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Aboveground biomass mapping in French Guiana by combining remote sensing, forest inventories and environmental data.

, , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)

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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)Multi-scale spatial sensitivity analysis of a model for economic appraisal of flood risk management policies., , , and . Environ. Model. Softw., (2014)Assessing optical earth observation systems for mapping and monitoring temporary ponds in arid areas., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, 11 (5): 344-351 (2009)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)Regional Scale Rain-Forest Height Mapping Using Regression-Kriging of Spaceborne and Airborne LiDAR Data: Application on French Guiana., , , , , , , , and . Remote Sensing, 8 (3): 240 (2016)Soft Water Level Sensors for Characterizing the Hydrological Behaviour of Agricultural Catchments., , , , and . Sensors, 11 (5): 4656-4673 (2011)Capability of GLAS/ICESat Data to Estimate Forest Canopy Height and Volume in Mountainous Forests of Iran., , , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (11): 5246-5261 (2015)Aboveground biomass mapping in French Guiana by combining remote sensing, forest inventories and environmental data., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)Comparison of Pleiades and LiDAR Digital Elevation Models for Terraces Detection in Farmlands., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (4): 1567-1576 (2016)Testing Different Methods of Forest Height and Aboveground Biomass Estimations From ICESat/GLAS Data in Eucalyptus Plantations in Brazil., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 7 (1): 290-299 (2014)