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Citations since 2017
6 Research Items
Sen2-Agri is a software system that was developed to facilitate the use of multi-temporal satellite data for crop classification with a random forest (RF) classifier in an operational setting. It automatically ingests and processes Sentinel-2 and LandSat 8 images. Our goal was to provide practitioners with recommendations for the best sample size a...
The export of shrimps to the European Union was one of the mainstays of the Beninese economy. It is an income-generating activity for the populations living along Lake Nokoué. The lack of a fisheries management strategy has caused a drastic decline in shrimp’s production in Lake Nokoué since 2003. To remedy this problem, it is necessary to hypothes...
Background The export of shrimp to the European Union was one of the mainstays of the Beninese economy. It is an income-generating activity for the populations living along lake Nokoué. The lack of a fisheries management strategy has caused a drastic decline in shrimp production in lake Nokoué since 2003. To remedy this problem, it is necessary to...
A novel methodology is proposed to robustly map oil seed rape (OSR) flowering phenology from time series generated from the Copernicus Sentinel-1 (S1) and Sentinel-2 (S2) sensors. The time series are averaged at parcel level, initially for a set of 229 reference parcels for which multiple phenological observations on OSR flowering have been collect...
This report D11.2 “D41.1b Time Series Derived Indicators and Variables” constitutes methods developed and applied for the Work Package (WP) 41 of ECoLaSS Task 4 targeting filling the thematic gaps in the current Copernicus Land Service Portofolio of the phenology and Agriculture services. In particular, providing indicators and variables of high sp...
This Deliverable “D.44.1b – Prototype Report: Crop Area and Crop Status Parameters” is a deliverable of the WP 44 targeting capturing the phenology of the different crop types as well as the crop type mapping based on S-1 and/or S-2 time series.
an EU Horizon2020 project to develop several prototypes of new or enhanced Copernicus Land services making full use of dense time series of SAR and optical Sentinel EO data. These prototypes shall be suggested for qualifying as candidates for operational integration into the future Copernicus Land Monitoring Service from 2020 onwards.
The ECoLaSS project (Evolution of Copernicus Land Services based on Sentinel data) aims to develop methods and algorithms for pre-operational prototypes improving and developing future specific Copernicus Land services. These prototypes, representing new or improved Copernicus Land Cover and Land Use products, will be demonstrated by means of test/demonstrations sites distributed over Europe and Africa, representing multiple bio-geographic regions and biomes.