Turn satellite and aerial imagery into agricultural intelligence as an experienced Remote Sensing Scientist working fully remotely. Analyze vegetation health, yields, and land cover using geospatial methods.
This scientist applies remote sensing expertise to crop monitoring and environmental analysis across agricultural settings. Responsibilities combine image processing, spectral analysis, vegetation indices, and automated workflows. Collaboration with agronomy and data science teams helps validate findings and integrate results into decision-support tools.
Key Responsibilities:
- Acquire and analyze imagery for agricultural monitoring applications
- Implement NDVI and EVI vegetation health assessments
- Build automated image analysis and reporting workflows
- Validate findings with agronomy and data science teams
- Contribute to agricultural remote sensing research publications
Requirements:
- Six or more years of remote sensing analysis experience
- Significant skilled experience focused on agricultural applications
- Understanding of vegetation indices and spectral analysis techniques
- Experience with satellite and aerial sensor data types
- Excellent analytical, critical-thinking, written, and verbal communication skills
Use agricultural imagery, vegetation indices, and analytical modeling to advance accurate remote sensing insights from a remote setting.