• openAccess   DAT-CNN: Dual Attention Temporal CNN for Time-Resolving Sentinel-3 Vegetation Indices 

      Ibáñez Fernández, Damián; Fernandez-Beltran, Ruben; Pla, Filiberto; Yokoya, Naoto IEEE (2022-03-22)
      The synergies between Sentinel-3 (S3) and the forthcoming fluorescence explorer (FLEX) mission bring us the opportunity of using S3 vegetation indices (VI) as proxies of the solar-induced chlorophyll fluorescence (SIF) ...
    • openAccess   Masked Auto-Encoding Spectral-Spatial Transformer for Hyperspectral Image Classification 

      Ibáñez Fernández, Damián; Fernandez-Beltran, Ruben; Pla, Filiberto; Yokoya, Naoto IEEE (2022-10-28)
      Deep learning has certainly become the dominant trend in hyperspectral (HS) remote sensing (RS) image classification owing to its excellent capabilities to extract highly discriminating spectral–spatial features. In this ...
    • openAccess   Mosaicado Multi-Temporal para Productos L2 de Sentinel 3/ FLEX 

      Ibáñez Fernández, Damián Universitat Jaume I (2020-10-08)
      El aumento de datos en el campo de Remote Sensing en los últimos años está abriendo el paso a retos de estudios y análisis globales que antes éramos incapaces de afrontar debido a la falta de información disponible. Debido ...
    • openAccess   Multitemporal Mosaicing for Sentinel-3/FLEX Derived Level-2 Product Composites 

      Ibáñez Fernández, Damián; Fernandez-Beltran, Ruben; Martínez Sotoca, José; Mollineda, Ramón A.; Moreno, Jose; Pla, Filiberto Institute of Electrical and Electronics Engineers (2020-09-24)
      The increasing availability of remote sensing data raises important challenges in terms of operational data provision and spatial coverage for conducting global studies and analyses. In this regard, existing multitemporal ...
    • closedAccess   SEN23E: A Cloudless Geo-Referenced Multi-Spectral Sentinel-2/Sentinel-3 Dataset for Data Fusion Analysis 

      Ibáñez Fernández, Damián; Fernandez-Beltran, Ruben; Pla, Filiberto IEEE (2022-07)
      The availability of geo-referenced coupled data of dif-ferent platforms is essential to train remote sensing (RS) multi-modal classification and bio-phyiscal parameter esti-mation learning methods. To properly develop a ...
    • openAccess   Time-Resolved Sentinel-3 Vegetation Indices Via Inter-Sensor 3-D Convolutional Regression Networks 

      Fernandez-Beltran, Ruben; Ibáñez Fernández, Damián; kang, jian; Pla, Filiberto Institute of Electrical and Electronics Engineers (2021-09-03)
      Sentinel missions provide widespread opportunities of exploiting inter-sensor synergies to improve the operational monitoring of terrestrial photosynthetic activity and canopy structural variations using vegetation indices ...