Remote Sensing Specialist - Agriculture
Benoni, 1501, South Africa
Listed on 2026-10-30
-
Research/Development
Data Scientist, Research Scientist, Agriculture / Farming
About the Role
Our client, a leader in agricultural technology and data analytics, is seeking a highly specialized Remote Sensing Specialist to join their team on a fully remote basis. This role is critical for leveraging satellite and aerial imagery to provide advanced insights into crop health, soil conditions, and land use patterns for agricultural applications. The Specialist will work with large geospatial datasets, employing sophisticated analytical techniques and software to support precision agriculture initiatives.
This position requires a deep understanding of remote sensing principles, GIS, and their application in the agricultural sector. The ideal candidate is adept at data interpretation, visualization, and communicating complex findings clearly to both technical and non-technical stakeholders. This is an exciting opportunity to contribute to the advancement of data-driven farming from anywhere in Benoni, Gauteng, ZA
, or any approved location within South Africa.
- Acquire, process, and analyze multi-spectral and hyper-spectral satellite and aerial imagery.
- Develop and apply algorithms for crop health monitoring, yield prediction, and land cover classification.
- Utilize GIS software to integrate remote sensing data with other agricultural datasets (e.g., soil maps, weather data).
- Create thematic maps, dashboards, and reports visualizing geospatial information for agricultural decision-making.
- Conduct research and development to explore new applications of remote sensing in agriculture.
- Collaborate with agronomists, data scientists, and other team members to provide data-driven recommendations.
- Identify and evaluate new remote sensing technologies and data sources.
- Ensure data quality, accuracy, and consistency throughout the analysis process.
- Stay current with advancements in remote sensing, GIS, and agricultural technology.
- Communicate findings and recommendations effectively through presentations and written reports.
- Master's degree or PhD in Remote Sensing, Geography, Environmental Science, Agriculture, or a related quantitative field.
- Minimum of 5 years of experience in remote sensing data analysis, with a focus on agricultural applications.
- Proficiency in remote sensing software (e.g., ENVI, ERDAS Imagine) and GIS software (e.g., ArcGIS, QGIS).
- Experience with programming languages commonly used in geospatial analysis, such as Python or R.
- Strong understanding of spectral signatures of vegetation and soil.
- Experience with image processing techniques, including atmospheric correction and geometric correction.
- Familiarity with agricultural practices and crop types is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present complex technical information clearly.
- Proven ability to work independently and manage projects effectively in a remote setting.
- Competitive salary package reflective of expertise.
- Comprehensive medical and retirement benefits.
- Flexible work hours and a fully remote work environment.
- Opportunities for professional growth and attending industry conferences.
- Access to state-of-the-art technology and software.
- A collaborative and innovative company culture.
- Generous annual leave.
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