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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)

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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)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)Recent decline in the global land evapotranspiration trend due to limited moisture supply, , , , , , , , , and 23 other author(s). Nature, 467 (7318): 951--954 (October 2010)