LANDSLIDES AND LAND SUBSIDENCE
WHY DOES LANDSLIDES AND LAND SUBSIDENCE
MATTER?
Landslides and land subsidence are among ground movement hazards that can have devastating effects on infrastructure, human lives, environment and sustainability of resources. Landslides are a natural hazard that include the movement of rock, soil, or debris down a slope. They can occur in various forms, such as rockfall, debris flows, mudslides, or avalanches, resulting in thousands of fatalities worldwide each year. Land subsidence, referring to the gradual sinking of the Earth's surface, occurs when the support beneath the surface decreases or is removed, leading to the collapse of overlying layers and soil compaction. It can be caused by varied reasons including withdrawal of groundwater, oil, gas and geothermal fluids, mining activities, tunneling, consolidation of certain types of soil, development of sinkholes in karstic environment or certain tectonic processes.
WHY A NEXUS APPROACH?
Landslides and subsidence are complex processes influenced by multiple interrelated factors including geological, geomorphological, hydrological, and climatic factors, as well as anthropogenic activities and land use practices. For example, heavy rainfall or snowmelt particularly when certain types of geological materials are present , can increase the likelihood of landslides. Human activities such urbanization and unregulated groundwater overexploitation can exacerbate risk of land subsidence. The nexus approach examines the relationship and dependencies between these interrelated factors in order to derive a comprehensive understanding of susceptibility to ground movement hazards. This is crucial for mitigation strategies to reduce the impacts of landslides and ground subsidence on communities and the environment, developing a proper early warning systems and optimized resource management.
AID TOOLS
The links provided below offer access to crucial parameters and datasets that influence Landslides and land subsidence. Although this list is not exhaustive, it provides valuable tools and resources for conducting Landslides and land subsidence studies and analysis. Depending on data availability and resources, additional parameters can be incorporated. Here are some of the tools and resources:
Inventories and Data Resources
European Landslide Susceptibility Map (ELSUS V2)
The European Landslide Susceptibility Map (ELSUS V2) is a tool that highlights landslide susceptibility across Europe, offering critical data for risk assessment and planning. By providing layers of susceptibility data, ELSUS V2 helps identify high-risk areas, enabling improved management and mitigation of landslide hazards.
Global Landslide Hazard Distribution (GDLND)
The Global Landslide Hazard Distribution (GDLND) is a worldwide assessment of landslide susceptibility based on factors such as slope, lithology, soil moisture, precipitation, seismicity, and vegetation cover, utilizing a range of data sources to assess and display landslide risk.
U.S. Landslide Inventory (USGS)
The U.S. Landslide Inventory is an extensive database of landslide occurrences in the United States, offering a comprehensive national overview. It provides an integrated database of landslides with a selection of uniform attributes, and includes links to the original digital inventory files whenever available. Given the wide range of landslide information sources in this compilation, the database also includes an attribute to assess the relative confidence in the characterization of the location and extent of each landslide.
Atlas of Landslide (NRSC, India)
The Atlas of Landslides, developed by the National Remote Sensing Centre (NRSC) of India, is a resource that maps and documents landslide-prone areas across the country. It provides detailed information on the spatial distribution of landslides, integrating data from satellite imagery, geological surveys, and field studies. This atlas is a tool for risk assessment, disaster management, and land-use planning in India, helping to identify vulnerable regions and guide mitigation efforts.
NASA's Global Landslide Catalog
The Global Landslide Catalog (GLC) was developed with the goal of identifying rainfall-triggered landslide events around the world, regardless of size, impact, or location. The GLC considers all types of mass movements triggered by rainfall, which have been reported in the media, disaster databases, scientific reports, or other sources.
Global Landslide Hazard Map (World Bank)
The World Bank's Global Landslide Hazard Map provides an extensive database of landslide susceptibilities around the world, aiding in risk assessment and mitigation planning on a global scale. It maps regions based on the likelihood and potential severity of landslides, which are influenced by various factors including topography, geology, land use, and precipitation patterns.
Italian Landslide Inventory (IdroGEO)
IdroGEO is the Italian web platform dedicated to documenting and monitoring landslides and floods across Italy. This platform provides comprehensive access to the Italian Landslide Inventory, offering detailed information on the location, type, causes, and impacts of landslides, as well as flood events. The platform is designed to support disaster risk management, research, and public awareness by making this critical data easily accessible and regularly updated.
Swiss Flood and Landslide Damage Database (WSL)
The Swiss Flood and Landslide Damage Database, managed by the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), records over 27,000 damage entries from naturally triggered floods, debris flows, landslides, and rockfalls since 1972, excluding avalanches and earthquakes. It offers detailed analyses of the location, extent, causes, and distribution of these events and is accessible to official institutions for hazard assessment.
Japanese Landslide Inventory (J.SHIS)
The Japanese Landslide Inventory (J.SHIS) is a comprehensive database managed by the Japan Seismic Hazard Information Station (J.SHIS). It documents landslide occurrences across Japan, providing detailed information on their locations, types, causes, and impacts.
Global Land Subsidence Mapping
Global Land Subsidence Mapping provides a high-resolution, global dataset on land subsidence, created using a combination of remote sensing data, advanced geospatial techniques, and machine learning models. The dataset specifically addresses groundwater overdraft, which can lead to land subsidence and irreversible loss of groundwater storage. Unlike existing approaches, this model offers fine-scale global estimates (approximately 2 km resolution), making it relevant for localized studies.
Land Subsidence Database of Iran
The dataset, "Uncovering the Impacts of Depleting Aquifers: A Remote Sensing Analysis of Land Subsidence in Iran," offers detailed insights into land subsidence across Iran using Sentinel-1 InSAR observations. It is intended for researchers, policymakers, and practitioners interested in land subsidence, groundwater depletion, and related fields.
Subsidence in Coastal Cities
Subsidence in coastal cities refers to the gradual sinking of land in urban coastal areas, often caused by factors like excessive groundwater extraction, soil compaction, and natural processes. The InSAR observations conducted between 2014 and 2021 provide a global view of this issue, using satellite radar data to measure land displacement in high precision.
Software and Analysis Tools
SEEQUENT
SEEQUENT is a comprehensive software suite for slope stability and soil analysis. It offers advanced tools for evaluating and modeling the stability of slopes and soil conditions, including analyses for landslides, embankments, and retaining walls. The software integrates various analytical methods and simulations, aiding engineering and geotechnical professionals in designing safe structures, assessing risks, and managing soil stability.
SNAP (Sentinel Application Platform)
SNAP (Sentinel Application Platform) is a common architecture developed by the European Space Agency (ESA) as part of the Sentinel Toolboxes within the ESA's Sentinel Toolboxes and Exploitation Platform (STEP). It supports the exploitation of high-resolution satellite data, accommodating both radar and optical data from Sentinel satellites.
PyLandslide
PyLandslide is a Python tool designed for spatial mapping of landslide susceptibility and conducting uncertainty analysis. It employs "qualitative map combination" to integrate multiple contributing factors using weighted inputs, with machine learning used to determine these weights and their uncertainties. The tool supports sensitivity analysis by varying weight ranges and spatially comparing different weight outcomes.
GMTSAR (Generic Mapping Tools Synthetic Aperture Radar)
GMTSAR (Generic Mapping Tools Synthetic Aperture Radar) is an open-source software system for processing Synthetic Aperture Radar (SAR) data using Interferometric SAR (InSAR) techniques. Designed for users familiar with Generic Mapping Tools (GMT), GMTSAR converts satellite SAR data into a common format, processes it to create interferograms, and utilizes GMT for postprocessing and visualization. It handles data from various satellites, including Sentinel-1 and TerraSAR-X, and produces products like phase maps and displacement images.
ISCE (InSAR Scientific Computing Environment)
ISCE (InSAR Scientific Computing Environment) is a flexible, open-source software framework designed for automated processing of Synthetic Aperture Radar (SAR) data, with a focus on InSAR techniques. It is commonly used for applications such as earthquake monitoring and surface deformation studies. ISCE is developed to handle various SAR data formats and integrates tools for detailed geophysical analysis. The software is hosted on GitHub under the repository Isce-Framework/Isce2, which provides version 2 of the framework and supports contributions from the community.
Mintpy (Miami INsar Time-series software in Python)
Mintpy (Miami InSAR Time-series software in Python) is an open-source Python package designed for analyzing Interferometric Synthetic Aperture Radar (InSAR) time series data, widely used in geophysics and geology for studying ground deformation. It processes stacks of coregistered and unwrapped interferograms from various formats such as ISCE, ARIA, and SNAP, generating three-dimensional displacement maps (2D spatial and 1D temporal). Mintpy includes time series analysis routines and additional toolboxes for detailed analysis.
STEP_TRAMM
STEP_TRAMM is a model designed to simulate rainfall-induced landslides globally. It works by modeling the progressive failure of soil columns interconnected through mechanical bonds, simulating how rainfall triggers landslides. The model requires detailed input data, including elevation, vegetation patterns, soil texture, and rainfall information. STEP_TRAMM calculates various outcomes such as soil depth, discharge into river networks, the timing and location of soil slides, and the runout pathways of the displaced soil.
TRIGRS (Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability)
TRIGRS (Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability) is a Fortran program used to model shallow, rainfall-induced landslides. It calculates how transient pore-pressure changes, due to rainfall infiltration, affect slope stability and factor of safety. The model handles variable rainfall inputs and simulates one-dimensional, vertical flow in isotropic, homogeneous materials under both saturated and unsaturated conditions. TRIGRS uses a simple infinite-slope model to assess slope stability on a cell-by-cell basis, incorporating horizontal variability in material properties and rainfall. It integrates with GIS software for input grid preparation and result visualization, making it useful for analyzing regional slope stability and predicting landslide occurrences.
Anura 3D
Anura3D is a software tool that utilizes a dynamic explicit Material Point Method (MPM) formulation to simulate multi-phase materials, including dry, saturated, and unsaturated soils, as well as free surface water. It integrates a fully coupled hydro-mechanical approach to model interactions among soil, water, and gas phases within porous media, treating them as a continuum mixture of solid and pore liquids. Anura3D features a GiD interface for geometry and mesh creation, material parameter definition, boundary condition setting, and calculation parameter specification. Calculations are executed by a stand-alone Anura3D program.
PLAXIS 2D
SUB
POEL
r.avaflow
Interactive Platforms
The European Ground Motion Service (EGMS)
The European Ground Motion Service (EGMS) is a service provided by the European Space Agency (ESA) in collaboration with several European institutions and organizations.
It plays a crucial role in supporting decision-making processes related to geohazard mitigation and land-use planning by providing accurate and up-to-date information on ground motion across Europe. By continuously monitoring and analyzing these ground movements, the service aims to improve the understanding of geohazards and contribute to risk assessment and management.
Federal Institute for Geosciences and Natural Resources (BGR)
The main areas of focus for BGR include geological mapping, monitoring of groundwater resources, assessment of mineral and energy resources, geotechnical investigations, and the study of natural hazards like earthquakes and landslides. The institute carries out comprehensive research and monitoring activities to assess the geological and geophysical conditions in Germany and beyond. It also provides data, information, and expertise to policymakers, industry stakeholders, and the general public.
NASA Landslide Reporter
NASA Landslide Reporter is a crowdsourcing tool designed to collect and report landslide data from around the world. It is a key component of the Cooperative Open Online Landslide Repository (COOLR), which houses a global database of landslide events, including data from NASA’s Global Landslide Catalog. The tool allows users to contribute real-time landslide information, helping to enhance the database and improve understanding of landslide occurrences and trends globally.
Harris Subsidence Map
The Harris Subsidence Map is a tool that visualizes subsidence rates in Harris, Galveston, and surrounding counties in Texas, USA. It details the annual rate of change in ellipsoidal height based on GPS data collected between 2018 and 2022. The map provides period of record plots for each monitoring station, offering insights into how subsidence rates have evolved over time in these regions.
IGME Global Subsidence Information System
The IGME Global Subsidence Information System is a platform that visualizes and provides access to global subsidence data, which is essential for assessing ground stability and associated risks. It compiles and displays information on areas affected by subsidence, enabling better understanding and management of subsidence-related hazards, such as those caused by natural processes or human activities like groundwater extraction.
NASA landslide Viewer
Landslide Viewer is the portal to visualize the data from the Cooperative Open Online Landslide Repository (COOLR). Data visualized includes citizen science landslide reports, Global Landslide Catalog data, and other landslide catalog data. You can customize the map view by selecting different layers with landslide and environmental information. You can also download all landslide data or get the ArcGIS REST API for in-depth analysis from the portal.
Interactive Map of Land Subsidence in Iran
COMET Subsidence Portal
Educational and Capacity Building Resources
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