CHRS Data Portal
Global satellite precipitation data archive from UC Irvine's CHRS. Access PERSIANN system data (1983-present) with visualization and download tools for spatiotemporal precipitation statistics.
Tools & Code & Foundational Data
A curated collection of open-source tools, code libraries, and foundational datasets for landslide research to promote academic exchange and collaboration.
PyLandslide
A Python tool for landslide susceptibility mapping and uncertainty analysis.
LHASA Model
Landslide Hazard Assessment for Situational Awareness (LHASA) Model - A NASA-developed system for near real-time landslide hazard assessment.
QGIS-FORM
A QGIS framework for physically-based probabilistic modelling of landslide susceptibility.
Lisem (Lisem Integrated Spatial Earth Modeller)
Free open-source geospatial modeling tool for hydro-meteorological surface hazards. Features scripting environment, data viewer, and Python bindings for automation and integration.
LiCSBAS2
LiCSBAS is an open-source package in Python and bash to carry out InSAR time series analysis using LiCSAR products (i.e., unwrapped interferograms and coherence) which are freely available on the COMET-LiCS web portal. LiCSBAS2 is the successor of LiCSBAS. Users can easily derive the time series and velocity of the displacement if sufficient LiCSAR products are available in the area of interest. LiCSBAS also contains visualization tools to interactively display the time series of displacement to help investigation and interpretation of the results.
SALaD (Semi-Automatic Landslide Detection)
Landslide mapping system from NASA. Uses object-based image analysis (OBIA) and a Random Forest classifier on optical imagery and a digital elevation model (DEM). Requires training polygons and runs in a Singularity container on Linux.
TerraTrack
TerraTrack is an open-source, cloud-based workflow for detecting and monitoring slow-moving landslides using Sentinel-2 imagery and optical feature tracking. For further details, please consult the paper "A Workflow to Identify and Monitor Slow-Moving Landslides through Spaceborne Optical Feature Tracking" by Nava et al (2025).
OBIA + Random Forest Landslide Detector
Scripts performing k-means segmentation and merging to extract candidate objects from optical imagery, followed by Random Forest classification. Built on Google Earth Engine and Python libraries; replicates a 2019 MSc thesis. Associated publication: Thesis: Landslide Detection using Random Forest Classifier (TU Delft, 2019)
Sentinel-2 Rapid Mapping Script
Python/GEE script for rapid landslide mapping using Sentinel-2. Calculates the Barren Soil Index (BSI), NDWI, and NDVI to highlight barren soil, water, and vegetation, then classifies landslides based on thresholds.
Attention U-Net on SAR Data
Code and sample data enabling training of an Attention U-Net segmentation model on Sentinel-1 SAR amplitude data. Based on data from the 2018 Hokkaido event. Associated publication: Rapid Mapping of Landslides on SAR Data by Attention U-Net (Remote Sensing 2022)
HR-GLDD Deep Learning Dataset
Repository with code and sample data for the HR-GLDD dataset. Enables training segmentation models using generalized DL for rapid landslide mapping on high-resolution satellite imagery. Associated publication: HR-GLDD: A globally distributed dataset using generalized DL for rapid landslide mapping on high-resolution satellite imagery (Remote Sensing 2022)
SAR-based Landslide Rapid Detection (SAR-LRA) Tool
This repository presents an all-weather, day-night SAR-based Co-Seismic Landslide Rapid Assessment tool (SAR-LRA). Using deep neural networks, the tool is designed to detect landslides during earthquake-triggered, multi-landslide events.
DRIP/SLIP (NASA)
Deprecated demonstration package from NASA for automated Landsat-based landslide detection in Nepal. Combines Landsat imagery with rainfall monitoring; depends on GDAL, SciPy etc. Associated publication: Automated Satellite-based Landslide Identification Product for Nepal (Journal of Applied Remote Sensing 2018)
BRIGHT: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response
BRIGHT is the first open-access, globally distributed, event-diverse multimodal dataset that integrates very-high-resolution optical and SAR imagery, enabling truly all-weather, day-and-night building damage assessment. It fills a major gap in high-quality benchmarks by providing 0.3–1 m building-level imagery across 14 regions and seven disaster types, supporting the development of robust AI models for real-world disaster response. The dataset also includes standardized baselines from advanced AI models, offering a consistent foundation for research on transferability, domain adaptation, semi-supervised learning, and multimodal change detection.
USGS National Landslide Damages and Losses
A comprehensive database of landslide damages and losses across the United States, providing critical information for risk assessment, mitigation strategies, and understanding the economic and social impacts of landslide hazards.
GlobalBuildingAtlas: an open, global, and complete dataset of building polygons, heights, and LoD1 3D models
The GlobalBuildingAtlas (GBA) is a new, free, public dataset that provides the first complete 3D map of nearly every building on Earth. It contains over 2.75 billion building polygons, exceeding previous databases by more than 1 billion instances. The height data have a spatial resolution of 3 m × 3 m, which is 30× finer than the previous global standard of 90 m. The dataset includes 2.68 billion 3D building models, achieving a height completeness rate of over 97%. Model accuracy is evaluated using Root Mean Square Error (RMSE), ranging from 1.5 to 8.9 m across different continents.
The Global Flood Database
913 flood maps, along with .csv files containing population exposure metrics for each event, are available for viewing and download on Cloud to Street's website and in the Google Earth Engine Catalog. Code to reproduce the MODIS algorithm or the entire database, data for each country, and all underlying data and scripts used to create the figures in the paper are available in the GitHub repository.
OpenLandMap-soildb: global soil information at 30 m spatial resolution for 2000-2022+
OpenLandMap-soildb delivers global, time-resolved soil predictions at 30 m resolution for 2000-2022+ using spatiotemporal machine learning and harmonized legacy soil observations. It maps key soil properties (e.g., SOC content/density, pH, texture, bulk density) and USDA soil subgroup probabilities with per-pixel uncertainty, enabling high-resolution analysis of soil condition and change.
GeoElastix
GeoElastix, a state-of-the-art remote sensing registration library designed to address the complex challenges of georectification for geospatial datasets.
Why it matters:
✅ Flexible & intelligent — Choose from multiple registration methods tailored to your data's unique challenges
✅ Built for Scale: Seamlessly handles nodata areas, automatic tiling for large datasets, batch processing to save you hours of manual work, and generates comprehensive report outputs
✅ Modern open-source design — Clean architecture, thorough documentation, and a community-driven approach.
Open Geospatial Solutions
🌍 Your go-to channel for mastering open-source geospatial analysis, visualization, and cloud computing.
Here, you'll learn how to use powerful tools such as Earth Engine, Geemap, Leafmap, GeoAI, and other Python GIS libraries to analyze and visualize geospatial data at scale. Whether you're a researcher, developer, or GIS professional, this channel provides practical tutorials, demos, and workflows to help you level up your skills in GeoAI, remote sensing, and geospatial programming.
📌 What you'll find here:
✅ Step-by-step Earth Engine tutorials using Python
✅ Hands-on guides for geemap, leafmap, and MapLibre
✅ GeoAI and machine learning workflows for remote sensing
✅ Tips for cloud-native geospatial computing
✅ Best practices for GIS programming and open-source tools
3Blue1Brown
3Blue1Brown is Grant Sanderson's YouTube channel that explains difficult math topics through clear, animation-driven storytelling. It covers linear algebra, calculus, neural networks, and more, with an emphasis on intuition and conceptual understanding.
r.avaflow
GRASS GIS based multiphase mass-flow simulator for cascading landslide, debris-flow, and GLOF scenarios.
D-Claw
USGS-oriented dense granular-fluid flow solver built on Clawpack for debris flows and landslide-tsunami cascades.
SynxFlow
GPU-first dynamic simulator for flood, landslide, and debris-flow processes with modern workflow integration.
LandslideSIM
Julia ecosystem for high-performance MPM simulation targeting extreme large-deformation landslide dynamics.
MaterialPointSolver.jl
Backend-agnostic high-performance MPM solver from the LandslideSIM stack.
MaterialPointGenerator.jl
Structured material-point generation toolkit for preparing MPM input geometry from terrain point data.
MaterialPointVisualizer.jl
Julia visualization companion for exporting MPM simulation outputs for 3D inspection and ParaView workflows.
Anura3D OpenSource
Open-source Anura3D implementation for large deformation and soil-water-structure interaction modeling.
Flow-Py
Lightweight Python runout/intensity estimator for gravitational mass flows using efficient geometric routing.
Mass-Flow
Mass-flow simulation software widely used for debris-flow hazard analysis and scenario planning.
iRIC (Kanako/DFSS)
iRIC ecosystem including Kanako and DFSS solvers for mountain-channel debris-flow and sabo engineering analyses.
Kanako (Debris Flow Simulation)
Kanako is an open debris-flow simulator in the iRIC ecosystem for mountain channel and sabo studies.
DFSS (Open Source Debris Flow Simulator for SABO)
DFSS extends iRIC workflows for debris-flow and sabo-oriented numerical experiments.
openMaelstrom
GPU-native SPH simulation engine supporting advanced incompressible formulations and spatial adaptivity.
SPH-simulation
Educational 2D SPH implementation suitable for understanding weakly compressible formulations.
r.slope.stability
3D slope-stability plugin with ellipsoidal slip-surface sampling, FoS mapping, and optional groundwater assumptions.
r.randomwalk
Constrained random-walk routing model for probabilistic runout and impact indicator mapping.
r.random.walk
GRASS add-on implementation related to random-walk style mass-movement routing analysis.
r.slopeunits
Automated slope-unit delineation and cleaning toolkit for geomorphologically meaningful mapping units.
r.rock.stability
Rock-slope kinematic stability and SMR assessment module for planar, wedge, and toppling failure modes.
massmov / rmassmov
GRASS add-ons for runout and deposition modeling, including modernized C-based and parallelized implementations.
frmod
Frequency-ratio based susceptibility mapping tool with built-in k-fold validation workflow.
LAND-SE
R-based susceptibility ensemble framework combining multiple statistical classifiers with uncertainty estimation.
LAND-SUITE
LAND-SE companion suite for data preparation, variable screening, and statistically based zonation workflows.
LSAT PM
Modular project manager for susceptibility studies, supporting AHP, WoE, classifier runs, and map outputs.
SZ Plugin (QGIS)
QGIS plugin for susceptibility mapping with GAM and machine learning methods on raster or vector units.
FSLAM (QGIS Add-on)
Fast Shallow Landslide Assessment Model plugin focused on rainfall-induced shallow landslide susceptibility.
M-SLIP
MATLAB toolbox for rapid landslide susceptibility mapping with multiple machine learning models.
r.landslide
GRASS GIS add-on for ANN-based landslide susceptibility mapping with environmental predictor layers.
PSLSA
Python system for regional susceptibility assessment and classifier benchmarking in loess and similar terrains.
GeoFIS
Free geospatial analysis platform with fuzzy inference capabilities for susceptibility-oriented workflows.
Landslide ToolBox (CAPRA)
CAPRA landslide toolbox for simplified physically based safety-factor calculations and scenario screening.
LandSlide-Detection-DL
UNet++ style implementation for optical plus near-infrared landslide segmentation.
LandslideNet (MFFENet)
Multi-scale feature fusion framework for landslide detection across mixed satellite and UAV imagery.
Dataset4LandslideNets
Curated benchmark dataset designed for training and evaluating deep learning landslide detection models.
Deepslide
Multi-source optical plus DEM based deep learning workflow for landslide mapping across regions.
landslide-sar-unet
SAR datacube deep learning implementation for rapid post-event landslide mapping in cloudy conditions.
atlas-v2
Global rainfall-induced landslide risk modeling codebase using statistical and ML components.
landslide-detect
Workflow code to evaluate SAR effectiveness for mapping landslide-related surface damage.
LSM_code_GEE
Google Earth Engine landslide susceptibility mapping scripts for large-scale cloud workflows.
LiCSBAS
Open-source InSAR time-series processing package built around LiCSAR products and displacement analysis.
WINSOC (AmritaWNA)
Large-scale wireless sensor network program for landslide monitoring and dynamic warning decisions.
SlideSentinel
Open hardware and software stack for low-cost slope displacement monitoring with satellite backhaul.
Early-Warning-Landslide-Detection
Prototype IoT early-warning code integrating vibration and tilt sensing with local ML inference.
Landslide-monitoring-and-early-warning-system-based-on-deep-learning
Deep learning based embedded pipeline for low-cost landslide monitoring and warning prototypes.
Landslide-susceptibility-mapping (CNN and ML)
Open-source implementation for susceptibility mapping using machine learning and CNN-based methods.
CAS Landslide Dataset
Large-scale multisensor landslide benchmark dataset for deep-learning based detection research.
Global Landslide Susceptibility Map (NASA)
Global susceptibility raster used by LHASA workflows as a baseline conditioning layer.
GEE Haines Landslide Workflow
Practical Medium walkthrough for event-focused landslide mapping in Google Earth Engine.
Sentinel-1 SAR GEE Tutorial
Video tutorial for Sentinel-1 SAR based landslide mapping and thresholding workflows in Earth Engine.
Sentinel-2 GEE Tutorial
Step-by-step Sentinel-2 based landslide detection tutorial in the Earth Engine code editor.
geemap Tutorials
Official geemap tutorial library for notebook-based Earth Engine workflows and mapping.
Best GIS Tutorials - Download Global Landslide Inventory
Introductory tutorial focused on downloading and organizing global landslide inventory inputs.
Best GIS Tutorials - Prepare Global Landslide Inventory Map
Companion practical tutorial for preparing cleaned landslide inventory maps in common GIS tools.
Google Colab ML LSM Notebook Environment
Colab-centered workflow pattern for multicollinearity checks and machine-learning susceptibility mapping.
Sentinel-1 SAR Colab Notebook
Example notebook-style workflow for SAR-based landslide analysis using cloud notebook tooling.
EGU 2021 LGeo Workshops
Open workshop materials for spatiotemporal climate and satellite image processing in Python.
EGU25 GemPy Workshop
Workshop repository with reproducible material for geoscience modeling workflows in Python.
Landslide Prevention and Innovation Challenge Notebook
Public competition notebook demonstrating model experimentation for landslide-focused workflows.
Kaggle Notebooks Index (Landslide Track)
Indexed notebook links and references useful for reproducing landslide detection competition pipelines.
Final Notebook Landslide Detection
End-to-end notebook example for landslide detection experiments and evaluation on open data.
Awesome Open Geoscience
Curated list of open geoscience tools, data resources, and learning references.
PyLandslide Documentation Tutorials
Official tutorials covering input preparation, weight range analysis, sensitivity, and map generation.
Copernicus DEM GLO-30
Global 30 m Copernicus digital elevation model derived from TanDEM-X and distributed through multiple open platforms.
SRTM V3 / V4.1
Shuttle Radar Topography Mission elevation baseline used for global landslide terrain derivatives and long-running regional workflows.
ASTER GDEM V3
ASTER Global DEM Version 3 from LP DAAC, commonly used as an alternative global terrain source in susceptibility and hazard studies.
GLiM v1.0 (Global Lithological Map)
Global lithological map database used to encode rock-type controls on slope stability and material properties at planetary scale.
GEM Global Active Faults Database
Global active-fault compilation for tectonic conditioning and distance-to-fault predictors in geohazard assessment.
USGS Global Vs30 Mosaic
Global near-surface shear-wave velocity mosaic (Vs30) for geotechnical and site-condition context in hazard modeling.
GPM IMERG v07
NASA IMERG multi-satellite precipitation product with 30-minute temporal resolution for rainfall-triggered landslide analysis.
PERSIANN (PDIR-Now and CDR)
CHRS PERSIANN precipitation family including near-real-time PDIR-Now and climate-scale CDR products for triggering analysis.
SMAP L4 Soil Moisture
NASA SMAP soil-moisture products and companion open notebooks for antecedent wetness and hydrologic state characterization.
Copernicus Global Land Service Soil Moisture (SSM/SWI)
Copernicus operational soil-moisture suite providing surface soil moisture and Soil Water Index layers for hydrogeologic monitoring.
ANSS ComCat (USGS Earthquake Catalog)
USGS authoritative earthquake catalog used to derive seismic triggering indicators and event-based landslide context.
ESA WorldCover (10 m)
Global 10 m land-cover map from ESA, widely used for environmental conditioning factors in landslide susceptibility studies.
Dynamic World (10 m Near Real-Time LULC)
Near-real-time 10 m global land-cover predictions for rapidly updated surface-condition context.
GLC_FCS30D / GlobeLand30 (1985-2022)
Long-term 30 m global land-cover dynamics product for historical change analysis in susceptibility and risk workflows.
GLC_FCS10 (Global 10 m Land-Cover Dataset)
Global 10 m land-cover dataset with a fine classification system built from Sentinel-1 and Sentinel-2 time-series data in Google Earth Engine.
HLS-VI (Harmonized Landsat Sentinel-2 Vegetation Indices)
Harmonized Landsat Sentinel-2 vegetation index products (including NDVI/EVI/NBR family) for high-frequency vegetation condition tracking.
GRIP Global Roads Inventory Project
Harmonized global road-network dataset useful for exposure, accessibility, and anthropogenic conditioning analysis.
NASA Global Landslide Catalog (GLC)
Event-level global landslide inventory used for benchmarking and hazard model validation, especially rainfall-triggered landslides.
SHALSTAB / r.shalstab
Classic physically based shallow-landslide model coupling infinite-slope stability with topography-controlled steady-state hydrology; includes GRASS GIS implementation.
SINMAP
Stability Index Mapping model using steady-state hydrology plus parameter-range uncertainty to produce probability-oriented slope-stability zoning.
TRIGRS
USGS transient rainfall infiltration and grid-based slope-stability model for rainfall-triggered shallow landslide forecasting.
GEOtop-FS
Physically based hydrologic-geotechnical framework coupling GEOtop water-energy processes with slope-failure assessment for shallow landslides and debris-flow initiation.
HIRESSS
High-resolution physically based slope-stability simulator designed for parallel and HPC environments with probabilistic uncertainty treatment.
CHASM
Combined Hydrology And Slope Stability Model for transient infiltration and slope-stability assessment, with web-based early-warning deployment options.
Scoops3D
USGS 3D slope-stability software that searches large numbers of rotational failure surfaces across digital landscapes using 3D limit equilibrium.
3DTS (Three-Dimensional Translational Shallow Model)
Research-stage 3D translational shallow-landslide model focusing on DEM-cell side resistance and improved treatment of discretization effects.
EDDA 2.0
Integrated physically based simulator for debris-flow initiation and runout with dual triggering mechanisms and entrainment-deposition dynamics.
LS-RAPID
Integrated rapid-landslide model for earthquake and rainfall triggering, progressive failure, and long-runout motion analysis.
ALICE (Assessment of Landslides Induced by Climatic Events)
Physical assessment framework designed to integrate shallow and deep landslide mechanisms within a unified susceptibility and hazard workflow.
Landlab (Landslide Component)
Python-based Earth-surface modeling framework with a landslide component for physically based probability analysis and multi-process coupling experiments.
LISA (Level I Stability Analysis)
Legacy Level I Stability Analysis framework that introduced probabilistic slope-stability screening concepts for large-area planning applications.
Oasis Loss Modelling Framework (Oasis LMF)
Open catastrophe risk framework with standardized exposure pipelines for multi-hazard loss workflows.
Open Exposure Data (OED) Standard
Industry-standard open schema for exposure records used to exchange asset, location, occupancy, and financial terms across risk models.
OpenQuake Exposure Models
OpenQuake exposure-model specification and ingestion workflows for structured asset-level risk calculations.
GEM Global Exposure Model (GED/GED4ALL)
GEM exposure database initiative covering asset classes and taxonomy structures for multi-hazard global risk analysis.
CLIMADA Exposure Workflows
Open climate-risk framework with exposure construction and adaptation-oriented impact assessment workflows.
InaSAFE Exposure Scenarios
Open QGIS-based scenario workflow to intersect hazards with exposure layers and estimate affected population and assets.
RiskChanges Exposure Dynamics
Open risk decision-support framework for tracking and evaluating changes in exposure and losses across time and scenarios.
METIS Multi-Sector Exposure
Open framework for harmonizing multi-sector data to evaluate cross-sector exposure and cascading impacts.
Risk-Mapper (IWMI)
IWMI flood-risk mapping workflow integrating hazard frequency with socioeconomic exposure layers.
Hazus NHRAP Open Repositories
Open repositories from FEMA NHRAP supporting exposure and loss-processing workflows aligned with Hazus methods.
GHSL R2023A/R2025A
Copernicus GHSL spatiotemporal settlement products providing built-up surface, volume, and population-linked exposure layers.
Microsoft Global ML Building Footprints
Global AI-derived building footprint polygons with broad geographic coverage for asset exposure baselining.
Google Open Buildings Temporal
Temporal building-exposure dataset from Google Research with building presence and change metrics for repeated monitoring.
3D-GloBFP
Global three-dimensional building footprint product with estimated building heights for volumetric exposure analyses.
OpenBuildingMap
OSM-driven building exposure project focusing on harmonized footprints and semantic enrichment for risk modeling pipelines.
WorldPop Population Data
Open gridded population products with demographic variants used for high-resolution exposure and humanitarian planning.
HRSL (High Resolution Settlement Layer)
Settlement-informed high-resolution population exposure layers derived from building detection and census redistribution.
LandScan Global Population
Global ambient population distribution product representing diurnal exposure patterns for emergency and risk analyses.
GPW v4.11 (CIESIN/NASA SEDAC)
Gridded Population of the World version 4.11, providing globally consistent census-based population exposure surfaces.
The Power of Contribution
Have you developed an excellent landslide research tool? Share it with the community to help drive collective progress in the field.
Submit New Tool