APPROACH

• 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.