GIS/AHP

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 4min

Downloading Free DATAS7 lectures • 29min

Preparing Data Analysis11 lectures • 2hr 18min

Reclassiffication (For Rasters)1 lecture • 11min

Conversion and assigning risk values for subclasses12 lectures • 1hr 6min

Analytic Hierarchy Method /Finding Major Risk Values3 lectures • 31min

Requirements

Description

Who this course is for: