3d laser scanning

Our team has extensive experience delivering land surveying services for governments, businesses and private individuals

About Us

In 2009, Mr.. Khalid Al-Raddadi established a land surveying office
based in Medina, Saudi Arabia. Today, that one-person surveying office
has grown into Khalid Al-Raddadi Surveys Company.

3D Models

We can develop and deliver a comprehensive digital twin solution using a range of ultramodern sensors, including unmanned drones with laser and image capture, airborne lidar and image sensors, mobile mapping sensors, 360-degree street views, terrestrial laser scanning, and indoor laser scanning.

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Terrain Models

An accurate and reliable terrain model is valuable when designing new infrastructure, including roads, railways, and powerlines, and can be used to calculate mass transfers. Our team can set up a detailed and accurate terrain model (DTM/DEM) from laser data using only points defined as terrain in laser data or combined with break lines.

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Point Clouds

A point cloud is a digital 3D representation of a physical object or space made of millions of individual measurement points. It can be used for many purposes including monitoring and analyzing roads, power lines and forestry.

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Layers classification

We specializes in all types of mapping — including mapping using photogrammetric methods with images taken from airborne cameras and mapping based on laser data collected with air or ground-based laser. We offer value from beginning to end: from planning & executing data capture to processing georeferenced.

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Analysis

LiDAR point clouds and multispectral imagery contain vast information, and we have the expertise and tools to unlock this. We use several methods depending on the application, such as state-of-the-art deep learning methods to detect objects in imager.

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Vegetation Cover

We have extensive experience with remote sensing-based forest inventory. Combining aerial LiDAR data and imagery with field measurements, we can provide accurate and cost-effective inventory results over large areas. Typical variables include tree height, species, diameter, growing stock, and carbon stock.

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