UAV Photogrammetry & GIS Specialist | Metashape + QGIS

I’m a UAV photogrammetry and geospatial specialist based in Thailand, helping drone operators, survey teams, construction companies and property professionals turn raw aerial imagery into accurate, client-ready mapping and 3D deliverables.

I work primarily with Agisoft Metashape Professional and QGIS and regularly process UAV datasets ranging from a few hundred to several thousand high-resolution images.

My work includes orthomosaics, dense point clouds, ground classification, DSM/DTM terrain models, contour mapping, elevation and slope analysis, textured 3D reconstruction and GIS-ready outputs.

I also founded LandWise in Thailand, where I manage UAV mapping and property-intelligence projects from data capture and processing through analysis, quality control and final client delivery.

I’m available for one-off projects, ongoing remote processing and overflow support for companies that capture UAV data but need additional processing capacity.

If you have a project, send me your approximate image count, required outputs and any GPS, GCP, RTK/PPK or coordinate-system information and I can recommend the appropriate workflow.

Work Terms

I work remotely from Thailand (GMT+7) and can support clients internationally.

Before starting a project, I prefer to confirm:

• Approximate image count and dataset size
• Required deliverables
• Coordinate system and output formats
• Available GPS, GCP, RTK or PPK data
• Required accuracy and intended use
• Delivery deadline

I communicate primarily through Guru and normally respond within 24 hours.

For clearly defined projects, I can work on either an hourly or fixed-price basis. Larger datasets and complex processing requirements can be quoted separately after reviewing the project details.

All payment and project milestones should remain through Guru.

Photogrammetry results depend on the quality of the source imagery, overlap, flight pattern, GPS/control data and site conditions. I will identify any issues with the supplied data before committing to outputs that the dataset cannot reliably support.