Remote Sensing Analyst - Agricultural Applications

Placements24; South Africa; Remote; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Home office stipend

Flexible working hours

Health benefits

Career growth opportunities

Fully remote role across SA and beyond

Job summary

Placements24 partners with a pioneering agricultural technology firm to recruit a Remote Sensing Analyst for a fully remote role across South Africa and beyond. You will acquire, process, and interpret multi-spectral imagery, vegetation indices, and pattern analysis to support crop health and water management decisions.

The role requires a Master’s or PhD in remote sensing or related field, 5+ years of experience, and proficiency with ENVI, ERDAS, QGIS, ArcGIS, and Python or R.

Qualifications

• Master's degree or Ph.D. in Remote Sensing, GIS, Geography, Environmental Science, Agronomy, or closely related field.
• Minimum of 5 years of professional experience in remote sensing data analysis with a significant focus on agricultural applications.
• Proven expertise in using industry-standard remote sensing software and processing techniques.
• Strong programming skills in Python or R for data manipulation, analysis, and automation.
• Solid understanding of image processing principles, spectral signatures, and their relationship to agricultural parameters.
• Experience with various satellite platforms (e.g., Sentinel, Landsat) and aerial/drone imagery.
• Excellent analytical and problem-solving abilities, with meticulous attention to detail.
• Strong communication and collaboration skills, essential for a remote work environment.

Responsibilities

• Acquire, pre-process, and calibrate multi-spectral, hyperspectral, and thermal remote sensing data from satellite and drone platforms.
• Develop and apply algorithms for vegetation index calculation, land cover classification, change detection, and feature extraction for agriculture.
• Analyze imagery to monitor crop growth stages, assess vegetation health, detect stress factors, and estimate yields.
• Utilize GIS software and remote sensing tools for data analysis and spatial modeling.
• Integrate remote sensing data with weather, soil maps, and field observations for comprehensive analysis.
• Develop automated workflows for routine data processing and analysis to improve efficiency.
• Generate reports, maps, and visualizations for technical and non-technical audiences.
• Collaborate with agronomists, data scientists, and stakeholders to translate data insights into applications.
• Stay updated on the latest remote sensing technologies and their agricultural applications.

Skills

Python

R

Education

Master's or PhD in Remote Sensing or related field

Tools

ENVI

ERDAS Imagine

QGIS

ArcGIS

Job description

About the Role

Our client, a pioneering agricultural technology firm, is seeking a highly motivated and skilled Remote Sensing Analyst to join their innovative team in a fully remote capacity. This role is perfect for an individual passionate about leveraging satellite and aerial imagery to drive insights and improvements within the agricultural sector across South Africa and beyond. You will be responsible for acquiring, processing, analyzing, and interpreting remote sensing data to provide actionable intelligence on crop health, land use, water management, and environmental monitoring. As a remote-first organization, we empower our employees with the flexibility to work from anywhere while contributing to cutting-edge agricultural solutions.

Key Responsibilities

• Acquire, pre-process, and calibrate multi-spectral, hyperspectral, and thermal remote sensing data from various satellite and drone platforms.


• Develop and apply algorithms for vegetation index calculation, land cover classification, change detection, and feature extraction relevant to agriculture.


• Analyze imagery to monitor crop growth stages, assess vegetation health, detect stress factors (e.g., drought, pests, diseases), and estimate yields.


• Utilize GIS software and remote sensing tools (e.g., ENVI, ERDAS Imagine, QGIS, ArcGIS) for data analysis and spatial modeling.


• Integrate remote sensing data with other data sources, such as weather data, soil maps, and field observations, for comprehensive analysis.


• Develop automated workflows for routine data processing and analysis to enhance efficiency.


• Generate clear and concise reports, maps, and visualizations of findings for technical and non-technical audiences.


• Collaborate virtually with agronomists, data scientists, and other stakeholders to translate data insights into practical agricultural applications.


• Stay updated on the latest advancements in remote sensing technologies, algorithms, and their applications in agriculture.

Requirements

• A Master's degree or Ph.D. in Remote Sensing, GIS, Geography, Environmental Science, Agronomy, or a closely related field.


• Minimum of 5 years of professional experience in remote sensing data analysis, with a significant focus on agricultural applications.


• Proven expertise in using industry-standard remote sensing software and processing techniques.


• Strong programming skills in Python or R for data manipulation, analysis, and automation.


• Solid understanding of image processing principles, spectral signatures, and their relationship to agricultural parameters.


• Experience with various satellite platforms (e.g., Sentinel, Landsat) and aerial/drone imagery.


• Excellent analytical and problem-solving abilities, with meticulous attention to detail.


• Strong communication and collaboration skills, essential for a remote work environment.


• Ability to work independently, manage time effectively, and meet project deadlines without direct supervision.

Benefits

• This fully remote position offers a competitive salary, flexible working hours, home office stipend, comprehensive health benefits, and opportunities for professional growth and training in the rapidly evolving field of agricultural technology.

Our client values a results-driven culture and supports employee well-being.

Work from anywhere and contribute to the future of farming.