Paid Internships in GIS and Remote Sensing
Paid internship opportunities to collaborate with Dr. Brian Needelman (UMD Environmental Science and Technology) and Dr. Steven Mirsky (USDA-ARS Sustainable Agricultural Systems Laboratory. Duties will include GIS and/or remote sensing applications for use in agricultural systems both locally and nationwide. Depending on student skills and interests, tasks may include:
Data collection and organization
Paid internship opportunities to collaborate with Dr. Brian Needelman (UMD Environmental Science and Technology) and Dr. Steven Mirsky (USDA-ARS Sustainable Agricultural Systems Laboratory. Duties will include GIS and/or remote sensing applications for use in agricultural systems both locally and nationwide. Depending on student skills and interests, tasks may include:
Data collection and organization
- Geocoding existing datasets
- Creating workflows for future datasets to include native geocoding
- Acquiring remote imagery from public APIs and open data warehouses
- Assessing the value of private/commercial APIs and data warehouses for our work
- Acquiring other spatial data: soil properties, weather, crop layers
- Ingesting and processing remote sensor data
- Joining geocoded datasets with imagery
- Manipulating imagery (e.g. reorienting rasters, calculating spectral indices)
- onverting processed rasters to tabular format for other analysts and vice versa
- Working with statisticians, data scientists, and machine learning experts to bring spatial context to their analyses
- Working with field technicians to implement protocols for collecting spatial data
- Delivering processed data in common formats to our team and via public APIs
- Testing and evaluating spatial tools and software platforms to decide if they are useful for our organization
- Training analytical and technical staff on adopted technologies
- Python, R, JavaScript
- Cloud computing
- ArcGIS, QGIS
- Leaflet, Mapbox
- SSURGO/Web Soil Survey