Aim: test a "system" of software and procedures that can provide data spread over the territory (via crowd sensing) on a web GIS platform using personal sensors experience of explorers.
Expected results: classification and analysis from Prisma and Sentinel remote sensing images, using data collected via crowd sensing and field sampling. Development of a Neural Networks-based approach to classify images and assess tree vegetation stress.