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
Required Skills:
A masters 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 professional with 1-2 years of relevant experience will be preferred. Knowledge/ experience in drone-based data processing and mapping would be an advantage
Skilled in Satellite Image Classification using Sentinel SAR & Optical data Planet Scope satellite data etc. along with time series analysisDemonstrated skills in Machine Learning classification-based pipeline development and optimizationSound knowledge of Google Earth Engine-based advanced programm...
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
Required Skills:
A masters 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 professional with 1-2 years of relevant experience will be preferred. Knowledge/ experience in drone-based data processing and mapping would be an advantage