CV

WebGIS Developer

Institute of Geography and Geology, University of Greifswald

• Developed WebGIS applications using HTML, CSS, and JavaScript

GIS and Remote Sensing analyst

Institute of Geography and Geology, University of Greifswald

• Maintained large-scale remotely sensed satellite datacube using FORCE
• Analyzed spatial data with Python (GeoPandas, Rioxarray, NumPy, GDAL) and R (sf, terra, lidR, rgdal)
• Performed drone-based data acquisition (spectral, RGB, and LiDAR data)
• Processed drone-based data with Agisoft Metashape, DJI Terra

Student Assistant in Terrestrial laser scanning

Naturwald Akademie

• Planned and performed TLS campaigns in 45 forest plots in Brandenburg

Intern

Thünen Institute

Large-scale forest inventory based on ALS point cloud

• 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.). Achieved 78% tree detection rate in 4584 km2 of heterogeneous forest in North Rhine-Westphalia
• Evaluated statistically models for tree attributes using R, attained 0.86 R2 of tree height estimates, and 0.74 R2 of DBH estimates

GIS and Remote Sensing technician

Centre for Econics and Ecosystem Management, Eberswalde University

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

M.Sc

Eberswalde University for Sustainable Development

Forest Information Technology

• GPA: 1.0 (German grade)

B.Sc

Vietnam National University

Soil Science