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Mostrando ítems 1-3 de 3

    • A comparison between support vector machine and water Cloud model for estimating crop leaf area index 

      Hosseini, Mehdi; McNairn, Heather; Mitchell, Scott; Robertson, Laura Dingle; Davidson, Andrew; Ahmadian, Nima; Bhattacharya, Avik; Borg, Erik; Conrad, Christopher; Dabrowska Zielinska, Katarzyna; De Abelleyra, Diego; Gurdak, Radoslaw; Kumar, Vineet; Kussul, Nataliia; Mandal, Dipankar; Rao, Y.S.; Saliendra, Nicanor; Shelestov, Andrii; Spengler, Daniel; Veron, Santiago Ramón; Homayouni, Saeid; Becker Reshef, Inbal (MDPI, 2021-04-01)
      The water cloud model (WCM) can be inverted to estimate leaf area index (LAI) using the intensity of backscatter from synthetic aperture radar (SAR) sensors. Published studies have demonstrated that the WCM can accurately ...

    • Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2 

      Bontemps, Sophie; Arias, Marcela; Cara, Cosmin; Dedieu, Gérard; Guzzonato, Eric; Hagolle, Olivier; Inglada, Jordi; Matton, Nicolas; Morin, David; Popescu, Ramona; Rabaute, Thierry; Savinaud, Mickael; Sepulcre, Guadalupe; Valero, Silvia; Ahmad, Ijaz; Bégué, Agnès; Wu, Bingfang; De Abelleyra, Diego; Diarra, Alhousseine; Dupuy, Stéphane; French, Andrew; Akhtar, Ibrar ul Hassan; Kussul, Nataliia; Lebourgeois, Valentine; Le Page, Michel; Newby, Terrence; Savin, Igor; Veron, Santiago Ramón; Koetz, Benjamin; Defourny, Pierre (MDPI, 2015-12)
      Developing better agricultural monitoring capabilities based on Earth Observation data is critical for strengthening food production information and market transparency. The Sentinel-2 mission has the optimal capacity for ...

    • Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity 

      Waldner, François; De Abelleyra, Diego; Veron, Santiago Ramón; Zhang, Miao; Wu, Bingfang; Plotnikov, Dmitry; Bartalev, Sergey; Lavreniuk, Mykola; Skakun, Sergii; Kussul, Nataliia; Le Maire, Guerric; Dupuy, Stéphane; Jarvis, Ian; Defourny, Pierre (Informa UK Limited, 2016)
      Accurate cropland information is of paramount importance for crop monitoring. This study compares five existing cropland mapping methodologies over five contrasting Joint Experiment for Crop Assessment and Monitoring (JECAM) ...