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Airborne LiDAR Detects Selectively Logged Tropical Forest Even in an Advanced Stage of Recovery.

, , , , and . Remote. Sens., 7 (7): 8348-8367 (2015)

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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)Potential of ALOS2 and NDVI to Estimate Forest Above-Ground Biomass, and Comparison with Lidar-Derived Estimates., , , , , , , and . Remote. Sens., 9 (1): 18 (2017)Global Airborne Laser Scanning Data Providers Database (GlobALS) - A New Tool for Monitoring Ecosystems and Biodiversity., , , , , , and . Remote. Sens., 12 (11): 1877 (2020)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)Global Airborne Laser Scanning Data Providers Database (GlobALS)—A New Tool for Monitoring Ecosystems and Biodiversity, , , , , , and . Remote Sensing, 12 (11): 1877 (June 2020)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)Vegetation optical depth at L-band and above ground biomass in the tropical range: Evaluating their relationships at continental and regional scales., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2019)First results of AfriScat, a tower-based radar experiment in African forest., , , , , , , , and . IGARSS, page 5356-5358. IEEE, (2015)