Apply geospatial science and image processing as a fully remote Remote Sensing Scientist focused on agricultural monitoring and analysis. Use satellite imagery to assess crop conditions and agricultural change.
This experienced scientist will analyze agricultural imagery and develop models for crop health, yield prediction, land use, and environmental change. The work requires geospatial datasets, Python or R, and collaboration with agronomists, data scientists, and stakeholders. Findings support sustainable practices and policy decisions.
Key Responsibilities:
- Process satellite and aerial imagery from Sentinel, Landsat, and Planet
- Develop algorithms for crop classification and vegetation health assessment
- Estimate yields and map agricultural land cover
- Integrate imagery with soil maps and weather data
- Prepare technical reports, presentations, and geospatial visualizations
Requirements:
- Master's or Ph.D. degree in a related geospatial field
- At least six years processing and analyzing remote sensing data
- Experience applying remote sensing techniques to agriculture
- Proficiency with ENVI, ERDAS Imagine, Google Earth Engine, or ArcGIS
- Strong Python or R programming skills for geospatial analysis
Bring agricultural remote sensing, image processing, and programming expertise to deliver rigorous geospatial analysis remotely.
Remote Sensing Scientist Agriculture in Kimberley employer: Placements24
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