Dimap is the only commercial aerial survey company that provides a complete multi-sensor digital mapping service with 5 sensors operating in one single flight.
In addition to providing highly-accurate rectified digital products and data for applications in energy, resources and environmental sectors, Dimap has differentiated itself from its competitors in the market place through the collection and delivery of specialised remote sensing products.
Lidar is using Laser-Rays to measure the distance to the ground in a swath and generates out of that accurate tterain and surface models and point clouds for 3D-Modelling with accuracies of better 5cm absolut. Dimap is in Asia one of the top addresses for airborne surveys using modern Lidar systems combined with multiple other sensors
Our airborne LiDAR systems are installed on aircrafts, helicopters or drones Dimap operates topological Lidar for terrain measurements and bathymetric LiDAR for mapping the coastal interface
Our terrestrial LiDAR systems are installed on vehicles for collecting accurate data points along roads and around buildings. These are used for mapping highways, analysing infrastructure or even collecting point clouds from the inside and outside of buildings.
Our terrain elevations play a crucial role during the construction of roads, mines, large buildings and bridges. LiDAR technology hasx, y and z coordinates, which makes it incredibly easy to produce the 3D representation of elevations to ensure that concerned parties can draw necessary conclusions more easily and plan, monitor and report construction work.
Agriculture & Archaeology
Typical applications of LiDAR technology in the agriculture sector include analysis of yield rates, crop scouting and seed dispersions. Besides this, it is also used for campaign planning, mapping forests canopy and defining above ground carbon amounts.
Apart from the applications mentioned above, LiDAR is used by geoscientists for unearthing geomorphologal and archeological secrets, as well for carrying out various security operations for instance near the national borders.
Developed a new method for evaluating drill cores
CORESMART workflow enables quantitative determination of valuable metals in drill core – results published in the Australian Journal of Earth Sciences
With the current publication in the international Australian Journal of Earth Sciences , GEOS and Dimap Spectral GmbH report on the latest results of the AI-based prediction of the content of gold, copper and iron in cores based on hyperspectral core scans. The article “Performance measurements of machine learning and different neural network designs for prediction of geochemical properties based on hyperspectral core scans” demonstrates the performance of the newly developed method, which is now also commercially available as the CORESMART workflow.
It was impressively demonstrated that the AI-based CORESMART workflow developed by GEOS and Dimap can be used to quantitatively determine valuable metals in drill cores. An accuracy of the predictions of more than 80% is achieved. This goes well beyond the results of previous AI-based approaches. The very good performance is achieved on the one hand by the network structure used and on the other hand by the extremely extensive training data from more than 700 kilometers of drill cores with more than 110,000 chemical analyses.
Thus, this method can be used to minimize the cost of chemical analysis in exploration and re-evaluation of existing drill cores. In the investigations, the CORESMART workflow was tested for the elements gold, copper, iron, tin, tungsten, silver, nickel and uranium with prediction accuracies of more than 80%.
Winning the Data Hound prize means a great deal to Dimap and partners as it’s really the first time combining hyperspectral and geophysics data using complex machine learning. While most of our clients are struggling with bridging the gap between these two worlds, the Explorer Challenge gave us a chance to develop and verify methods with rich data from both worlds. Winning this award gives credence to our methods and provides a proof of concept to the mining exploration industry. Since then the system has been developed further.