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Regional Scale Rain-Forest Height Mapping Using Regression-Kriging of Spaceborne and Airborne LiDAR Data: Application on French Guiana.

, , , , , , , , and . Remote. Sens., 8 (3): 240 (2016)

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Towards Operational Fiducial Reference Measurement (FRM) Data for the Calibration and Validation of the Sentinel-3 Surface Topography Mission over Inland Waters, Sea Ice, and Land Ice., , , , , , , , , and 29 other author(s). Remote. Sens., 15 (19): 4826 (October 2023)Combining multi-source information for crop monitoring., , , and . FUSION, page 1-7. IEEE, (2008)Toward an Operational Bare Soil Moisture Mapping Using TerraSAR-X Data Acquired Over Agricultural Areas., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 6 (2-3): 900-916 (2013)Canopy Height Estimation in French Guiana with LiDAR ICESat/GLAS Data Using Principal Component Analysis and Random Forest Regressions., , , , , , , and . Remote. Sens., 6 (12): 11883-11914 (2014)Canopy height estimation in French Guiana using LiDAR ICESat/GLAS data., , , , , , and . IGARSS, page 1337-1340. IEEE, (2014)Complementary Source Information Cooperation Within a Decision System for Crop Monitoring., , and . IFSA/EUSFLAT Conf., page 1496-1501. (2009)Coupling potential of ICESat/GLAS and SRTM for the discrimination of forest landscape types in French Guiana., , , , , , and . IGARSS, page 2046-2049. IEEE, (2014)Regional Scale Rain-Forest Height Mapping Using Regression-Kriging of Spaceborne and Airborne LiDAR Data: Application on French Guiana., , , , , , , , and . Remote. Sens., 8 (3): 240 (2016)Aboveground biomass mapping in French Guiana by combining remote sensing, forest inventories and environmental data., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)Regional scale rain-forest height mapping using regression-kriging of spaceborne and airborne LiDAR data: Application on French Guiana., , , , , , , , and . IGARSS, page 4109-4112. IEEE, (2015)