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Main Projects

EC Copernicus Global Land Service (CGLOPS1) (2017-2020)

The Copernicus Global Land Service (CGLS) is a component of the Land Monitoring Core Service (LMCS) of  Copernicus, the European flagship programme on Earth Observation. The Global Land Service systematically produces a series of qualified bio-geophysical products on the status and evolution of the land surface, at global scale and at mid to low spatial resolution, complemented by the constitution of long term time series. The products are used to monitor the vegetation, the water cycle, the energy budget and the terrestrial cryosphere.

Since 2013 the Copernicus Global Land Service delivers geo-biophysical products at global scale with a typical frequency of 10-days.

Tasks:

  • Scientific Quality Assessment and Quality Monitoring of Global Land vegetation, albedo and TOC reflectance products.

Copernicus Global Land Service | Home

EC Copernicus Climate Change Service (C3S) 

 

The Copernicus Climate Change Service (C3S) is still in the development phase and will combine observations of the climate system with the latest science to develop authoritative, quality-assured information about the past, current and future states of the climate in Europe and worldwide

 

Lot 5 (2018 – 2012) Tasks:

  • Scientific Quality Assessment of Climate Data Records of Surface Albedo, LAI and FAPAR Essential Climate Variables, derived from VGT, PROBA-V, and Sentinel-3.

COP_059 (2020) Tasks:

  • Development and validation of surface albedo based on Sentinel-3.

EUMETSAT Land Surface Analysis Satellite Applications Facility CDOP 3 (2017-2022)

Land-SAF is aimed to provide in near real time geobiophysical variables from EUMETSAT satellites. The main objective in CDOP-3 is to operate current MSG and EPS/AVHRR products, and to prepare the transition to Meteosat Third Generation (MTG).

 Tasks:

  • Technical assistance to the University of Valencia for developing of retrieval methodologies and its validation.
  • Quality assessment of NDVI products based on Surface Albedo.

 

Fiducial Reference Measurements for Vegetation (FRM4VEG) (2017-2022)

The overall aim of this project is to support the initial validation of Copernicus vegetation-related products from Sentinel-3 (FAPAR, OTRCI and SYN),  Sentinel-2 (L2A) and PROBA-V (S1 TOC 100m), as well as proposing the methodologies for the definition of the required Fiducial Reference Mesurements (FRM). See video of the project.

This project is an early development stage that ultimately provides confidence to users in their application of satellite derived vegetation products, as a result of increased confidence in core products from using a consistent and SI traceable set of independent in-situ measurements.

Tasks:

Phase 1:

    • Campaign Execution.
      • Predeployment calibrations.
      • Instrument intallation.
      • Initial verification.
      • Execute field campaigns with in-situ ground and airborne measurements.
    • Campaign data processing and delivery.
      • Process and quality control the campaign data following documented FRM procedures to approve their use for satellite validation.

Phase 2:

    • The planning, preparation and execution of one round robin inter-comparison exercise.
      • To bring together several validation teams.
      • Discussion on instruments calibration, sites characterization, FRM protocols, upscaling, etc.
      • Achieving a common understanding and agreement on FRM protocols and procedures.
    • Selection of two sites in Europe and definition of a set-up plan for systematic FRM FAPAR measurements over permanent sites, to make them become part of the network of Land Products Validation Supersites, as defined by CEOS WGCV LPV.

 

High Resolution Vegetation Phenology and Productivity Monitoring (HR-VPP).

The High Resolution Vegetation Phenology and Productivity (HR-VPP) Monitoring is a component of the Copernicus Land Monitoring Service. It includes the implementation, operation, delivery and promotion of the HR-VPP component on behalf of the European Environment Agency (EEA) and in accordance with predefined end user requirements. The products include raw daily Vegetation Indices (e.g. NDVI, LAI, FAPAR) and yearly Seasonal Trajectories and Phenology/Productivity parameters. Their prime use is for ecosystem analysis and to provide input to a wide range of other derived services (land cover mapping, crop monitoring, etc.).

 Tasks:

  • To provide and performance an independent internal thematic validation.

 

Other Projects

The main objective of AGRISEN-123 is to create an efficient crop management tool from the estimation of biophysical and thermodynamic variables of the vegetation and the crop classification, by means of the synergistic use of satellite Sentinel 1, 2 and 3. Important issues as the hydrological or recovering needs of the crops at high spatiotemporal frequency will be addressed in this project.

Tasks:

  • Collection of ground and satellite data.
  • Generation of algorithms to estimate biophysical and thermodynamic variables, and crop classification.
  • Implementation of a crop management tool regarding hydrological or recovering needs of the crops.

This project will take place in the EOLAB installation, in the 2019-2022 period, with a budget of 189.652 €, supported with CDTI and FEDER funds.

CULTISAT is aimed to discriminate and classify crops using high spatial resolution Sentinel-2 satellite data. It was co-financed by the Valencian Insitute of Business Competitiveness (IVACE) with FEDER funds from the European Union.

Tasks:

  • Collection of satellite Sentinel-2 images and ground data with dedicated field campaigns.
  • Implementation and comparison of machine learning methods for the classification of different                                                                              types of crops.
  • Monitoring crop discrimination and classification of different agricultural areas over Barrax (Albacete) and mainly over Moncada (Valencia).

Main results:

Monthly field campaigns were carried out over Moncada (Valencia) during the end of 2019-and almost all 2020,  with the inventorying of more than 100 different types of crops. Also, in 2019 a campaign in Barrax (Albacete) was conducted to alternatively classify crops, different of Moncada (Valencia).

After the study of several machine learning methods, Random Forest (RF) method has achieved the best results with correlations higher than 0.98 and being the most robust method.

Final results of CULTISAT show plausible monthly maps for crop discrimination and preferable crop classification every 3 months.

The main objective of SEN2MED is to estimate the existence of biomass and the Carbon capture and storage by the forest trees (mostly Pinus Halepensis), to improve the current forest management tools regarding the fire risk prevention and decreasing the risks inherent to the climate change. This objective is achieved by using high spatial resolution Sentinel-2, improved with LiDAR flights carried out by the PNOA. This project has been co-financed by the Valencian Institute of Business Competitiveness (IVACE) with FEDER funds from the European Union.

Tasks:

  • Collection of ground and satellite data.
  • Generation of algorithms to estimate biomass and Carbon storage
  • Comparison of machine learning methods for the estimation of biomass and Carbon storage.
  • Forest analysis (validation with reference inventories).

Main results:

Two field campaigns were carried out over Lliria and Enguera (Valencia) during the 2018 year sampling dendrometric variables for different forest structures.

After the study of several machine learning methods, Gaussian Process Regression (GPR) method has achieved the best results with correlations higher than 0.88, combining the band 8A and the NDVI product of Sentinel-2.

A biomass and Carbon storage maps were obtained as results of SEN2MED, which showed the commercial potential of this project for the private sector, since is the owner of the 90% of Mediterranean.

SECUSEN2 is aimed to estimate biophysical variables for crop monitoring using high spatial resolution Sentinel-2 and Landsat-8 satellite data. It was co-financed by the Valencian Institute of Business Competitiveness (IVACE) with FEDER funds from the European Union.

Tasks:

  • Collection of ground data.
  • Comparison of machine learning methods for the estimation of biophysical variables.
  • Crop monitoring of different agricultural areas.

Main results:

  • Three campaigns were carried out over Moncada (Valencia) during the 2017 year with more than 15 different types of crops. Also, in 2018 a campaign in Barrax (Albacete) was conducted.
  • After the study of several machine learning methods, Gaussian Process Regression (GPR) method has achieved the best results with correlations higher than 0.8 and being the most robust method.
  • Temporal profiles of LAI, FAPAR and FCOVER over three different agricultural areas have been studied and validated with recent ground measurements.
  • The final results of SECUSEN2 show the commercial viability and the evolution of this project is plausible so next steps could be to include meteorological data and a web viewer to better visualize the satellite information.

EC Copernicus Climate Change Service (C3S) Lot 9 (2016-2018)

The Copernicus Climate Change Service (C3S) is still in the development phase and will combine observations of the climate system with the latest science to develop authoritative, quality-assured information about the past, current and future states of the climate in Europe and worldwide.

Tasks:

  • Scientific Quality Assessment of Climate Data Records of Surface Albedo, LAI and FAPAR Essential Climate Variables.

Current state:

  • Albedo version v0, v1 (AVHRR, SPOT-VGT and PROBA-V) available via link
  • LAI/FAPAR version v0, v1 (AVHRR, SPOT-VGT and PROBA-V) available via link

EUMETSAT Land Surface Analysis Satellite Applications Facility CDOP-2 (2012-2017). Land-SAF is aimed to provide in near real time geobiophysical variables from EUMETSAT satellites. The main objective in CDOP-2 is to develop global products from EPS/AVHRR data.

Tasks:

  • Technical assistance to the University of Valencia for developing of retrieval methodologies and its validation.

FP7 Implementation of multi-scale agricultural indicators exploiting Sentinels (2013-2014). The objective of ImagineS project is to prepare processing lines for PROBA-V and Sentinels data for retrieval of biophysical variables and agricultural indicators within Copernicus Global Land Service.

Tasks:

    • User Interface.
    • Collection of ground data.
    • Generation of empirical high resolution maps.
    • Scientific Validation of vegetation and albedo products.
  • Training activities.

EC Copernicus Global Land Service (GIO-GL) (2013-2017). Since 2013 the Copernicus Global Land Service delivers geo-biophysical products at global scale with a typical frequency of 10-days.

Tasks:

    • Scientific Quality Assessment and Quality Monitoring of Global Land vegetation, albedo and TOC reflectance products.
  • User support and training activities.

Copernicus User Uptake (2013-2014). In order to support the adoption of Copernicus services by user communities, several «User Uptake» activities funded by the European Commission were carried out in 2013 and 2014.

Tasks:

  • Support to the User Uptake of Copernicus Global Land products.

ESA Explotation of ESA campaigns for Sentinel-2 Level2 Validation (VALSE-2) (2012-2013). VALSE-2 was aimed to validate algorithms for retrieving biophysical variables from Sentinel-2 like data.

Tasks:

    • Analysis of  ground data in ESA field campaigns.
  • Validation of S2 prototype algorithms to retrieve biophysical (LAI, FAPAR, Water Content, Ch) parameters.

FP7 geoland-2 (Towards an Operational Land Monitoring Core Service) (2008-2012). Geoland2 was carried out in the context of the GMES, which aims to build up a European capacity for Global Monitoring of Environment and Security.

Tasks:

  • Scientific validation of radiation (DSSF, albedo) and vegetation (LAI, FAPAR, FCover) global products.

EUMETSAT Land Surface Analysis Satellite Applications Facility CDOP (2008-2012). Land-SAF is aimed to provide in near real time geobiophysical variables from EUMETSAT satellites.

 Tasks:

  • The upgrade of vegetation variables (mainly FAPAR) from MSG composite products and preparation for EPS/METOP data, its continuous scientific validation and the promotion among operational users

ESA SEN3EXP (2009). The SEN3EXP ESA Campaign provide a comprehensive dataset based on airborne hyperspectral measurements, satellite data from ENVISAT MERIS and AATSR as wel as from other space platforms, and correlative ground measurements. See SEN3EXP Final Report.

Tasks:

    • Ground data acquisition of vegetation variables (LAI, FAPAR, FCover and plant water content) during the Barrax campaign.
    • Generation of empirical high resolution maps.
  • Radiative transfer model and artificial neural networks methods were used for retrieval of biophysical variables from CHRIS/PROBA data.

CICYT (Spain) ARTEMIS (2009-2012).

Tasks:

  • EOLAB has developed the FAPAR product based on MODIS data at 500m. The algorithm relies on the inversion of a heterogeneous canopy radiative transfer model (4SAIL2) coupled with PROSPECT for the leaves.

CICYT (Spain) MIDAS.5 (2008-2010)

Tasks:

  • Characterization of the vegetation canopy water content (CWC) over the Utiel-Requena SMOS validation area.

FP6 Vegetation for Africa (2006). VGT4Africa was a FP6 SSA project, with the objective to assuring of the distribution in real time of biophysical products based on VGT data in support of sustainable development policies in Africa and the AMESD program.

 Tasks:

  • Technical assistance for the FCover product with SPOT/VGT data.

EUMETSAT Land Surface Analysis Satellite Applications Facility IOP (2006-2008). Land-SAF is aimed to provide in near real time geobiophysical variables from EUMETSAT satellites.

 Tasks:

  • EOLAB was in charge of developing the FAPAR product based on MSG/SEVIRI data for Land-SAF. The prototype was calibrated against similar FAPAR products (MODIS, CYCLOPES,POLDER, MERIS) and implemented.

CICYT (Spain) MIDAS.4 (2006)

Tasks:

  • Characterization of LAI, FVC and FAPAR over the Utiel-Requena SMOS validation area.
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