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Theme 2


Developing sensing technologies and observational data products to monitor terrestrial ecosystems across biomes, timescales, and hydro-climatic regimes.

Two Studies:


Design a novel system to simultaneously measure high-quality SIF and hyperspectral reflectance,which has been successfully mounted onto a ground tower and an airborne unmanned aerial vehicle (UAV) platform, respectively

Develop two novel high-resolution (~5km) time series of spatially contiguous SIF for the globe, using machine learning algorithms constrained by known physiological dynamics:


The first data product used a hybrid approach that combined artificial neural network (ANN) algorithms and physiological constraints to gap-fill the native SIF measurements from the Orbiting Carbon Observatory (OCO)-2 satellite mission for the period 2014-2018 at bi-weekly resolution.


The second product developed a long-term (2002-2018) harmonized SIF dataset at monthly and ~5km resolution by fusing multiple satellite SIF (from SCIAMACHY and GOME-2) utilizing ANN and Random Forest (RF), respectively, and cumulative probability distribution (CDF) matching.



Apply the instruments and data product to investigate the carbon cycle. In collaboration with ecologists in Australia, we integrated the in-situ GPP fluxes with satellite observations along the North Australian Tropical Transect (NATT) as a testbed and found that SIF outperformed other reflectance-based vegetation indicators mainly because, unlike reflectance, it is not contaminated by background soil and its total signal is contributed by mixed plant species in additive way.


We as well harness SIF remote sensing and eddy covariance (EC) measurements to close the long-standing knowledge gap in ecosystem carbon flux partitioning.



Develop new satellite products of evapotranspiration (ET) and land surface temperature (LST) from thermal remote sensing with high resolution, by resolving the full continuous diurnal cycle of 70m ET and LST from the sporadic ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) measurements.

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