THE EASY ROUTE TO SITE REMEDIATION
As a player involved in site characterization projects, your decisions are often based on limited and heterogeneous data.
So, how to predict the degree of contamination and how to propose an appropriate remediation strategy?
We provide Kartotrak.one, an easy-to-use and fast application for in-depth data analysis and quality control and accurate contamination mapping.
Improve your understanding of the contamination
With Kartotrak.one, you put all available data in their global environmental context and get the tools to analyse them thoroughly. The software generates professional quality displays facilitating communication between project stakeholders.
Base your decisions on reliable information
Adopting Kartotrak.one means you get the realistic and reliable contamination maps you need to make informed decisions and better anticipate issues related to site remediation. Hot spots or under-sampled areas are immediately located.
Save time during site characterization
Using Kartotrak.one, you enjoy the efficiency with which a map is produced. You optimize your time using the same software from data analysis to excavation plan. Besides, Kartotrak.one is relevant for any type and any size of project.
KARTOTRAK.ONE KEY FEATURES
- Integration and visualization of all available data (surveys, surface measurements, DTM, aerial views, plans, etc.)
- Data controlled and validated through high-value exploratory data analysis tools
- Fast 2D and 3D mapping based on quality geostatistics
- Production of excavation plans (Click here for more info)
- Integrated workflow
- Combined GIS and 3D viewer for professional displays
- User-friendly interface
- Fast to learn and to handle
Kartotrak.one is a light version of Kartotrak. The software gathers Kartotrak exploratory data analysis and rapid mapping functionalities. Kartotrak, in its full version, enables more advanced geostatistical data modeling and uncertainty quantification associated with contaminated volumes or masses of pollutants. It can also model several pollutants together.