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Airborne LiDAR Detects Selectively Logged Tropical Forest Even in an Advanced Stage of Recovery., , , , and . Remote Sensing, 7 (7): 8348-8367 (2015)Tree height in tropical forest as measured by different ground, proximal, and remote sensing instruments, and impacts on above ground biomass estimates., , , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2019)First results of AfriScat, a tower-based radar experiment in African forest., , , , , , , , and . IGARSS, page 5356-5358. IEEE, (2015)Optical and SAR sensor synergies for forest and land cover mapping in a tropical site in West Africa., , , , , , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2013)Above ground biomass and tree species richness estimation with airborne lidar in tropical Ghana forests., , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2016)Small Footprint Full-Waveform Metrics Contribution to the Prediction of Biomass in Tropical Forests., , , , and . Remote Sensing, 6 (10): 9576-9599 (2014)Use of COSMO-SkyMed constellation for monitoring the post-fire vegetation regrowth: The Capo Figari case study., , , , , , , and . IGARSS, page 1073-1076. IEEE, (2014)Performance of Linear and Nonlinear Two-Leaf Light Use Efficiency Models at Different Temporal Scales., , , , , , , , , and 13 other author(s). Remote Sensing, 7 (3): 2238-2278 (2015)