›IV ESA EARSEL CNR School: Remote Sensing for Forest Fires

Earth Observation has long been considered as a key tool for fire data, science, modelling, management, and monitoring. The most recent developments in computer technology, data processing, artificial intelligence (AI), deep learning approaches, and geospatial data mining techniques enable advanced dynamic modelling, tools, data integration, and assimilation schemes. They are expected to significantly support and improve fire science and operational applications. Recently, the availability of new sensors from satellite, aerial, drone, and ground, along with the free access to large archives of data, has opened new perspectives for both fire science and applications.

The purpose of this course is to disseminate and discuss research methods and technologies of active and passive Earth Observation for applications related to forest fires. The course is held on the occasion of the workshop “Advances in Remote Sensing for Forest Fire” (3-5 October 2019, Rome, Italy).

The experts leading the course will focus on the use of optical and radar sensors for active fire mapping, burned area mapping, soil organic matter, soil moisture, fire emissions and time series analysis. The practicals will utilise Virtual Machines from RUS Copernicus, and will use a variety of data (Sentinel-1, Sentinel-2, Sentinel-3, Sentinel-5P) and software (e.g. SNAP, EOBrowser).

Applications are open for early career researchers, students, phD students and young professionals from European institutions and Canada with background in Remote Sensing and working in topics related to wildfire. Applicants from other countries are welcome to apply subject to availability of spaces

No participation fees will be charged for the training. Participants are expected to cover their own travel and accommodation costs.