• openAccess   Downstream Services for Rice Crop Monitoring in Europe: From Regional to Local Scale 

      Busetto, Lorenzo; Casteleyn, Sven; Granell, Carlos; Pepe, Monica; Barbieri, Massimo; Campos-Taberner, Manuel; CASA, Raffaele; Collivignarelli, Francesco; Confalonieri, Roberto; Crema, Alberto; García Haro, Francisco Javier; Luca Gatti; Gatti, Luca; Gitas, Ioannis; González-Pérez, Alberto; Grau Muedra, Gonçal Andreu; Guarneri, Tommaso; Holecz, Francesco; Katsantonis, Dimitrios; Minakou, Chara; Miralles, Ignacio; Movedi, Ermes; Nutini, Francesco; Pagani, Valentina; Palombo, Angelo; DI Paola, Francesco; Pascucci, Simone; Pignatti, Stefano; RAMPINI, ANNA; Ranghetti, Luigi; Ricciardelli, Elisabetta; Romano, Filomena; Stavrakoudis, Dimitris; STROPPIANA, DANIELA; VIGGIANO, MARIASSUNTA; BOSCHETTI, MIRCO Institute of Electrical and Electronics Engineers (IEEE) (2017-04)
      The ERMES agromonitoring system for rice cultivations integrates EO data at different resolutions, crop models, and user-provided in situ data in a unified system, which drives two operational downstream services for rice ...
    • openAccess   Remotely Sensed Data Fusion for Spatiotemporal Geostatistical Analysis of Forest Fire Hazard 

      Sakellariou, Stavros; Cabral, Pedro; Caetano, Mario; Pla, Filiberto; Painho, Marco; Christopoulou, Olga; Sfougaris, Athanassios; Dalezios, Nicolas; Vasilakos, Christos MDPI (2020)
      Forest fires are a natural phenomenon which might have severe implications on naturaland anthropogenic ecosystems. Future projections predict that, under a climate change environment,the fire season would be lengthier with ...
    • openAccess   Unsupervised Remote Sensing Image Retrieval Using Probabilistic Latent Semantic Hashing 

      Fernandez-Beltran, Ruben; Demir, Begüm; Pla, Filiberto; Plaza, Antonio Institute of Electrical and Electronics Engineers (2020-02-06)
      Unsupervised hashing methods have attracted considerable attention in large-scale remote sensing (RS) image retrieval, due to their capability for massive data processing with significantly reduced storage and computation. ...
    • openAccess   W-NetPan: Double-U network for inter-sensor self-supervised pan-sharpening 

      Fernandez-Beltran, Ruben; Fernandez-Botran, Rafael; kang, jian; Pla, Filiberto Elsevier ScienceDirect (2023-02-08)
      The increasing availability of remote sensing data allows dealing with spatial-spectral limitations by means of pan-sharpening methods. However, fusing inter-sensor data poses important challenges, in terms of resolution ...