Tag: forestry
MULTI ACTOR FOREST INFORMATION SERVICE (MAFIS)
Prime company: GMATICS SRL (IT)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 …
ALBIOM (ALtimetry for BIOMass)
Prime company: DEIMOS SPACE UK LTD (GB)The ALBIOM project (ALtimetry for BIOMass) proposes to derive forest biomass using SAR Altimetry Data from the Copernicus Sentinel-3 (S3) Mission. Biomass is at present monitored globally using optical satellites, SAR and LiDAR technology, but it is still poorly quantified in most parts of the world, and the satellite data currently exploited for this purpose …
IV ESA EARSEL CNR School: Remote Sensing for Forest Fires
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 (S.Plummer/F.Sarti, …
Forestry exploitation platform (F-TEP)
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 …
IV ESA EARSEL CNR School: Remote Sensing for Forest Fires
Frascati, RM 00044 Italy
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 …
Innovator supporting developing countries in cloud based forest monitoring for REDD+
Prime company: GAF AG (DE)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 …
InSAR Short-Time-Series for Land Cover Classification
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, …
Trans-Atlantic Training 2019 (TAT-7): Radar and Optical Remote Sensing in the Agricultural and Environmental Monitoring
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 link on the left side window. Introduction to ESA EO Missions (focus on SAR missions), F. Sarti (554 MB) Reminders of SAR Theory …
Trans-Atlantic Training 2019 (TAT-7): Radar and Optical Remote Sensing in the Agricultural and Environmental Monitoring
Novi Sad, 21000 Serbia
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 the Charles University of Prague, in close cooperation with the Regional Information Network for Southern, Central and Eastern Europe (SCERIN). This training was the seventh in …