Location: Gurgaon, Haryana, India
Position: Geospatial Analyst (On-Site)
Key Responsibilities:
- Geospatial Data Acquisition and Processing:
- Collect and process high-resolution satellite imagery, LiDAR data, and drone-acquired datasets.
- Use remote sensing software (ENVI, ERDAS) to preprocess data, including radiometric corrections, georeferencing, and orthorectification.
- Spatial Analysis and Modelling:
- Develop spatial models and algorithms for applications such as land use classification, change detection, and object recognition in geospatial data.
- Implement advanced GIS techniques, including spatial interpolation, hydrological modelling, and network analysis.
- Visualisation and Cartography:
- Create detailed and interactive maps, 3D models, and geospatial visualisations using ArcGIS, QGIS, and Mapbox.
- Utilise tools like Blender and Unity for 3D environmental modelling and simulation.
- Data Integration and Database Management:
- Integrate geospatial data with other data sources (IoT, GPS, weather data) for comprehensive analysis.
- Design and manage spatial databases using PostgreSQL/PostGIS, ensuring efficient data storage and retrieval.
- Advanced Geospatial Analytics:
- Develop custom scripts in Python or R for spatial data analysis, including machine learning applications like predictive modelling and anomaly detection.
- Apply geostatistical methods (Kriging, Moran’s I) for environmental impact assessments and resource management.
- Collaboration and Reporting:
- Collaborate with AI/ML engineers, software developers, and project managers to integrate geospatial insights into broader tech solutions.
- Prepare detailed analytical reports, dashboards, and presentations to communicate findings to stakeholders.
- Tool Development and Automation:
- Develop automated geospatial tools using APIs (Google Earth Engine, OpenStreetMap) to streamline data analysis workflows.
- Implement automated change detection systems for monitoring environmental changes or urban expansion.