Landslides

As climate change intensifies rainfall and thawing permafrost triggers landslides, innovative safeguards are emerging. Models now forecast risk globally every 30 minutes, while AI analyzes real-time data from tiltmeters, InSAR satellites, and drone-mounted LiDAR. On unstable slopes, bioengineered biogrout strengthens soil, and smart barriers deploy automatically when sensors detect movement, protecting communities before rocks fall.

Landslides – the sudden or slow downhill movement of rock, soil or debris – are powerful natural events that shape landscapes and threaten communities worldwide. They come in many forms, such as falls, topples, slides, spreads and flows (UNDRR, 2024bUNDRR (2024b). Landslide. United Nations Office for Disaster Risk Reduction (UNDRR). Available at: https://www.preventionweb.net/knowledge-base/hazards/land-slide [accessed March 18 2025].), and range from small rockfalls to large, fluidized debris flows. Landslides are typically triggered by geological and physical factors, including heavy rainfall, snowmelt, water pressure, volcanic eruptions, earthquakes and steep slopes. Rainfall-triggered landslides, which can lead to debris flows, are common. Prolonged rainfall or intense storms can both cause slope failure. Topography plays a key role in landslide risk, with steeper slopes being more prone to failure, though other factors like slope aspect, relief, vegetation type and position on the slope also influence susceptibility. Human activity, such as deforestation, urbanization and wave-driven erosion, can also contribute to landslide occurrence.

Landslides can move rapidly, with debris flows reaching speeds of 60–80 km/h, or slowly at rates of millimeters to centimeters per year

When a landslide occurs there is not much that can be done to remedy the situation for those affected people or infrastructure. Most of the technologies discussed in this section are therefore related to prevention and early warning systems.

Landslides can move rapidly, with debris flows reaching speeds of 60–80 km/h, or slowly at rates of millimeters to centimeters per year (ARSET, 2025aARSET (2025a). ARSET – Fundamentals of Remote Sensing. NASA Applied Remote Sensing Training Program. NASA Applied Remote Sensing Training Program (ARSET). Available at: https://appliedsciences.nasa.gov/get-involved/training/english/arset-fundamentals-remote-sensing.). They can cause injury, death, infrastructure damage, displacement, long-term economic impacts and harm ecosystems. Although landslides cannot be precisely predicted, warning systems that monitor rainfall can alert those living in prone areas (UNDRR, 2024bUNDRR (2024b). Landslide. United Nations Office for Disaster Risk Reduction (UNDRR). Available at: https://www.preventionweb.net/knowledge-base/hazards/land-slide [accessed March 18 2025].). According to the World Health Organization (WHO), landslides are more widespread than any other geological event. During the period 1998–2017, they impacted roughly 4.8 million people and caused 18,000 deaths (WHO, 2024bWHO (2024b). Landslides, World Health Organization (WHO). Available at: https://www.who.int/health-topics/landslides#tab=tab_1). The International Disaster Database (EM-DAT) reports that landslides accounted for 4.9 percent of all disaster events and 1.3 percent of all fatalities between 1990 and 2015, with 54 percent of these events occurring in Asia (Guha-Sapir et al., 2018Guha-Sapir, D., R. Below and P. H. Hoyois (2018). EM-DAT: International Disaster Database. Brussels. Available at: http://www.emdat.be/.).

Climate change is expected to trigger more landslides, particularly in mountainous regions, largely driven by an increase in extreme rainfall. Warming can also lead to permafrost melting and associated landslides in higher mountain ranges (European Climate and Health Observatory and ADAPT, 2025).

Innovative landslide monitoring technologies to detect and analyze landslide activity

Landslide monitoring technologies range from instrumental ground sensors and devices to global positioning systems (GPS), aerial photography, satellite images and LiDAR. Surface and subsurface monitoring technologies work together to provide a comprehensive understanding of both surface and subsurface conditions, which is critical to the evaluation and prevention of landslides (Ebrahim et al., 2024Ebrahim, Kyrillos M. P., Sherif M. M. H. Gomaa, Tarek Zayed and Ghasan Alfalah (2024). Recent phenomenal and investigational subsurface landslide monitoring techniques: a mixed review. Remote Sensing, 16(2), 385.; Neuroject, 2024Neuroject (2024). Ultimate guide to landslide sensors 2024. Available at: https://neuroject.com/landslide-sensors/ [accessed March 20 2025].).

Surface monitoring

Tiltmeters measure changes in slope angle or inclination in order to provide information on ground movement and are usually installed at multiple locations along a slope to detect potential landslide activity. These instruments are sensitive to ground movements at or near the surface, allowing early detection of shifts in slope stability.

Extensometers measure the change in distance (or elongation) between two fixed points on a material or structure, typically over larger distances. In the same way as for tiltmeters, observed changes may indicate movement as a precursor to a landslide event.

Subsurface monitoring

Inclinometers measure the angle of inclination or slope deflection below the ground surface. They are typically installed in boreholes or inclinometer casings to track subsurface movements and evaluate slope stability.

Strain gauges measure the strain or deformation within a structural element, such as a retaining wall, providing data on the mechanical behavior of materials and helping assess slope stability from within the ground or structure.

Piezometers or pore pressure sensors measure groundwater or pore water pressure within soil or rock formations, enabling the monitoring of groundwater levels and the identification of potential slope failure triggers.

Seismic sensors detect the seismic waves and ground vibrations generated by landslides and earthquakes, and play a role in providing early warnings.

Earth pressure cells monitor the pressure within earth-fill dams, embankments or at the interface between a structure and excavation walls. They consist of two welded stainless-steel plates with a vacuum-sealed gap filled with de-aired oil. A pressure pad connected to a transducer forms a closed hydraulic system, generating an electrical signal that can be read remotely. Vibrating wire technology is often used in these systems to measure strain, displacement or pressure. A wire attached to the sensor vibrates under stress, and the frequency change is converted into an electrical signal proportionate to the pressure. This signal is then sent to a readout unit or data logger for monitoring.

Revolutionizing landslide monitoring, modeling and risk mapping with satellites and remote sensing

In addition to ground-based monitoring, satellite-based or other platforms for remote sensing technologies have become crucial for detecting and tracking landslides. These technologies enable large-scale monitoring with minimal environmental disruption.

Global navigation satellite systems (GNSSs) help monitor ground movements and detect landslides. They use a network of satellites orbiting the Earth that send signals to receivers on the ground. A GNSS includes global coverage systems such as GPS (United States), Galileo (European Union), GLONASS (Russian Federation) and BeiDou (China). These technologies enable the precise measurement of ground movement and displacement by tracking changes in the position of receivers.

In addition to ground-based monitoring, satellite-based or other platforms for remote sensing technologies have become crucial for detecting and tracking landslides

Synthetic aperture radar (SAR) is a remote sensing technology that uses radar waves from satellites to capture images of the Earth’s surface, as defined in the chapter on storms and flooding. SAR uses microwave signals to capture high-resolution images of the Earth’s surface, enabling the detailed monitoring of landscapes, weather patterns and disasters, even through cloud cover. In dry conditions it can also reveal shallow subsurface features. SAR captures images of the Earth’s surface before and after a landslide event and tracks changes in surface elevation. If there is a shift in terrain due to a landslide, the phase difference in the SAR images can reveal the quantity of displacement and show the precise area affected. Repeated SAR scans can monitor stability over time. SAR can also help map an area and assess damage.

Interferometric synthetic aperture radar (InSAR) is a more advanced remote sensing technology that uses SAR satellites for monitoring and detecting ground deformation. InSAR enhances SAR by processing multiple SAR images taken at different times in order to detect subtle changes to the Earth’s surface such as land subsidence or movement related to landslides. It has millimeter precision, enabling the early detection of land movement, and the ability to cover large areas. It provides abundant archive data enabling time-series analyses of change (Geostock, 2022Geostock (2022). Interferometric Synthetic Aperture Radar (InSAR) technology. Available at: https://www.geostockgroup.com/en/interferometric-synthetic-aperture-radar-insar-technology/ [accessed March 19 2025].). Remote sensing technologies do not interact with the environment and are often less costly than aerial surveillance or in situ measurements, especially when covering large areas of land.

From space to surface: high-tech tools for landslide tracking

NASA’s landslides team has developed the Landslide Hazard Assessment for Situational Awareness (LHASA) model, which provides timing and location information on potential landslide occurrences every 30 minutes. NASA has also developed the Landslide Susceptibility Map, a tool to identify and map regions at risk, and the Global Landslide Catalog, a global database that tracks and records landslides worldwide by compiling information from satellite data, ground observations and scientific reports to create a detailed record of landslide events. The landslide project is part of NASA’s Global Precipitation Measurement (GPM) mission (explained in the storms and flooding chap) utilizing satellite data and citizen science contributions in order to model and record landslides worldwide.

For decades, optical data has been the primary tool for landslide modeling. Optical satellites, including the Landsat series and Sentinel-2, have enabled large-scale assessments with increasingly higher temporal and spatial resolution analysis. The use of multiple spectral bands also allows for the analysis of higher-contrast data, including NDVI, a combination of spectral bands used to assess and monitor vegetation health and density. However, cloud cover poses a challenge to optical data from satellites (ARSET, 2025aARSET (2025a). ARSET – Fundamentals of Remote Sensing. NASA Applied Remote Sensing Training Program. NASA Applied Remote Sensing Training Program (ARSET). Available at: https://appliedsciences.nasa.gov/get-involved/training/english/arset-fundamentals-remote-sensing.).

Hyperspectral remote sensing – also called imaging spectroscopy – analyzes reflected radiation across many narrow spectral bands, allowing for more advanced analyses of spectral signatures of land and vegetation features, which helps determine bio- and geochemical information about an area (GFZ Helmholtz Centre for Geosciences, 2025GFZ Helmholtz Centre for Geosciences (2025). Hyperspectral remote sensing applications. Available at: https://www.gfz.de/en/section/remote-sensing-and-geoinformatics/topics/hyperspectral-remote-sensing-applications [accessed March 21 2025].).

The terrestrial laser scanner (TLS) is a specific type of LiDAR system designed to be used on the ground. TLS are used to create precise 3D maps of damage, monitor slope stability, plan debris removal and reconstruction, support search and rescue efforts, and analyze the causes and mechanics of a landslide. Whereas LiDAR is used in a variety of settings, including aerial or satellite-based scanning, TLS is typically stationary and placed at various points on the ground to obtain high-resolution scans of smaller, more localized areas such as landslides, steep slopes, damaged infrastructure and collapsed tunnels. TLS works by sending laser pulses that are reflected back from the first solid surface they encounter, such as soil, rock, vegetation or a man-made structure. This means it cannot penetrate the ground, unlike ground-penetrating radar, but can capture detailed surface geometry.

The growing availability, reliability and cost efficiency of remote-controlled drones has made it easier to access real-time aerial images in remote, unsafe or otherwise unreachable locations

Like with other extreme weather events, drones are useful in the aftermath of a landslide. Aerial photographs have long been a useful tool, and the growing availability, reliability and cost efficiency of remote-controlled drones has made it easier to access real-time aerial images in remote, unsafe or otherwise unreachable locations. This has significantly raised the importance of drones for conducting landslide assessments (Alsop and Palastanga, 2023Alsop, Neil and Tom Palastanga (2023). The invaluable use of drone imagery as a tool in landslide assessments. New Zealand Geomechanics News, (105).). They can capture higher resolution imagery that is integrated into hardware and software for processing.

AI and big data: integrating multiple data sources for landslide monitoring

As is the case with flooding, advancements in big data and AI have improved landslide monitoring and prediction systems. The latest technologies use real-time data collection, advanced computation techniques and dynamic risk assessment to predict landslides with greater accuracy, issue early warnings and reduce loss of life and property.

The combination of big data and AI has improved data analysis, occurring alongside the increased use of drones, satellites, remote sensing and IoT sensors, ground sensor networks and meteorological data. Big data can help process this in real time. Additionally, AI algorithms analyze volumes of historical data to identify patterns. Importantly, AI models can dynamically adjust predictions based on feedback concerning changing conditions delivered by ground sensors (Qin et al., 2024Qin, Feng, Chengrong Huang and Zhenjie Lin (2024). Big data and artificial intelligence-driven natural disaster prediction and prevention: Technological advances and prospects. Geographical Research Bulletin, 3, 381–98.).

Prepare for the future or recover from past landslides – soil stabilization

A variety of methods are employed to stabilize slopes and improve soil stability, ranging from traditional engineering techniques to innovative, eco-friendly solutions.

Retaining walls constructed out of concrete, steel or geosynthetic materials are commonly used to stabilize slopes, alongside gravity walls, which rely on their own weight to hold back soil. To enhance soil stability and address issues like erosion and foundation weaknesses, innovative methods such as biogrout, soil nailing and ground improvement techniques are gaining popularity. These techniques offer sustainable, efficient and cost-effective solutions compared to traditional methods.

Biogrout is an eco-friendly material that serves as an alternative to conventional chemical soil stabilization methods. Bacteria, such as Sporosarcina pasteurii, are inserted into the soil in order to produce calcium carbonate (limestone) which fills the soil pores and binds particles together, thereby improving soil stability and strength. Not only does this process strengthen weak soils, it also reduces water seepage in landfill and seals underground water channels. This process can augment the load-bearing capacity of foundations and provide improved structural support.

A variety of methods are employed to stabilize slopes and improve soil stability, ranging from traditional engineering techniques to innovative, eco-friendly solutions

Soil nailing is an engineering technique used to stabilize slopes and excavations by installing closely spaced steel bars in the soil, so as to stabilize either a natural slope or reinforce an over-steepened slope. It involves drilling or launching steel bars to a specified depth. Systems like the GeoStabilization Soil Nail Launcher™ use compressed air to drive nails at high speed for increased efficiency.

In addition, rock bolting involves inserting steel bolts into a rock face for stabilization. Shotcrete is a method of spraying concrete onto an unstable rock or soil surface using compressed air at high velocity to provide a protective layer.

Ground improvement techniques are methods used to compact the soil and increase its density and strength through the use of mechanical vibration (using vibratory rollers or vibrating plates), dynamic compaction (dropping a heavy weight, e.g., a large steel block or hammer, from a significant height onto the soil surface), vibroflotation (using a high-frequency vibrating probe, called a vibroflot, to compact granular soils) or the addition of cementitious materials. These techniques are often used in conjunction with soil stabilization methods like biogrout and soil nailing.

Geosynthetic clay liners (composed of a layer of bentonite (very absorbent) clay sandwiched between two layers of geosynthetic fabrics) can also be used in soil stabilization to prevent water seepage and improve the load-bearing capacity of soil. When applied in conjunction with biogrout or another stabilization method, they can reduce water flow and prevent erosion, thereby contributing to long-term slope stability.

As explained in the coastal erosion chapter, geogrids reinforce soil by adding tensile strength to the soil mass. They are often used either in conjunction with soil nailing or as part of a retaining wall system. Finally, planting deep-rooted plants and grasses can help stabilize soil naturally. Biodegradable erosion control mats protect soil during the establishment of vegetation, preventing erosion until the plants take root.

Dealing with debris and damage

In areas prone to rockfalls, protection nets and barriers can be installed to capture falling rocks before they impact roads or infrastructure. Typically made of high-tensile steel cables or mesh, these rockfall protection nets absorb the impact of falling rocks and safely direct them to the ground.

Debris flow barriers, slurry pumps and other technologies used for landslide debris cleanup are essential for managing and mitigating the aftermath of a landslide. Debris flow barriers block the flow of landslide debris, including mud, rocks and trees, before it can damage infrastructure. They can be passive (in the case of permanent structures) or active (meaning they can be adjusted to handle varying flow volumes) and are constructed from steel, concrete or mesh materials.

Slurry pumps are heavy-duty pumps designed to handle thick, viscous mixtures of water, mud, debris and sediment using a combination of high pressure and specialized impellers to move debris-laden liquids. They remove and transport mud and other loose materials to either safer locations or treatment facilities.

Additionally, excavators, bulldozers, vacuum trucks and hydraulic excavation using waterjets combined with excavation machinery can all be used in debris clean-up efforts. Sediment removal and screening using classifiers, screens and separators are also employed to remove large debris particles.

Innovation examples

Aerial mapping with drones in Tbilisi, Georgia

Source: Pix4D

In 2021, a fissure opened on a hillside near two residential areas in Tbilisi, Georgia, prompting local authorities to assess the potential damage. To safely carry out this operation, the National Environmental Agency of Georgia turned to drones and the PIX4Dmapper. They selected the eBee X fixed-wing drone for its long flight time and battery efficiency (see also https://www.wipo.int/green-technology-book-mitigation/en/agriculture-and-land-use/index.html). Using photogrammetry, the eBee X captured data across various parameters, which were then analyzed with the help of PIX4D’s specialized mapping software. The PIX4Dmapper allowed the team to measure and quantify key features of the landmass, including volume and movement. Over two flights, they collected more than 800 images, creating a digital surface model (DSM) that provided an in-depth analysis of the fissure’s depth, volume, curvature, potential movement and flow accumulation. The fissure measured 14 meters in depth with a displaced volume of half a million cubic meters of land. Thanks to these advanced technologies, stabilization measures were quickly implemented to protect residents and their property (PIX4D, 2022PIX4D (2022). Accurately mapping a landslide to make the right decisions. Available at: https://www.pix4d.com/blog/drone-mapping-landslide/ [accessed March 8 2025].; AgEagle, 2021AgEagle (2021). Landslide mapping: assessing geological hazards using drones. Available at: https://ageagle.com/use-cases/landslide-mapping-assessing-geological-hazards-using-drones/ [accessed March 17 2025].).

Soil nailing and rock bolting stabilize active landslide zones in India

Source: Getty Images/Muhammed Zeynel Ozturk

In Uttarakhand, landslides frequently disrupt roads, particularly during the monsoon season, presenting a major challenge for Char Dham pilgrims. To address this, the Border Roads Organisation (BRO) is employing Australian rock bolt technology to stabilize landslide-prone areas along the Gangotri and Yamunotri highways. This proven technology involves removing loose debris and reinforcing bedrock through soil nailing and rock bolting. Specialized drilling is used to secure fractured rocks by inserting bolts at critical fracture points, enhancing the stability of the formations. The technique has been shown to be 90 percent effective in preventing future landslides. According to BRO officials, using this method has significantly improved the safety of the roads in question for both pilgrims and tourists. After stabilizing the area, excavation tunnels were constructed, and treatments started in two additional landslide zones, with the goal of completing stabilization efforts by spring 2025. This initiative is part of a broader effort to improve road safety and resilience within Uttarakhand’s challenging mountainous landscape (Sethi, 2024Sethi, Narendra (2024). Border Roads Organisation turns to rock-bolt tech to tackle landslips. The New Indian Express, Available at: https://www.newindianexpress.com/nation/2024/Dec/07/border-roads-organisation-turns-to-rock-bolt-tech-to-tackle-landslips.).

A drone in the dark: assessing a collapsed tunnel

Source: Flyability

In 2024, several landslides collapsed a tunnel in Switzerland, cutting off access between villages and a ski resort. Safe entry was impossible, so the local authorities employed Flyability’s Elios 3 indoor drone to assess the collapsed tunnel. The drone collected data via LiDAR, photos and videos, and the point cloud datasets from the LiDAR scan provided a clear view of the damage. It also helped show how the tunnel’s design, specifically a small and unnecessary window, contributed to its vulnerability. Cold air flowing through the window since the tunnel was built in the 1960s had caused a type of freeze–thaw weathering effect (where water freezes and expands, causing cracks and faults over time) inside the tunnel. The surrounding rock had also developed faults due to weathering, traffic vibration and minor seismic events. The Elios 3 drone’s key features – its autonomous stabilization, protective cage, ability to survive colliding with walls, advanced processing, 4 K cameras for clear visualization in low light, thermal cameras to detect structural weaknesses and laser distance measurement – made it essential for investigating the accident. Thanks to these capabilities, the tunnel was reopened within months, demonstrating how drone technology can enhance emergency response and prevent future incidents (Flyability, 2024Flyability (2024). Investigating a collapsed tunnel after a landslide in the Swiss Alps. Available at: https://www.flyability.com/casestudies/collapsed-tunnel-landslide [accessed March 24 2025].).

Proven technology solutions

Slope stabilization: soil nail launcher

Geostabilization International

Source: Getty Images/Juan-Enrique

The Soil Nail Launcher™ was originally developed by the British military and is a compressed air cannon that shoots a 6-meter steel or fiberglass tube at speeds of up to 400 km/h. The high-speed launch creates tensile stresses that prevent the nail from buckling and helps it penetrate the ground efficiently. The shockwave at the tip displaces soil during installation, and the process stops when friction at the nail tip absorbs the cannon’s energy. Unlike traditional methods, this system minimizes wear and preserves the nails’ corrosion protection, leading to higher pullout capacities (the maximum force or resistance a soil nail can withstand before it starts to be pulled out or displaced from the ground). It also increases soil density in the nailed area, unlike open-hole drilling, which can weaken the connection between the soil nail and the surrounding soil.

  • Technological maturity: Proven

  • Contracting type: For sale

  • Technology level: Medium

  • Place of origin: United States

  • Availability: Canada, New Zealand, United States

  • Contact: WIPO GREEN Database

Slope stabilization: 2D-Geo system

GEOIZOL Project

Source: GEOIZOL Project

The 2D-Geo is a high-strength steel net with diamond-shaped meshes designed to stabilize slopes and prevent erosion. It is anchored to the ground using special plates and can be combined with anti-erosion fabric for added protection. Supplied in rolls and connected with steel spirals, the net can cover a large area. It is effective for stabilizing mudslides, rockfalls and landslides, as well as protecting against erosion. Key benefits include stabilizing slopes of up to 70–80 degrees, saving up to 40 percent compared to lower-strength nets. It also offers high tear strength, has minimal environmental impact and encourages grass seed germination by creating a fertile soil layer. Additionally, its large mesh size helps preserve the landscape’s aesthetic appearance.

  • Technological maturity: Proven

  • Contracting type: For sale

  • Technology level: Medium

  • Place of origin: Russian Federation

  • Availability: Russian Federation

  • Contact: WIPO GREEN Database

Landslide monitoring: wireless tilt sensor

Next Industries

Source: Getty Images/Aleksandr Kondratov

The NI310-TIL Wireless LoRa Tilt Sensor is a compact device that measures tilt angles in real time. It has a built-in micro-electromechanical systems (MEMS) accelerometer (to detect changes in movement or tilt by measuring the displacement of a mass suspended on a spring, which is then converted into an electrical signal) for accurate readings and can be set up quickly with customizable angle thresholds. The sensor is waterproof. Users can create up to 36 trigger rules, so the sensor sends an alarm when a certain tilt angle is reached. It is easy to install and can be wirelessly connected to other systems, allowing data to be transmitted to an IoT cloud platform for remote monitoring and analysis.

  • Technological maturity: Proven

  • Contracting type: For sale

  • Technology level: Medium

  • Place of origin: Italy

  • Availability: Worldwide

  • Contact: WIPO GREEN Database

Landslide monitoring: extensometers (clip-on, sensor arm, video and laser)

ZwickRoell

Source: Getty Images/tracielouise

Extensometers are devices used to measure the displacement or strain of an object, and they come in various types. Sensor arm extensometers are mounted directly onto the object using knife edges attached to sensor arms, measuring strain by detecting changes in the arms’ angle or travel distance. They are modular and adaptable. Clip-on extensometers are also directly attached, offering high accuracy, but limited flexibility. Video and laser extensometers are contactless: laser extensometers use a laser beam directed at a target on the object to measure the distance, while video extensometers use high-resolution cameras to track the movement of markers placed on an object, with software analyzing the images to calculate the displacement.

  • Technological maturity: Proven

  • Contracting type: For sale

  • Technology level: Medium

  • Place of origin: Germany

  • Availability: Worldwide

  • Contact: WIPO GREEN Database

Landslide monitoring: earth pressure cell

Sisgeo

Source: Sisgeo

Earth pressure cells measure total pressure in embankments, retaining walls and diaphragm walls. They consist of two stainless steel plates welded together, filled with de-aired oil and connected to a transducer via a tube, forming a closed hydraulic system. Pressure applied to the cell generates an electrical signal that is readable remotely using portable units or data loggers. Vibrating wire technology – often integrated into these systems – measures strain, displacement or pressure by detecting changes in a wire’s vibration frequency under stress. This frequency shift is converted into an electrical signal. Vibrating wire systems – known for their accuracy and environmental resilience – are ideal for long-term geotechnical monitoring, providing reliable data for pressure monitoring applications.

  • Technological maturity: Proven

  • Contracting type: For sale

  • Technology level: Medium

  • Place of origin: Italy

  • Availability: Worldwide

  • Contact: WIPO GREEN Database

Landslide debris clean-up: mobile debris crushers

Metso

Source: Metso

Metso crushers are designed to process debris generated in disasters or demolitions. Available in mobile and stationary configurations, they are effective for medium-hard and hard materials such as concrete, asphalt, and bricks. Mobile units are easy to relocate as work progresses and have been used in disaster recovery operations, where crushers helped manage rubble and produce aggregates for reuse in, for example, road bases, reclaimed asphalt, or erosion control.

  • Technological maturity: Proven

  • Contracting type: For sale

  • Technology level: Medium

  • Place of origin: Finland

  • Availability: Worldwide

  • Contact: WIPO GREEN Database

Landslide debris clean-up: grinding machine

Rotochopper

Source: Getty Images/ezoom

Rotochopper’s electric and diesel grinding machines are designed for the high-efficiency, high-volume processing of organic materials like wood, construction debris and green waste. They use a rotating drum with sharp, heavy-duty knives to shred and grind the material into a consistent, finely processed output. They are designed to feed logs, whole trees and brushy material into the powerfeed. The StopWatch Monitoring System can detect ungrindable objects and vibration in the rotor and stop and reverse the infeed. The electric-powered models provide a quieter, cleaner operation with less maintenance, whereas the diesel-powered models offer greater mobility for on-site operations, especially in rugged areas. Both systems have advanced features, such as adjustable screens to control particle size, and quick-change blades for minimal downtime.

  • Technological maturity: Proven

  • Contracting type: For sale

  • Technology level: High

  • Place of origin: United States

  • Availability: Worldwide

  • Contact: WIPO GREEN Database

Landslide damage assessment: 3D terrestrial laser scanner (TLS)

Leica Geosystems

Source: Leica Geosystems, part of Hexagon

The RTC360 is a high-precision 3D laser scanner with quick scanning capabilities (up to 2 million points per second) that captures detailed 3D topographical data for precise mapping of the displacement of land to assess the extent of damage. It is compact and captures detailed terrain data in rugged areas, such as landslide-prone slopes, with high accuracy. It offers software integration for processing large datasets quickly. It is small and lightweight with a collapsible tripod and therefore can be taken anywhere. It has a one-button operation for simple scanning. The Cyclone FIELD 360 app is also part of the RTC360 solution, enabling the on-site automatic capturing, registration and examination of scan and image data. The app can also connect the 3D data acquired in the field with the laser scanner and data registration back at the office.

  • Technological maturity: Proven

  • Contracting type: For sale

  • Technology level: High

  • Place of origin: Switzerland

  • Availability: Worldwide

  • Contact: WIPO GREEN Database

Frontier technology solutions

Landslide monitoring: vibrating wire multi-level piezometer

Roctest

Source: Smartec / Roctest

A multi-level piezometer is used to measure pore water pressure in the ground at different depths, so as to understand how water pressure changes. A wire inside vibrates at a specific frequency, and when water pressure changes, it affects the wire’s tension, which changes the vibration frequency. This change is then used to measure the pressure. The PW-ML multi-level piezometer features multiple piezometers connected to a single communication cable, which links to a data acquisition system (SENSLOG) or readout device (MB-3TL). The multi-level piezometer is installed using direct grouting with piezometer string and a grout injection tube. Once the grout hardens, the piezometers are sealed off from one another, allowing for accurate measurements of pore water pressure at different depths. This system lets the user customize sensor spacing along the cable, ensuring precise depth control based on site-specific needs. The connections between each piezometer and the main cable are reinforced with epoxy resin.

  • Technological maturity: Frontier

  • Contracting type: For sale

  • Technology level: High

  • Place of origin: Canada / Switzerland

  • Availability: Worldwide

  • Contact: WIPO GREEN Database

Landslide monitoring: land deformation monitoring services using satellite radar data (InSAR)

GeoKinesia

Source: GeoKinesia

GeoKinesia is highly experienced in land deformation monitoring, specializing in SAR, InSAR, and other remote sensing techniques. InSAR (Interferometric Synthetic Aperture Radar) is a remote sensing method that detects land and structural displacement with millimeter precision by comparing satellite images taken at different times. GeoKinesia uses a proprietary Persistent Scatterer Interferometry (PSI) InSAR processing technique with a high level of automation and reliability. It helps estimate key factors like residual topographic error (the remaining discrepancies in height or elevation after accounting for topographic variations in data), which is crucial for accurate modeling. With this technique, GeoKinesia can create deformation velocity maps, cumulative deformation maps, time series, and analyze both horizontal and vertical movement.

  • Technological maturity: Frontier

  • Contracting type: For sale

  • Technology level: High

  • Place of origin: Spain

  • Availability: Worldwide

  • Contact: WIPO GREEN Database

Landslide monitoring: Landslide Hazard Assessment and Model for Situational Awareness (LHASA)

National Aeronautics and Space Administration (NASA)

Source: NASA’s Scientific Visualization Studio

The Landslide Hazard Assessment and Model for Situational Awareness (LHASA) provides near real-time global landslide hazard forecasting to support disaster preparedness and response efforts. LHASA version 2.1 combines multiple data sources including satellite-based estimates of precipitation and soil moisture, terrain, and seismicity to predict where rainfall-triggered landslides are most likely to occur. The system uses XGBoost machine learning algorithms trained on historical landslide data to generate daily nowcasts that are publicly accessible through NASA’s Landslide Viewer. By integrating forecasts from NASA’s Goddard Earth Observing System (GEOS) Forward Processing system and incorporating new landslide inventory data, LHASA helps emergency managers, researchers, and communities worldwide better prepare for and respond to landslide hazard.

  • Technological maturity: Frontier

  • Contracting type: Open source (freely available)

  • Technology level: High

  • Place of origin: United States

  • Availability: Worldwide

  • Contact: WIPO GREEN Database

Landslide monitoring: 2D drone mapping software

Pix4D

Source: Pix4D

Pix4D develops end-to-end mapping solutions that transform images into survey-grade maps, 3D models, and actionable insights, using photogrammetry and machine learning. Developed for emergency response, PIX4Dreact enables the creation of 2D maps from aerial imagery within minutes and without relying on the internet or a cloud for processing. It contributes to rapid and accurate damage assessment and subsequent planning of resources. For landslide monitoring, PIX4Dmatic combines photogrammetry and LiDAR technology to process thousands of images while maintaining survey-grade accuracy, cutting the processing time in half. The result can be viewed online using PIX4Dcloud, enabling collaborative and user-friendly progress tracking and site documentation.

  • Technological maturity: Frontier

  • Contracting type: For sale

  • Technology level: High

  • Place of origin: Switzerland

  • Availability: Worldwide

  • Contact: WIPO GREEN Database

Landslide monitoring: drone capture automation, drone data processing and analysis

Skycatch

Source: Skycatch

High-resolution aerial images captured by drones can be used to create detailed 3D terrain models. This data can be used for pre- and post-event comparison wherein drones can quickly map landslide areas to assess the extent of movement, erosion or deformation. Data can also be gathered from regular drone flights over landslide-prone areas to provide real-time updates on ground movement and help identify early signs of instability. Drones provide quick access to hard-to-reach areas, reducing the need for manual inspections and offering a safer, more efficient way to monitor dangerous or unstable terrain. Skycatch’s drone technology is valuable for monitoring landslides and other geohazards in real-time, providing crucial data for risk mitigation and decision-making. Skycatch works with a variety of drone hardware manufacturers, integrating its software with their drones to ensure seamless capture, data processing and analysis.

  • Technological maturity: Frontier

  • Contracting type: For sale

  • Technology level: High

  • Place of origin: United States

  • Availability: Worldwide

  • Contact: WIPO GREEN Database

Rockfall protection system: monitoring and alert system

Logistics and Supply Chain MultiTech R&D Centre (LSCM)

Source: Getty Images/beekeepx

The Smart Barrier System by LSCM provides real-time monitoring of falling debris. It is a low-cost system that uses IoT sensors to first detect landslide impacts on barriers and then instantly notify authorities for follow-up actions via a web platform and mobile app. An integrated infrared camera transmits images, while an on-site warning message system (WMS) delivers landslide warnings. The system is designed to withstand extreme weather and has been used to enhance the effectiveness of remote barriers built by Hong Kong’s Civil Engineering and Development Department (CEDD).

  • Technological maturity: Frontier

  • Contracting type: For licensing

  • Technology level: High

  • Place of origin: Hong Kong, China

  • Availability: Hong Kong, China

  • Contact: WIPO GREEN Database

Rockfall protection system: monitoring and alert system

Maccaferri

Source: Getty Images/Sebastian_man

HELLOMAC is an advanced alert system designed to monitor rockfall protection systems, especially in remote areas. It detects boulder movement, stress and sagging, sending real-time notifications via mobile app, email and SMS for every section of the rock barrier. Built from durable metal alloys, its compact and robust structure is engineered to withstand harsh conditions and heavy loads. With continuous monitoring capability, it operates without external power sources, relying on batteries that last up to five years, and functions even in areas with no cell coverage.

  • Technological maturity: Frontier

  • Contracting type: For sale

  • Technology level: High

  • Place of origin: Italy

  • Availability: Worldwide

  • Contact: WIPO GREEN Database

Horizon technology solutions

Landslide research: benthic event detector (BED)

Monterey Bay Aquarium Research Institute

Source: Getty Images/Marta Masdeu

Underwater and terrestrial landslides share similar drivers, including gravity, soil composition and slope angle, and both involve the movement of sediments, rocks and debris. Studying underwater landslides helps researchers understand slope stability, which can inform landslide technology and engineering on land. A benthic event occurs near the ocean or lake floor, within the benthic zone, and benthic event detectors (BEDs) are designed to measure near-seafloor conditions in sediment gravity flows. Deployed by the Monterey Bay Aquarium Research Institute (MBARI), BEDs were used in the Coordinated Canyon Experiment to monitor sediment movement across 50 km of Monterey Canyon at depths of 200, 300 and 400 meters. These motion-sensing instruments rest on the seafloor, capturing data within the densest part of the sediment flow. Over 18 months, the BEDs recorded 10 sediment gravity flows, revealing that these flows can mobilize the top three meters of the seafloor. This research provided valuable insights into the dynamics of sediment flows. BED technology is still under development, but close to commercialization.

  • Technological maturity: Horizon

  • Contracting type: Under development

  • Technology level: High

  • Place of origin: United States

  • Availability: N/A

  • Contact: WIPO GREEN Database

Landslide research: meta-model and novel feature selection technique for understanding landslides

Leibniz Centre for Agricultural Landscape Research (ZALF)

Source: Getty Images/Josephine Jullian

Building upon six advanced machine learning models, researchers in Germany and India have developed a meta-model and framework to better understand and forecast landslides using data from West Bengal, India. The researchers converted spatialized features, such as geology, lithology, soil texture, land-use and land cover, into binary vectors, making them compatible with a machine learning algorithm. Then, an ensemble geospatial feature selection technique was employed, finding and including only the most influential causative aspects of landslides. The resulting meta-model stacks the predictions made by the six foundational models. It demonstrated superior accuracy as compared with the individual models due to its integration with the ensemble feature selection process. The findings have implications for both disaster management and land-use planning, and the methodology, which can be extended to other regions, is open access.

Landslide monitoring: AI routing system for weather-affected unpaved roads

HeiGIT

Source: Croix-Rouge Malagasy

The AI Logistic Awareness System (AILAS) is an AI-supported, weather-adaptive routing system designed for regions with unpaved roads. It is intended to assist planners in road development, maintenance, and humanitarian logistics, where uncertain road conditions can cause life-threatening delays. HeiGIT is currently developing and testing AILAS through a pilot project in Madagascar, where dashcams mounted on emergency vehicles capture street-level imagery to train a deep learning model. This imagery is combined with secondary weather and environmental data within a probabilistic framework to evaluate how weather conditions influence road passability. As the system evolves and sufficient imagery becomes available, AILAS will predict passability across the entire unpaved road network, including areas without direct image data. The predictions will be integrated into routing software or a web-based map tool, enabling reliable logistical planning based on both current and anticipated road conditions. HeiGIT is looking to scale the system to other regions and integrate extreme events, such as floodings or landslides.

Landslide monitoring: ground-penetrating radar and hyperlocal landslide nowcasting

Augsense Lab

Source: Getty Images/Halfpoint

Augsense Lab develops quantum and remote sensing technologies for subsurface and atmospheric monitoring related to landslide risk. The company is focused on developing two core systems: a ground-penetrating radar (GPR) and a GNSS-based atmospheric sensing platform. The GPR, an antenna-less radio-frequency receiver, detects low-frequency radio signals by leveraging the quantum properties of Rydberg atoms. It enables subsurface imaging through soil, rock, and debris without a conventional large antenna. Augsense Lab is currently focused on miniaturizing the system, with the aim of mounting it on drones for use in search-and-rescue operations. The company recently signed an iDEX contract with India’s Ministry of Defence to advance its work on next-generation quantum sensors and collaborates with Kerala-based mistEO on sensor miniaturization and AI-driven real-time forecasting. Meanwhile, the N-Sonde platform employs GNSS tomography and radio occultation to generate 3D refractivity profiles for hyper-local weather forecasting. This technology is part of a pilot project deployed by the Kerala State Disaster Management Authority, which will integrate N-Sonde data into a landslide prediction model developed by IIT Roorkee.

  • Technological maturity: Horizon

  • Contracting type: Under development

  • Technology level: High

  • Place of origin: India

  • Availability: N/A

  • Contact: WIPO GREEN Database