I will process lidar data for forest structure and metrics

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wanderdeivid
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wanderdeivid
Wander C

About this gig

I will process your LiDAR point cloud data and transform it into clear and meaningful forest information. My work focuses on extracting useful insights from raw data, including canopy height models, forest structure metrics, and high-quality spatial maps.

Using GIS and remote sensing tools such as QGIS, CloudCompare, and R, I can clean, analyze, and visualize your LiDAR data to support environmental studies, forest inventory, and geospatial analysis projects.

What you will get:

  • High-quality LiDAR-based maps (canopy, density, or terrain visualization)
  • Forest structure metrics extracted from point cloud data
  • Optional slides or reports summarizing the results (depending on package)
  • Clear and organized outputs ready for analysis or presentation

This gig is ideal for forestry professionals, researchers, and companies working with environmental monitoring, forest inventory, or geospatial data analysis.

If you need custom analysis or have a specific project, feel free to contact me before ordering.

Get to know Wander C

Wander C

LiDAR, GIS, Remote Sensing, Spatial Data Analyst

  • FromBrazil
  • Member sinceSep 2024
  • Languages

    English, Portuguese
I am a professional focused on machine learning, geoprocessing and ecological modeling, with solid experience in dealing with complex data, especially in the context of forests and remote sensing. I have advanced skills in Python and R, applying machine learning algorithms, such as SVM (Support Vector Machines), to solve classification and prediction problems using forest inventory and LiDAR data.

My Portfolio