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Above ground biomass and tree species richness estimation with airborne lidar in tropical Ghana forests.

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

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FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem–Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities, , , , , , , , , and 17 other author(s). Bulletin of the American Meteorological Society, 82 (11): 2415--2434 (Nov 1, 2001)Airborne LiDAR Detects Selectively Logged Tropical Forest Even in an Advanced Stage of Recovery., , , , and . Remote. Sens., 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. Appl. Earth Obs. Geoinformation, (2019)SnowWarp: An open science and open data tool for daily monitoring of snow dynamics., , , , , , , , , and 1 other author(s). Environ. Model. Softw., (2022)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. Sens., 7 (3): 2238-2278 (2015)First results of AfriScat, a tower-based radar experiment in African forest., , , , , , , , and . IGARSS, page 5356-5358. IEEE, (2015)The Fourier Series Model for Predicting Sapflow Density Flux Based on TreeTalker Monitoring System., , , , , and . NEW2AN/ruSMART (2), volume 12526 of Lecture Notes in Computer Science, page 198-209. Springer, (2020)AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes., , , , , , , , , and 6 other author(s). CoRR, (2022)Optical and SAR sensor synergies for forest and land cover mapping in a tropical site in West Africa., , , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2013)