The FLUχPEC project is organized in four different Work Packages (WP). A brief summary of the main methodological issues covered for each of these WP follows.

  • WP1. Ground data collection: spectral measurements (optical, thermal, lidar), eddy covariance and biophysical variables: Ground data collection is a key issue in this project both to understand relations between biophysical parameters, fluxes and radiometric data and also to up-scale  this information from the field to remote sensors.

    • Optical information of the ecosystem components will be acquired using different approaches, ranging from handheld field spectroscopy campaigns (including sun induced fluorescence measurements) to  continuous automated multi-angular acquisitions. These data will provide information about the physiological and biochemical status and productivity of vegetation.
    • Multiangular temperature  measurements of the different components of the ecosystem will be acquired using thermal sensors to estimate the energy fluxes.
    • Terrestrial Lidar Scanner (TLS) will provide accurate information of the ecosystem structure, and its changes along the phenological stages.
    • Biophysical variables of vegetation will be sampled. This data will be used for model calibration and validation.
    • Continuous micrometeorological measurements will quantify the fluxes in the ecosystem.
  • WP 2. Models to estimate carbon and water fluxes using spectral data: Physical (Radiative Transfer based) as well as empirical models will be calibrated and validated to estimate carbon an water fluxes from ground observations as a base for later remote estimations.

    • Carbon fluxes will be modeled using different approaches including vegetation spectral indexes and light use efficiency models.
    • Water fluxes will combine optical and thermal information with meteorological information using empirical and physical models.
  • WP3. Upscaling ground observations using UAV, airborne and satellite imagery: Spectral information will be acquired from remote sensors at different spatial resolutions, allowing to understand the effects of ecosystem structure across the upscaling.

    • High spatial-spectral resolution imagery will be acquired from UAVs and airborne sensors, allowing to separately observe the different elements of the ecosystem in intensive campaigns.
    • Images with coarser spatial resolution but higher temporal resolution will be acquired from remote platforms providing information in the optical, thermal and also RADAR domains.
  • WP 4. Monitoring and analyzing the dynamics of change in water and carbon fluxes through proximal and remote sensing: Information generated in previous WPs will allow analyzing the fluxes dynamics and its estimates at different temporal scales

    • Daily: Using the continuous optical, thermal and micrometeorological systems, and high temporal resolution imagery.
    • Seasonally: Using periodical field campaigns and imagery acquired at different scales.
    • Historically: Using EC and satellite imagery time series.