He has been working at the Institute of Electronics and Computer Science since 2020. Research interests: photogrammetry and remote sensing; multispectral, synthetic aperture radar image processing; unmanned aerial vehicle data processing and use in agriculture and forestry; 3D modeling using 3D laser scanner data.
In 2019, Grigorijs Goldbergs defended his doctoral thesis “Remote Sensing of Tree Structure and Biomass in North Australian Mesic Savanna” at Charles Darwin University (Australia) and obtained a PhD degree.
In addition to his research work, he teaches courses at the Latvia University of Agriculture.
Related publications:
1. Goldbergs, G., Levick, S. R., Lawes, M., & Edwards, A. (2018). Hierarchical integration of individual tree and area-based approaches for savanna biomass uncertainty estimation from airborne LiDAR. Remote Sensing of Environment, 205, 141-150.
DOI: https://doi.org/10.1016/j.rse.2017.11.010
2. Goldbergs, G., Maier, S. W., Levick, S. R., & Edwards, A. (2018). Efficiency of Individual Tree Detection Approaches Based on Light-Weight and Low-Cost UAS Imagery in Australian Savannas. Remote Sensing, 10(2), 161.
DOI: https://doi.org/10.3390/rs10020161
3. Goldbergs, G., Maier, S. W., Levick, S. R., & Edwards, A. (2019). Limitations of high resolution satellite stereo imagery for estimating canopy height in Australian tropical savannas. International Journal of Applied Earth Observations and Geoinformation, 75, 83-95.
DOI: https://doi.org/10.1016/j.jag.2018.10.021
Recent projects
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Remote sensing based system for forest risk factor monitoring (Forest Risk) #ESIF
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Comprehensive analysis of hemiboreal forest structure, species composition and ecosystem services using VHR hyperspectral and LiDAR data (HYLIFORES) #FLPP
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Monitoring urban waterfront and recreation territories (Waterfront) #ESA
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EO Baltic Platform for Governmental Services (EO-BALP) #ESA
Recent publications
- G. Goldbergs, 2021. "Impact of Base-to-Height Ratio on Canopy Height Estimation Accuracy of Hemiboreal Forest Tree Species by Using Satellite and Airborne Stereo Imagery". Remote Sensing.
- G.Goldbergs. Comparison of Canopy Height Metrics from Airborne Laser Scanner and Aerial/Satellite Stereo Imagery to Assess the Growing Stock of Hemiboreal Forests. Remote Sens. 2023, 15(6), 1688; https://doi.org/10.3390/rs15061688
- Goldbergs, G., & Upenieks, E. M. (2024). Hierarchical Integration of UAS and Sentinel-2 Imagery for Spruce Bark Beetle Grey-Attack Detection by Vegetation Index Thresholding Approach. Forests, 15(4), 644.