Research & Science

Publications

Peer-reviewed research underpinning ZaminSense technology — published in leading remote sensing and environmental science journals.

AiDroneTree — ForestSense

Forest Intelligence Research

Foundational publications driving our UAV LiDAR tree detection and forest monitoring capabilities.

01
Tree-Net: A novel deep learning tree detection architecture using UAV LiDAR data
Remote Sensing of Environment
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02
Advancing tree detection in forest environments: A deep learning object detector approach with UAV LiDAR data
Urban Forestry & Urban Greening
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03
A comparative analysis of UAV photogrammetric software performance for forest 3D modeling: A case study using AgiSoft Photoscan, PIX4DMapper, and DJI Terra
Sensors — MDPI
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04
SMOTE-Data-Augmented Machine Learning for Enhancing Individual Tree Biomass Estimation Using UAV LiDAR
Remote Sensing — MDPI
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05
Deep Learning Analysis of UAV LiDAR Point Cloud for Individual Tree Detection
IEEE IGARSS
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