The MAFIS project will develop and demonstrate at pre-operational level a service aimed at providing consistent and statistically reliable information on forests, by combining multi-spectral satellite data and SAR data, to monitor natural and planted forests growth and forest losses due to human activities or to natural phenomena. The project will develop a specific methodology …
Educational materials from the IV ESA EARSEL CNR School: Remote Sensing for Forest Fires held in Rome, Italy, on 3-5 October 2019. Download specific blocks here below or access the full theory and practicals from the window left side link. Introduction to ESA EO Programme and to ESA CCI Programme in the context of Fire (Stephen …
The F-TEP serves commercial, governmental and research users in the forestry sector. It enables easy access to satellite data from any global location. The platform offers on-line processing services and tools to generate value-added forest information products. Via the platform, the users can also create and share their own processing services, tools and products. The platform offers pre-processed optical and radar data from …
ESA, CNR and EARSeL organised a course dedicated to exploiting data from active and passive Earth Observation sensors for applications related to forest fires, and to discuss relevant research methods and technologies. The course was held on the occasion of the workshop “12th EARSeL Forest Fires SIG Workshop” (3-5 October 2019, Rome, Italy). The programme …
A range of EO based prototype capabilities have been developed and tested in relation to the implementation of REDD+. With the launch of Sentinel-1A/B and Sentinel-2A/B, a new era of frequent coverage of the earth surface by high resolution (HR) satellite imagery was initiated. Together with the Landsat and other satellite missions, it is now …
Interferometric (InSAR) short-time-series of Sentinel-1 SAR data acquired over central Europe were exploited in a new approach for the generation of large-scale thematic maps. Temporal features, extracted from the evolution of the interferometric coherence, together with backscatter, were used as input for a machine learning-based classifier. Three land cover classes were extracted: artificial surfaces, forests, …
Educational materials from the Trans-Atlantic Training 2019 (TAT-7) held in Novi Sad, Serbia, on 20-24 June 2019. Download specific blocks here below or access the full theory and practicals from the window left side link. Introduction to ESA EO Missions (focus on SAR missions), F. Sarti (554 MB) Reminders of SAR Theory and SAR …
The purpose of the series of Trans-Atlantic Training (TAT) courses is to disseminate and discuss research methods and technologies from space. It is organised jointly by ESA, NASA and Charles University of Prague. This training was the seventh in the series of TAT courses. This edition focused on Earth Observation from optical and radar sensors …
The Science and Applications with Sentinel-2 special issue of Remote Sensing of Environment has been completed with the last paper published on 5 April 2019. It features a selection of 28 key papers covering a wide range of new applications monitoring natural and human-induced dynamic processes up to national and even continental scale at high-resolution. …
The main objective of this R&D activity is to develop and validate novel methodologies for Land EO products based on the joint exploitation of Sentinel-1A SAR data and Sentinel-2A optical imagery. The outcome of the activity is intended to be the prototype implementation of a new change detection methodology for land cover and agricultural monitoring …
