CV
Basics
| Name | Viet Nguyen |
| Label | Geospatial Analyst |
| duc.nguyen@uni-greifswald.de | |
| Phone | +49 3834 420 4544 |
| Url | https://vietducng.github.io/ |
| Summary | A geospatial analyst with 3+ years of experience working with GIS, remote sensing, geo data, and 3D point cloud. Familiar with photogrammetry, statistics, machine learning, programming, visualization, and Webmaps |
Work
-
2023.11 - Current Greifswald, Germany
GIS analyst
Institute of Geography and Geology, University of Greifswald
- Analyzed spatial data with Python (GeoPandas, GDAL, rasterio, multiprocessing, etc.), and R (sf, terra, lidR, rgdal, doParallel, etc.)
- Performed drone data acquisition (multispectral, RGB, LiDAR data)
- Processed drone data with Metashape
- Created Web maps using HTML, CSS, JavaScript (Leaflet)
-
2022.03 - 2022.04 Lübeck, Germany
Student Assistant in Terrestrial laser scanning
Naturwald Akademie
https://www.pyrophob.de/
- Planned and prepared for TLS campains
- Performed TLS measurements in 45 forest plots in Brandenburg
-
2021.10 - 2023.05 Eberswalde, Germany
Internship
Thünen Institute of Forest Ecosystems
Forest inventory based on ALS point cloud on large-scale levels (https://winmol.thuenen.de/)
- Developed methods to derive individual tree attributes (coordinate, tree height, diameter at breast height, crown base height, crown area) using R (lidR, rLiDAR, TreeLS, etc.)
- Evaluated results statistically using R. 78% tree detection rate in North Rhine-Westphalia using AMS3D algorithm, 0.86 R2 of tree height estimates, and 0.74 R2 of DBH estimates
-
2021.01 - 2023.08 Eberswalde, Germany
Scientific Assistant in GIS and Remote Sensing
Centre for Econics and Ecosystem Management, Eberswalde University for Sustainable Development
Land-use land-cover classification, crop type mapping, LiDAR analysis (https://www.transect.de/), (https://virtualforests.eu/)
- Implemented Random Forest algorithm with Landsat 8, Sentinel 1, and Sentinel 2 data in Google Earth Engine using Python. Achieved 91% 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 (e.g., NDVI, NRPB, VV, VH)
- Created scientific maps, figures, and tables using R and QGIS
- Analyzed statistics with R (dplyr, ggplot2, etc.)
Education
Certificates
| Introduction to Hyperspectral Remote Sensing | ||
| EO College | 2024 |
| EnMAP data access and image preprocessing techniques | ||
| EO College | 2024 |
| Structure-from-Motion photogrammetry | ||
| The University Centre in Svalbard | 2024 |
| Elements of AI | ||
| University of Helsinki | 2023 |
| Geo-Python | ||
| University of Helsinki | 2023 |
| Automating GIS Processes | ||
| University of Helsinki | 2023 |
| Introduction to R | ||
| DataCamp | 2021 |
| Python Data Structures | ||
| University of Michigan | 2021 |
| Using Python to Access Web Data | ||
| University of Michigan | 2021 |
| Getting started with Python | ||
| University of Michigan | 2021 |
| Sustainable Forest Management and Bio-Economy | ||
| University of Valladolid | 2020 |
Skills
| GIS | |
| QGIS | |
| ArcGIS | |
| Google Earth Engine |
| Programming | |
| Python | |
| R | |
| SQL |
| WebGIS | |
| HTML | |
| CSS | |
| JavaScript (Leaflet) |
| Database | |
| PostgreSQL | |
| PostGIS |
| Digital | |
| Microsoft Office | |
| Data Management | |
| Git | |
| GitHub |
| License | |
| EU Drone License A1-A3 |
Languages
| German | |
| A2 |
| English | |
| C2 |
| Vietnamese | |
| Native |