Author of the publication

Global Airborne Laser Scanning Data Providers Database (GlobALS) - A New Tool for Monitoring Ecosystems and Biodiversity.

, , , , , , and . Remote. Sens., 12 (11): 1877 (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Global Airborne Laser Scanning Data Providers Database (GlobALS) - A New Tool for Monitoring Ecosystems and Biodiversity., , , , , , and . Remote. Sens., 12 (11): 1877 (2020)Potential of ALOS2 and NDVI to Estimate Forest Above-Ground Biomass, and Comparison with Lidar-Derived Estimates., , , , , , , and . Remote. Sens., 9 (1): 18 (2017)Above ground biomass and tree species richness estimation with airborne lidar in tropical Ghana forests., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)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)Potential of ALOS2 Polarimetric Imagery to Support Management of Poplar Plantations in Northern Italy., , , , , and . Remote. Sens., 14 (20): 5202 (2022)Estimated Biomass Loss Caused by the Vaia Windthrow in Northern Italy: Evaluation of Active and Passive Remote Sensing Options., , , , and . Remote. Sens., 13 (23): 4924 (2021)Small Footprint Full-Waveform Metrics Contribution to the Prediction of Biomass in Tropical Forests., , , , and . Remote Sensing, 6 (10): 9576-9599 (2014)Airborne LiDAR Detects Selectively Logged Tropical Forest Even in an Advanced Stage of Recovery., , , , and . Remote. Sens., 7 (7): 8348-8367 (2015)Global Airborne Laser Scanning Data Providers Database (GlobALS)—A New Tool for Monitoring Ecosystems and Biodiversity, , , , , , and . Remote Sensing, 12 (11): 1877 (June 2020)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)