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Main Projects

EC Copernicus Global Land Service (CGLOPS1) (2017-2021)

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.

EC Copernicus Climate Change Service (C3S) Lot 5 (2018-2021)

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, derived from VGT, PROBA-V, and 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.

Fiducial Reference Measurements for Vegetation (FRM4VEG) (2017-2018)

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:

    • 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.

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, which has been co-financed by the Centro para el Desarrollo Tecnológico Industrial (CDTI).

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.

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 (SPOT-VGT and PROBA-V) available via link
  • LAI/FAPAR version v0, v1 (SPOT-VGT and PROBA-V) available via link
  • Products from AVHRR v1 are not yet available (currently being evaluated)

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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