Fire Monitoring using spectral indices (Sentinel 1 and Sentinel 2);
● Compare the indices with other available Fire products (e.g., FireCCI51: MODIS Fire_cci Burned Area
Pixel Product, FIRMS: Fire Information for Resource Management System, and MCD64A1).
REQUIRED SKILLS & QUALIFICATIONS
● Currently pursuing a Bachelor’s or a Master’s degree in Science, Geography, Engineering,
Environmental studies or equivalent, or a professional certification in Geography, GIS, or Remote
Sensing;
● You have proven expertise in remote sensing data processing and geo-information systems;
● You have sound programming skills in Python, or R, or Google Earth Engine;
● Expertise in applying machine learning techniques on remote sensing data is an asset;
● Specific expertise in SAR Remote Sensing is an asset;
● Writing and presentation skills in English is key;
● Ability to process, analyze, and model data in geospatial software (e.g., QGIS, Esri ArcGIS);
● Excellent knowledge of Microsoft Word, Excel, and PowerPoint, working knowledge of Google Docs,
working knowledge of Microsoft Exchange;
● Attention to detail and a sense of responsibility;
● Good communication in English (written and spoken) and interpersonal skills.
OUR OFFER
● Be part of a motivated and highly skilled team in an international environment;
● Contribute to promoting Forest and Landscape Restoration;
● We provide a daily allowance to compensate for meal and homeworking expenses.