Landscape Alliance (the Center for International Forestry Research (CIFOR) and the International Centre for Research in Agroforestry (ICRAF))
Geospatial Analyst
Be an Early Applicant
Performs satellite image classification and time series analysis using Sentinel and PlanetScope data. Develops and optimizes machine learning pipelines, Google Earth Engine applications, geospatial models, predictive models, decision-support tools, and dashboards. Coordinates ground-truth data collection with field staff, supports stakeholder engagement, and prepares reports, research papers, and communications.
- 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
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What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
