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Reducing the Influence of Soil Moisture on the Estimation of Clay from Hyperspectral Data: A Case Study Using Simulated PRISMA Data.

, , , , , and . Remote. Sens., 7 (11): 15561-15582 (2015)

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Karst water resources detection through airborne thermal data: MIVIS and TASI-600 imagery., , , , , and . IGARSS, page 4550-4553. IEEE, (2013)A Comparison between Standard and Functional Clustering Methodologies: Application to Agricultural Fields for Yield Pattern Assessment., , , , , , and . Remote. Sens., 10 (4): 585 (2018)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)Assessment of the abnormal growth of floating macrophytes in Winam Gulf (Kenya) by using MODIS imagery time series., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2013)Development of algorithms and products for supporting the Italian hyperspectral PRISMA mission: The SAP4PRISMA project., , , , , , , , , and 7 other author(s). IGARSS, page 127-130. IEEE, (2012)Sinergistic use of radar and optical data for agricultural data products assimilation: A case study in Central Italy., , , , , , , , , and 7 other author(s). IGARSS, page 3381-3384. IEEE, (2015)Exploitation of hyperspectral data for infrastructures status assessment: Preliminary results of the istimes test bed., , , , , and . WHISPERS, page 1-4. IEEE, (2011)Sinergistic use of radar and optical data for agricultural data products assimilation: A case study in Central Italy., , , , , , , , , and 7 other author(s). IGARSS, page 3381-3384. IEEE, (2015)Correction: Palombo, A. and Santini, F. ImaAtCor: A Physically Based Tool for Combined Atmospheric and Topographic Corrections of Remote Sensing Images. Remote Sensing 2020, 12, 2076., and . Remote. Sens., 12 (17): 2862 (2020)Noise Removal from Remote Sensed Images by NonLocal Means with OpenCL Algorithm., , , and . Remote Sensing, 12 (3): 414 (2020)