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.