Blaž Šušteršič
Geospatial AI Specialist at Flai
Blaž works hands-on with customer datasets at Flai: airborne, mobile and terrestrial captures alike. He builds and tunes the processing flows behind Flai's templates and runs classification and forestry projects end to end, from raw capture through QC to the delivered point cloud, raster and vector products.
- Point cloud classification and QC
- Forestry inventory from LiDAR
- Processing flow design
- Raster and vector deliverables
- QGIS and GIS workflows
17 posts by Blaž
- Nov 10, 2025
How to Keep Original (Ground) Labels Unchanged When Using Flai Classification
When you already have valuable labels in your point cloud data, you should not have to lose them when you run a new classification. This guide shows how to create a processing…
- Aug 5, 2025
Urban Tree Detection in Ljubljana - Using Field Surveys and LiDAR
Urban trees are vital to the health and sustainability of city environments. They provide a range of ecosystem services, such as cooling urban areas, filtering air pollutants,…
- Apr 14, 2025
Introduction to LiDAR Point Cloud
LiDAR (Light Detection and Ranging) technology has become a cornerstone in fields like autonomous driving, robotics, environmental mapping, and construction. At the heart of this…
- Mar 28, 2025
How to thin the ground layer using Flai web app
In LiDAR (Light Detection and Ranging), the laser beam interacts with surfaces in three main ways: absorption, transmission, and reflection. Most LiDAR systems rely on reflected…
- Feb 25, 2025
Applications of LiDAR in agriculture
Agriculture, one of humanity's oldest endeavours, uses state-of-the-art technologies to meet the challenges of a growing world population, climate change and limited resources. As…
- Oct 14, 2024
Power Grid Vegetation Analysis with LiDAR and AI
ELES faced a significant challenge in monitoring and predicting vegetation growth near power transmission lines to ensure the safe, reliable, and uninterrupted flow of…
- Aug 21, 2024
Forest Damage Assessment Template: Powering Forest Health Monitoring with AI
The Forest Damage Assessment Template leverages AI to assess forest damage using automated classification of LiDAR point cloud data.
- Aug 21, 2024
Forestry Classifier Template: Leveraging AI for Automated Forestry Data Classification
Forest inventory is crucial for monitoring forest health, biodiversity, and carbon sequestration. However, traditional methods are often time-consuming and labor-intensive. The…
- Nov 24, 2023
Forest damage assessment from LiDAR point cloud using Artificial Intelligence
On Monday, July 24, wind gusts exceeding 200 km/h swept through the city of La Chaux-de-Fonds in northwestern Switzerland. The winds left devastating damage on buildings and in…
- Sep 25, 2023
Automatically classify mobile mapping LiDAR datasets with ease
The need for regularly updated and accurate geospatial data has grown exponentially in the last decades. Mobile mapping LiDAR data serve as an important source for various…
- Jul 2, 2023
Online sharing of point clouds using Flai Web Application
In today's data-driven world, seamless collaboration and sharing of datasets are vital for efficient analysis and decision-making. Flai, a robust web application, offers a…
- Jun 16, 2023
Interpret your data by combining multiple sources
Looking at objects in geospatial data taken from one angle or by only one particular sensor can be challenging, especially when handling data sets of unfamiliar regions or scenes.…
- Apr 12, 2023
Using AI to improve forest inventory
Forestry inventory is a crucial aspect of sustainable forest management. It involves collecting data on the characteristics of a forest, such as height, diameter, age, and overall…
- Jan 16, 2023
Creating rasters from point clouds with Flai web app
Creating fully annotated point clouds is usually only the first step to producing a product that can be used and understood by a wider audience. If you want to create raster…
- Jan 12, 2023
Using LiDAR point clouds in precision forestry applications
LiDAR proved to be a suitable technology for forestry applications as it can penetrate the canopy and accurately detect tree structure and ground points.
- Sep 23, 2022
Automatic extraction of ground points of a rockface using Artificial Intelligence
In this project, the goal was to get ground points of a densely vegetated rockface to analyze the rock structure. This task could only be done by using a high-density LiDAR point…
- May 18, 2022
How to use annotation tools in Flai web application
Point cloud datasets produced by 3D laser scanning or photogrammetry gain a lot of value if they are accurately classified.