Processing of forest lidar data collected by our field team, including co-registration of terrestrial laser scanning (TLS), and pre-processing of airborne laser scanning (ALS) data, using a mix of in-house and manufacturer (RIEGL, Applanix) software.
Quality assurance of individual tree segmentation from TLS data.
Rigorous, punctual and consistent backup of large lidar datasets, and working together with the lidar scientists, engineers and the field team for fast delivery of high-quality lidar products at scale.
Continuously improving our lidar tech; keeping track of developments in science and industry.
Supporting day-to-day coordination with external partners, with clear communication and a focus on continuous improvement.
Occasional travel to join data collection missions, test new hardware or data acquisition protocols, and train the field team.

Has experience working with lidar data from forest ecosystems; particularly with TLS co-registration and ALS pre-processing.
Preferably has experience with lidar data collection in forests, automatic tree segmentation and/or quantitative structure modelling.
Is proficient with 3D point cloud tools (e.g. CloudCompare), QGIS and has coding experience (ideally Python).
Has strong attention to detail and cares about high quality data processing.
Has a good understanding of forest ecology, GIS, and lidar principles.
Is willing and able to travel internationally for a couple of weeks on end on occasion.

Sylvera

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