Viet Nguyen

• Analyzed spatial data with Python (GeoPandas, NumPy, GDAL, Rasterio, etc.), and R (sf, terra, lidR, rgdal, etc.) • Performed drone-based data acquisition (spectral, RGB, and LiDAR data) • Processed drone-based data with Agisoft Metashape • Developed WebGIS applications using HTML, CSS, and JavaScript (Leaflet)

• Implemented Random Forest algorithm using Python with Landsat 8, Sentinel 1, and Sentinel 2 data. Achieved 91% classification overall accuracy of crop type classification in central Asia • Collected and digitized on-screen training and validation data for landcover classification using QGIS • Interpreted multi-temporal remote sensing metrics (NDVI, NRPB, VV, VH, etc.) • Produced maps, figures, and tables using R and QGIS • Analyzed statistics with R (dplyr, ggplot2)

• Developed methods to derive individual tree attributes (coordinate, tree height, diameter at breast height (DBH), crown base height, crown area) from ALS point clouds using R (lidR, rLiDAR, TreeLS, etc.), achieving 78% tree detection rate • Evaluated statistical models for tree attributes using R, attaining 0.86 R2 for tree height estimates, and 0.74 R2 for DBH estimates

• Planned and prepared for TLS campaigns • Performed TLS measurements in 45 forest plots in Brandenburg

GPA: 1.0