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





• A master's degree or above in remote sensing, geoinformatics, NRM, and spatial data science is required, with proven ability to conduct highly complex analytical tasks.

• Excellent understanding of Remote Sensing and Geoinformatics principles.

Knowledge of IT tools will be an added advantage.

• Advanced computer programming skills in Google Earth Engine, JavaScript/Python, and R, along with knowledge of database technologies and data management.

• A fresher with excellent and relevant internship experience or a qualified with 1-2 years of relevant experience will be preferred.

• Knowledge/ experience in drone-based data processing and mapping would be an advantage

Required Skill Profession

Other General

📌 Geospatial Analyst (New Delhi)
🏢 Landscape Alliance
📍 New Delhi