The Role
Perform satellite image classification and time-series analysis using Sentinel and PlanetScope data; build and optimize ML classification pipelines; develop Google Earth Engine apps and geospatial tools; apply advanced geospatial and hydrological modelling; coordinate ground-truth collection; produce reports, research papers, and decision-support dashboards; support stakeholder engagement.
Summary Generated by Built In
- Skilled
in Satellite Image Classification using Sentinel SAR & Optical data, Planet
Scope satellite data, etc., along with time series analysis
- Demonstrated
skills in Machine Learning classification-based pipeline development and
optimization
- Sound
knowledge of Google Earth Engine-based advanced programming, GEE app
development, Python, and/or R programming
- Understanding
of advanced geospatial modelling techniques (for suitability analysis,
hydrological modelling, watershed analysis, etc.). Skills in predictive
modeling using satellite data-derived features and field data.
- Understanding
of geospatial tools development
- Sound
knowledge of ground truth data collection and coordination skills with field
staff
- Excellent
skills in report writing, research paper writing, and short communication writing
Duties and Other Responsibilities
- Contribute to stakeholder engagement events
- Contribute to decision support tools and dashboard development
Skills Required
- Satellite image classification using Sentinel SAR and optical data, PlanetScope, and time series analysis
- Machine learning classification pipeline development and optimization
- Advanced Google Earth Engine programming and GEE app development
- Python and/or R programming
- Advanced geospatial modelling techniques (suitability analysis, hydrological modelling, watershed analysis) and predictive modeling using satellite-derived features
- Geospatial tools development
- Ground truth data collection and coordination with field staff
- Report writing, research paper writing, and short communication writing
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The Company
What We Do
CIFOR-ICRAF is a collaborative research organization and a global leader in using trees, forests, and agroforestry to tackle global challenges such as climate change, biodiversity loss, food insecurity, and inequality, by enhancing landscape resilience.
