Anditi provides high-quality spatial data for geographic information systems (GIS) and spatial analysis applications. Specialising in remote sensing data analysis and source data from 360-degree satellite and aerial imagery, as well as aerial and mobile LiDAR ( light detection and ranging ) data.
This involves the processing and analysis of aerial, mobile, and terrestrial LiDAR data, including point cloud filtering, classification, and feature extraction.
This includes the processing and enhancement of aerial, 360-degree, and satellite imagery, such as orthorectification, mosaicking, and image analysis.
Anditi provides data quality assessment, data cleaning, and integration of geospatial data from various sources for analysis and visualisation.
Anditi offers 2D and 3D models, combined with 360-degree imagery, coloured point clouds, and classified LiDAR, which is viewable online through their 3D portal.
Our spatial analysis products provide high-quality spatial data for geographic information systems (GIS) and spatial analysis applications. We specialise in remote sensing data analysis. We source data from 360-degree satellite and aerial imagery, as well as aerial and mobile LiDAR ( light detection and ranging ) data. We then process this data to derive accurate and valuable information about the Earth's surface.
360-degree Imagery and LiDAR data provide rich spatial information that can be leveraged for various spatial analysis and GIS products. Here are some examples of some of the high value products we offer:
With a broad range of products & services, Anditi serves various companies across industry sectors.
A hydro-enforced ground model is a type of digital terrain model used for flood mapping. This representation is created by combining hydrological data and a digital elevation model (DEM). This produces a more accurate depiction of the ground surface.
A DEM is a digital representation of the elevation or height of the ground surface, typically created by using data from aerial or satellite imagery. However, DEMs do not usually take into account the impact of water flow on the ground surface. Hydrological data, such as river flow rates, rainfall intensity, and soil characteristics, can be used to create a hydro-enforced ground model that accounts for the effects of water flow.
Flood mapping using a hydro-enforced ground model involves simulating how water would flow across the surface during a flood event, taking into account the topography and hydrological factors. This allows for more accurate identification of areas that are at risk of flooding, which can be useful for emergency response planning, flood risk management, and insurance purposes.
In addition, hydro-flattening of water surfaces removes artificial water barriers and creates a clean ground model.
Comparing aerial LiDAR scans from different epochs allows various changes to be detected. These changes can be in the landform such as cut and fill, illegal excavation or earthworks, illegal dumping or earth slumping and rock falls. The volume of material required for the rehabilitation of disused quarries can also be calculated from this data. This ensures that each new LiDAR capture provides insights into changes in your LGA over time.
Our ground product/services leverage advanced spatial analysis techniques to provide accurate and comprehensive information on ground elevation. This allows our customers to make informed decisions in various applications, such as flood modelling, transportation planning, and infrastructure development. By partnering with us, you can ensure that your decisions are grounded in accurate spatial analysis and reliable data.