• Medientyp: E-Book
  • Titel: Towards fiducial reference data at San Rossore site for Copernicus / European Commission, Joint Research Centre
    Part 1, Gap analysis for virtual scene / Urraca Valle, R., Lanconelli, C., Arriga, N., Marioni, M., Gobron, N. ; European Commission, Joint Research Centre
  • Beteiligte: Urraca Valle, Ruben [Verfasser:in]; Lanconelli, Christian [Verfasser:in]; Arriga, Nicola [Verfasser:in]; Marioni, Mirko [Verfasser:in]; Gobron, Nadine [Verfasser:in]
  • Körperschaft: Europäische Kommission, Gemeinsame Forschungsstelle
  • Erschienen: Luxembourg: Publications Office of the European Union, 2024
  • Erschienen in: Towards fiducial reference data at San Rossore site for Copernicus / European Commission, Joint Research Centre ; 1
    EUR ; 31852
  • Umfang: 1 Online-Ressource (50 Seiten); Illustrationen
  • Sprache: Englisch
  • DOI: 10.2760/377386
  • ISBN: 9789268128671
  • Identifikator:
  • Verlags-, Produktions- oder Bestellnummern: Sonstige Nummer: KJ-NA-31-852-EN-N
  • Schlagwörter: forest conservation ; ecosystem ; environmental monitoring ; air quality ; data collection ; forest ; terrestrial ecosystem ; Italy ; research report
  • Entstehung:
  • Anmerkungen: Literaturverzeichnis: Seite 42-45
  • Beschreibung: This technical report summarizes the results of a gap analysis aimed to identify the measurements needed to parameterize a 3D virtual model of a a stone pine dominated Mediterranean forest (Tuscany, Italy), hosting the Integrated Carbon Observation System (ICOS) San Rossore 2 (IT-SR2) ecosystem station. The virtual scene is needed to perform radiative transfer model simulations to support the calibration and validation of Copernicus bio-geophysical products. The investigation identified a valuable dataset characterizing the forest such as the diameter breast height (DBH), tree height and location, tree species, Basal Area, and foliage sampling. These information, summarized by proper allometric equation, combined with tree model databases, and high resolution remote sensing products from Sentinel-2 Multispectral Imager (MSI) will allow us to implement a semi-parametric model of the canopy in 2024. The main gap concerned the spectral reflectance and transmittance of leaves, surface and wooden components. Any further structural information from modern forest sampling, such as Terrestrial Laser Scanner (TLS), would contribute to evolve the model from a parametric to a fully empirical level. Finally, the study proposes different solutions to minimize the mismatch between satellite and in-situ observations: using radiative transfer simulations for up-scaling and reconciling satellite and in-situ variables (LAI and FAPAR), installing additional sensors (diffuse irradiance, bottom-of-canopy PAR) or developing uncertainty budgets.
  • Zugangsstatus: Freier Zugang
  • Rechte-/Nutzungshinweise: Namensnennung (CC BY)