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A Generic Algorithm to Estimate LAI, FAPAR and FCOVER Variables from SPOT4_HRVIR and Landsat Sensors: Evaluation of the Consistency and Comparison with Ground Measurements.

, , , , , , , and . Remote. Sens., 7 (11): 15494-15516 (2015)

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Estimation of Forest Parameters Combining High Resolution Radar and Optical Spaceborne Sensors., , and . IGARSS, page 6313-6319. IEEE, (2019)Phenocams Bridge the Gap between Field and Satellite Observations in an Arid Grassland Ecosystem., , , , and . Remote Sensing, 9 (10): 1071 (2017)Estimation of Forest Parameters Combining Multisensor High Resolution Remote Sensing Data., , , , and . IGARSS, page 8801-8804. IEEE, (2018)Submonthly Assessment of Temperate Forest Clear-Cuts in Mainland France., , , , , , , , , and 6 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Effects of top compositeness, , , and . Phys. Rev., (1995)High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach., , , , , , , , , and 4 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2024)Land Cover and Crop Type Classification along the Season Based on Biophysical Variables Retrieved from Multi-Sensor High-Resolution Time Series., , , , , , , , , and . Remote. Sens., 7 (8): 10400-10424 (2015)A Generic Algorithm to Estimate LAI, FAPAR and FCOVER Variables from SPOT4_HRVIR and Landsat Sensors: Evaluation of the Consistency and Comparison with Ground Measurements., , , , , , , and . Remote. Sens., 7 (11): 15494-15516 (2015)