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SMOS Vegetation Optical Depth and Ecosystem Functional Properties: Exploring Their Relationships in Tropical Forests.

, , , , , , , , and . IGARSS, page 5891-5894. IEEE, (2018)

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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)Hunting Data Rogues at Scale: Data Quality Control for Observational Data in Research Infrastructures., , , , , , , , , and 8 other author(s). eScience, page 446-447. IEEE Computer Society, (2017)The FLUXCOM ensemble of global land-atmosphere energy fluxes., , , , , , , , , and . CoRR, (2018)Species dominance and above ground biomass in the Białowieża Forest, Poland, described by airborne hyperspectral and lidar data., , , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2020)Case Study: ENVRI Science Demonstrators with D4Science., , , , , , , , and . Towards Interoperable Research Infrastructures for Environmental and Earth Sciences, volume 12003 of Lecture Notes in Computer Science, Springer, (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)Active actuator fault detection and diagnostics in HVAC systems., , , , , , , and . BuildSys@SenSys, page 107-114. ACM, (2012)Eddy covariance: a practical guide to measurement and data analysis, , and . Springer, (2012)Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations, , , , , , , , , and 14 other author(s). Journal of Geophysical Research: Biogeosciences, (2011)\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1029/2010JG001566.Above ground biomass and tree species richness estimation with airborne lidar in tropical Ghana forests., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)