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@ARTICLE{Cogliati:892747,
      author       = {Cogliati, S. and Sarti, F. and Chiarantini, L. and Cosi, M.
                      and Lorusso, R. and Lopinto, E. and Miglietta, F. and
                      Genesio, L. and Guanter, L. and Damm, A. and Pérez-López,
                      S. and Scheffler, D. and Tagliabue, G. and Panigada, C. and
                      Rascher, U. and Dowling, T. P. F. and Giardino, C. and
                      Colombo, R.},
      title        = {{T}he {PRISMA} imaging spectroscopy mission: overview and
                      first performance analysis},
      journal      = {Remote sensing of environment},
      volume       = {262},
      issn         = {0034-4257},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2021-02304},
      pages        = {112499 -},
      year         = {2021},
      abstract     = {The PRISMA satellite mission launched on March 22nd, 2019
                      is one of the latest spaceborne imaging spectroscopy mission
                      for Earth Observation. The PRISMA satellite comprises a
                      high-spectral resolution VNIR-SWIR imaging spectrometer and
                      a panchromatic camera. In summer 2019, first operations
                      during the commissioning phase were mainly devoted to
                      acquisitions in specific areas for evaluating instrument
                      functioning, in-flight performance, and mission data product
                      accuracy. A field and airborne campaign was carried out over
                      an agriculture area in Italy to collect in-situ multi-source
                      spectroscopy measurements at different scales simultaneously
                      with PRISMA. The spectral, radiometric and spatial
                      performance of PRISMA Level 1 Top-Of-Atmosphere radiance
                      (LTOA) product were analyzed. The in-situ surface
                      reflectance measurements over different landcovers were
                      propagated to LTOA using MODTRAN5 radiative transfer
                      simulations and compared with satellite observations.
                      Overall, this work offers a first quantitative evaluation
                      about the PRISMA mission performance and imaging
                      spectroscopy LTOA data product consistency. Our results show
                      that the spectral smile is less than 5 nm, the average
                      spectral resolution is 13 nm and 11 nm (VNIR and SWIR
                      respectively) and it varies ±2 nm across track. The
                      radiometric comparison between PRISMA and field/airborne
                      spectroscopy shows a difference lower than $5\%$ for NIR and
                      SWIR, whereas it is included in the $2–7\%$ range in the
                      VIS. The estimated instrument signal to noise ratio (SNR) is
                      ≈400–500 in the NIR and part of the SWIR (<1300 nm),
                      lower SNR values were found at shorter (<700 nm) and longer
                      wavelengths (>1600 nm). The VNIR-to-SWIR spatial
                      co-registration error is below 8 m and the spatial
                      resolution is 37.11 m and 38.38 m for VNIR and SWIR
                      respectively. The results are in-line with the expectations
                      and mission requirements and indicate that acquired images
                      are suitable for further scientific applications. However,
                      this first assessment is based on data from a rural area and
                      this cannot be fully exhaustive. Further studies are needed
                      to confirm the performance for other land cover types like
                      snow, inland and coastal waters, deserts or urban areas.},
      cin          = {IBG-2},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2173},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000663567700005},
      doi          = {10.1016/j.rse.2021.112499},
      url          = {https://juser.fz-juelich.de/record/892747},
}