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Handling heterogeneous bipolar information for modelling environmental syndromes of global change., , , , , and . Environ. Model. Softw., (2012)Integration of Optical and SAR Data for Burned Area Mapping in Mediterranean Regions., , , , , , , , and . Remote. Sens., 7 (2): 1320-1345 (2015)Downstream Services for Rice Crop Monitoring in Europe: From Regional to Local Scale., , , , , , , , , and 25 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (12): 5423-5441 (2017)Analysis and Interpretation of Spectral Indices for Soft Multicriteria Burned-Area Mapping in Mediterranean Regions., , , and . IEEE Geosci. Remote. Sens. Lett., 6 (3): 499-503 (2009)Modeling Environmental Syndromes with Distinct Decision Attitudes., , , , , and . IPMU (1), volume 297 of Communications in Computer and Information Science, page 121-129. Springer, (2012)A Spatial Data Infrastructure Integrating Multisource Heterogeneous Geospatial Data and Time Series: A Study Case in Agriculture., , , , , , , and . ISPRS Int. J. Geo Inf., 5 (5): 73 (2016)An algorithm for mapping burnt areas in Australia using SPOT-VEGETATION data., , , and . IEEE Trans. Geosci. Remote. Sens., 41 (4): 907-909 (2003)Knowledge and Data-Driven Mapping of Environmental Status Indicators from Remote Sensing and VGI., , , , and . Remote. Sens., 12 (3): 495 (2020)Agricultural crop mapping using optical and SAR multi-temporal seasonal data: A case study in Lombardy region, Italy., , , , , and . IGARSS, page 1489-1492. IEEE, (2014)Rice yield estimation using multispectral data from UAV: A preliminary experiment in northern Italy., , , , , , and . IGARSS, page 4664-4667. IEEE, (2015)