The Verde service uses the
The Overland Processor is the core element of Verde
Overland, how does it Work?
The
Overland and Verde
The Verde service uses publicly available imagery that best fits the Agriculture application, i.e. Sentinel 2A/2B and Landsat 8, as well as Airbus images (SPOT 6/7 and Pléiades 1a/1b) in order to improve spatial resolution and revisit.
The
As
Verde processing chain has been migrated to the Cloud (Google Cloud Platform) and can be triggered through
Refences
- Jacquemoud, S. & Baret, F. (1990). PROSPECT: A model of leaf optical properties spectra. Remote Sensing of Environment, 34, 75-91.
- Jacquemoud, S. & al. (2009). PROSPECT + SAIL models: A review of use for vegetation characterization. Remote Sensing of Environment, 113, S56-S66.
- Kneisys F.X., Abreu L.W., Anderson G.P., Chetwynd J.H, & al., (1995). The MODTRAN 2/3 and LOWTRAN 7 Model. Philips Laboratory, prepared by Ontar Corporation, North Andover (MA), 267 pp.
- Poilvé, H. (2010). BioPar Methods Compendium of MERIS FR Biophysical Products (report g2-BP-RP-038, EC geoland2 project FP-7-218795). Retrieved from ResearchGate website: https://www.researchgate.net/publication/265728093_geoland2_-_BioPar_Methods_Compendium_of_MERIS_FR_Biophysical_ProductsBioPar
- Verhoef, W. (1984). Light scattering by leaf layers with application to canopy reflectance modeling: the SAIL model. Remote Sensing of Environment, 16, 125-141.
- Verhoef, W. (1985). Earth observation modelling based on layer scattering matrices. Remote Sensing of Environment, 17, 165-178.
- Verhoef, W., & Bach, H. (2003). Simulation of hyperspectral and directional radiance images using coupled biophysical and atmospheric radiative transfer models. Remote Sensing of Environment, 87, 23–41.
Visit our biophysical parameters page to get the comprehensive list of research papers about this approach and its benefits:
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