Abstract

Abstract. The Horizon 2020 project ECoLaSS (Evolution of Copernicus Land Services based on Sentinel data) contributes to improving existing and developing next-generation Copernicus Land Monitoring Service (CLMS) products. The High Resolution Layers (HRLs) are currently produced in regular 3-year intervals at 10–20 meter spatial resolution for 39 European countries (EEA 39). Evolving scientific developments and user requirements are continuously analysed in a close stakeholder interaction process with the European Entrusted Entities (EEE), targeting a future pan-European roll-out of new/improved CLMS products and assessing transferability to global applications. Products and methods are being prototypically demonstrated. Representative sites (60,000–90,000 km2) were selected, covering boreal, Mediterranean, steppic, Atlantic, alpine and continental conditions. Improvements comprise yearly updates of enhanced dominant leaf types and tree cover change layers, better-quality permanent grassland classification and use categorisation. Novel products target agriculture products (i.e., crop mask, crop types). Temporal analysis, based on optical (Sentinel-2) and SAR (Sentinel-1) satellite data, makes use of temporal feature descriptors (multiple temporal statistical metrics) derived from spectral bands and indices (e.g., VV/VH ratio and NDVVVH from SAR data and NDWI, NDVI, Brightness and IRECI from optical data). Overall accuracies range from 77–98%. Rigorous benchmarking is applied to assess the prototypes’ operational readiness and technical maturity for integration into the CLMS architecture.

Highlights

  • The Copernicus Programme, managed and coordinated by the European Commission (EC) and implemented in partnership with the European Space Agency (ESA), member states and various EU agencies, offers services mainly based on Earth Observation (EO) data provided by ESA through the Copernicus Space Component

  • Synthetic Aperture Radar (SAR) temporal features derived from the VH polarisation (e.g. VH_p025, VH_p010) turned out to have a high importance in the tree cover detection followed by features derived from the Sentinel-2 bands B02 and B03 as well as NDVI and NDWI features

  • In ECoLaSS, a multi-stage sampling approach has been applied: automatic reference sampling based on a sampling layer generated from the High Resolution Layers (HRLs) 2015, outlier detection with visual/statistical validation of the samples and split of the sample dataset into training and validation dataset, initial classification and re-sampling based on an analysis of omission and commission errors with subsequent iteration loops

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Summary

Introduction

The Copernicus Programme, managed and coordinated by the European Commission (EC) and implemented in partnership with the European Space Agency (ESA), member states and various EU agencies, offers services mainly based on Earth Observation (EO) data provided by ESA through the Copernicus Space Component. Complementing the operational-phase implementation, the Horizon 2020 project ECoLaSS (Evolution of Copernicus Land Services based on Sentinel data) is being conducted from 2017–2019 and aims at developing and prototypically demonstrating selected innovative products and methods as candidates for future next-generation operational Copernicus Land Monitoring Service (CLMS) products of the pan-European and Global Components, assessing the operational readiness of such candidate products and suggesting an implementation schedule. This shall enable the key CLMS stakeholders (i.e. mainly the Entrusted European Entities (EEEs) EEA and JRC) to take informed decisions on potential procurement as (part of) the generation of Copernicus Land services from 2020 onwards. The EEEs published some of the generation HRLs products and services specifications, which include improved product provisions, production timeliness, etc

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