Tag: Sentinel-2
Spatiotemporal SEN2VHR: Enhanced Spatiotemporal Land Change Monitoring Based on Sentinel-2 Time Series and VHR Images
Prime company: Mapradix s.r.o. (CZ)This project is building on the results of a precursor ESA activity (“Feasibility Study on Enhanced Land Resources Monitoring Based on Synergy use of Sentinel-2 TimeSeries and VHR Images” (SEN2VHR).”). The precursor proved the technical feasibility of combining Sentinel-2 time series with VHR images. An initial SEN2VHR value added product was designed and verified in …
Nemo-RBS: Nemo-HD Microsatellite for River Basin Scannings and Observations of SDG Hotspots
Prime company: Centre of Excellence for Space Sciences and Technologies (SPACE-SI) (SI)The Nemo-HD microsatellite was recently launched by SPACE-SI. This is a very agile multi-payload spacecraft that explores new EO concepts by combining multispectral imaging with video acquisitions for low latency and real-time EO services. In this project the remarkable capabilities of the Nemo-HD microsatellite will be applied to rapidly prototype new EO operations dedicated to …
BAMS-MAZOVIA: Built-up Areas Monitoring Service for Mazovia
Prime company: Geosystems Polska (PL)The project created a service platform providing reliable information on changes in built-up areas, derived from Sentinel-2 data in a fully automatic manner using image classification algorithms. These algorithms, selected for the tool, are successfully operated and validated in other Land Cover mapping activities conducted by the consortium partners. Results of the image classification contributed …
EO FOR YEMEN
Prime company: SISTEMA GMBH (AT)EO4YEMEN aims at exploring new technological and scientific approaches to overcome existing limitations and provide an effective support to NGO in Yemen for the planning and implementation of on-field operations. The focus is on: Super resolution algorithms applied to Sentinel-2 AI based Change detection Exploitation of new sources of satellite data ( VHR night times …
Earth Observation Training Data Lab (EO-TDL)
Prime company: EARTHPULSE SPAIN, SL (ES)One of the most limiting factors of ML and AI for EO applications is the scarcity of suitable and accessible training datasets. Currently, the main barrier is that the generation of such datasets is a time consuming and expensive process. Typically access to high quality training datasets is very restricted; in some cases, domain experts …
MAchine Learning Tool for Calibration of Hyperspectral data (MATCH)
Prime company: COSINE RESEARCH B.V. (NL)The project aims at the development of algorithms for cross-calibration of hyperscout with S-2 and the development of the phi-sat 1 brain for cloud detection. The team is assessing Machine Learning methodology, techniques, and a suite of applications (ranging from Radiometric calibration of a single band L2A data, Calibration of data products, e.g. NDVI or …
DFIS – Multispectral Imaging Data Fusion in Space
Prime company: SKYLABS D.O.O. (SI)The main objectives of the activity are: to develop and evaluate an approach to performing effective data fusion of multispectral data on-board satellites (SWIR imager of TRISAT mission). The focus of the activity was on identifying (in collaboration with downstream users) Regions-of-Interest, then developing image processing techniques (band selection, compression, fingerprinting and classification) that can …
AI4FOOD
Prime company: VLAAMSE INSTELLING VOOR TECHNOLOGISCH ONDERZOEK VITO (BE)An unprecedented richness of data is captured by satellites every day, resulting in an ever-growing time series of EO data. Despite the extensive availability of data, there are still many challenges when defining procedures for extracting relevant information from long time series. The goal of the AI4FOOD project is to tackle the challenges that arise …
2021 WorldCover product
One year ago, on 20 October 2021, the new baseline global land cover product at 10 m resolution, exploiting Sentinel-1 and Sentinel-2 data, showing 11 land cover classes with unprecedented detail, was launched. Last 28 October 2022, 9 months from the last data take, the global product with data from year 2021 was released. Read …