04.10.2025 aktualisiert
100 % verfügbar
GIS Specialist with Focus on Environmental Sustainability and Risk Assessment
Köln, Deutschland
Nur Remote
M.Sc. Natural Resources Management and DevelopmentÜber mich
With a passion for geospatial technology and sustainable development, I aim to contribute to innovative, data driven solutions that promote environmental resilience. My focus lies in leveraging advanced spatial tools to foster transparency, support resource management, and develop robust strategies
Skills
GeoinformationssystemData AnalysisArcgisComputerprogrammierungDatenvisualisierungUmweltprüfungUmweltüberwachungGoogle EarthHyperspectral ImagingBildverarbeitungPythonMachine LearningMappingMikrowellenMustererkennung
Geospatial Data Processing
Expertise in processing and analyzing multispectral satellite imagery for land-use classification, deforestation detection, and environmental monitoring using advanced spatial tools.
Remote Sensing Technologies
Proficiency in SAR, InSAR, Microwave, Hyperspectral, and Lidar remote sensing techniques for environmental assessment and risk monitoring.
GIS Software & Programming
Advanced skills in ArcGIS Pro, QGIS, Google Earth Engine, Python for geospatial applications, and various specialized tools for spatial data analysis and visualization.
Spatial Statistics
Knowledge of geostatistical methods and spatial analysis techniques for environmental assessment and risk modeling.
Digital Image Processing
Skills in filtering, photogrammetry and cartography techniques for processing satellite and aerial imagery.
Data Visualization
Experience with Power BI, Tableau, and Excel VBA for creating effective spatial data visualizations and technical reports.
Machine Learning for Geospatial Applications
Application of supervised and unsupervised classification methods for environmental data analysis and pattern recognition.
Expertise in processing and analyzing multispectral satellite imagery for land-use classification, deforestation detection, and environmental monitoring using advanced spatial tools.
Remote Sensing Technologies
Proficiency in SAR, InSAR, Microwave, Hyperspectral, and Lidar remote sensing techniques for environmental assessment and risk monitoring.
GIS Software & Programming
Advanced skills in ArcGIS Pro, QGIS, Google Earth Engine, Python for geospatial applications, and various specialized tools for spatial data analysis and visualization.
Spatial Statistics
Knowledge of geostatistical methods and spatial analysis techniques for environmental assessment and risk modeling.
Digital Image Processing
Skills in filtering, photogrammetry and cartography techniques for processing satellite and aerial imagery.
Data Visualization
Experience with Power BI, Tableau, and Excel VBA for creating effective spatial data visualizations and technical reports.
Machine Learning for Geospatial Applications
Application of supervised and unsupervised classification methods for environmental data analysis and pattern recognition.
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2025
Sprachen
DeutschGrundkenntnisseEnglischMuttersprache
Projekthistorie
Processing multispectral satellite imagery for land-use classification and environmental monitoring; integrating environmental datasets into GRAS Tool+; producing spatial data visualizations and technical reports.
Conducted landscape-level analysis of forest and mangrove degradation; performed watershed analysis and ecosystem services assessment; developed technical reports and research proposals.
Gained foundational training in Remote Sensing and GIS concepts; supported basic geospatial data analysis and digitization tasks; learned principles of cartography and thematic map creation.