Sure! You can test out RoadViewer on our free plan where you can experiment with demo data sets. Your freemium projects will have a feature limit, but you can purchase a data plan on a per-project basis to unlock up to 1000+ features and additional custom solutions.
LIDAR (light detection and Ranging) is an active remote sensing method where a sensor emits and captures short wavelengths of light to measure objects in high resolution. Urban areas are complex environments, and the ability of LiDAR to measure in three dimensions makes it more accurate in measuring the proportion and spatial distribution of tree canopies across these areas. LIDAR data sets are not limited to the tree canopy and vegetation of urban areas but can also provide high-accuracy models for building footprints, digital terrain, and flood modelling.
Digital Terrain Modelling (DTM) is a topographic model of the bare Earth that can be manipulated by computer programs.
The data files contain elevation data in digital format that relates to a rectangular grid. Vegetation, buildings and other cultural features are removed digitally- leaving just the underlying terrain. DTMs are used especially in civil engineering, geodesy & surveying, geophysics, geography and remote sensing.
The DTM is created by merging point clouds (points collected by LIDAR), bare ground (land surface without vegetation) and digital models of relief maps or representations of the earth's surface. This results in a light detection and ranging (LIDAR) image from which points can be extracted using field measurements or remote sensing methods such as radar interferometry or stereoscopic photogrammetry.
The DTM is processed to create a DEM, which displays height information for each point in space based on its x-y location on an XYZ coordinate system.
Terrain modelling can be used in many industries and fields, including surveying, urban planning, natural and built features augmentation, power lines, land use planning and geology. It is used especially in civil engineering and, geodesy & surveying.
Anditi’s 3D Web Portal allows your LiDAR dataset and imagery to be accessed from any location with an internet connection, democratising data and allowing customers the ability to provide different access levels across internal and external stakeholders. Our intuitive and easy to use portal has been designed to import/export multiple file types, enable measurements and annotations, and work seamlessly with other geospatial software, providing a powerful and user-friendly tool for accessing and viewing spatial data. The cloud-based nature of the portal means it is scalable for any data size or number of users with no need to download software or impact internal systems.
Go to RoadViewer.market to learn more
LiDAR delivers a massive point cloud with elevation values. But height can come from the top of buildings, tree canopy, powerlines, and other features. A DSM captures the natural and built features on the Earth’s surface.
A DSM is useful in 3D modeling for telecommunications, urban planning and aviation. Because objects extrude from the Earth, this is particularly useful in these examples:Digital Surface Model (DSM) – Extruding features are tree canopy
RUNWAY APPROACH ZONE ENCROACHMENT: In aviation, DSMs can determine runway obstructions in the approach zone.
VEGETATION MANAGEMENT: Along a transmission line, DSMs can see where and how much vegetation is encroaching.
VIEW OBSTRUCTION: Urban planners use DSM to check how a proposed building would affect the viewshed of residents and businesses.
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You can provide us with your own data, (depending on the quality) or we will acquire the required data for your project through our industry leading capture partners, then analyse, assess and quality check the data and extract valuable tailored solutions for your needs.
Anditi is a big data analytics company comprised of data scientists, GIS analysts, engineers & software developers. Anditi's core services are derived from aerial imagery, LiDAR, and remote sensing data. Anditi has built patented algorithms to perform complex analyses of big data sets. The data can be turned into a variety of products, such as ;
- DEM (digital elevation model)
-DTM (digital terrain model)
-DSM (Digital Surface Model)
- Remote Surveying
- Lidar Classification ( ground, culverts, vegetation, buildings, powerlines etc.)
- Asset Identification/Extraction ( Example: count how many drains are within an LGA )
- Hydrology ( Hydrological modelling, hydro-enforced DEM)
- Vegetation Analysis ( Canopy height Model, change detection, carbon sequestration etc.)
- Habitat Conservation ( Malleefowl Mound identification)
- Building Footprints
- Vegetation Stratification
Anditi has a strong presence within the roads, transport and infrastructure space with the release of their latest road corridor assessment solution, Roadviewer, a point cloud and aerial imagery-derived 3D portal. That enables users to conduct remote surveys, bridge clearance, swept-path analysis and iRAP accreditation star ratings.
Big Data describes large sets of diverse data ‒ structured, unstructured, and semi-structured ‒ that are continuously generated at high speed and in high volumes. Many companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it using traditional data storage and processing units.
Big Data analytics is the process of finding patterns, trends, and relationships in massive datasets that can’t be discovered with traditional data management techniques and tools. In the application of Big Spatial Data sets, Anditi works with data derived from thousands of kilometres of road and Local government areas to provide solutions in an accurate, timely and cost-effective way. Traditionally would take a suit of manual labour and money.
Spatial data analysis refers to a set of techniques designed to find patterns, detect anomalies, or test hypotheses and theories, based on spatial data. - Michael F. Goodchild
The International Road Assessment Programme (iRAP) is a registered charity dedicated to saving lives by eliminating high risk roads throughout the world. The charity utilises an evidence-based approach to prevent unnecessary road deaths and suffering.
iRAP works in partnership with governments, road authorities, mobility clubs, development banks, NGOs and research organisations to:
- Inspect high-risk roads and develop Star Ratings, Risk Maps and Safer Roads Investment Plans
- Provide training, technology and support that will build and sustain national, regional and local capability
- Track road safety performance so that funding agencies can assess the benefits of their investments.
AiRAP accreditation is iRAP’s newest category of accreditation. It is specifically to certify the use of data derived from big data and/or machine-learning methods meets iRAP specifications. More information on AiRAP is available at www.irap.org/airap.
Anditi is AiRAP attribute accredited for our method to produce road attribute data from LiDAR and 360 degree imagery in accordance with iRAP specifications.
Anditi can produce 34 road attributes for roads across Australia. Anditi developed and refined the data extraction methods based on road networks in Western Australia, New South Wales and Victoria.
The AiRAP data can be used in conjunction with RoadViewer, Anditi’s accredited inspection system.
The AiRAP accreditation process is open to any data providers and is managed as part of iRAP’s broader accreditation program.