Articles | Volume 24, issue 7
Hydrol. Earth Syst. Sci., 24, 3643–3661, 2020
Hydrol. Earth Syst. Sci., 24, 3643–3661, 2020

Research article 22 Jul 2020

Research article | 22 Jul 2020

Temporal interpolation of land surface fluxes derived from remote sensing – results with an unmanned aerial system

Sheng Wang et al.

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Cited articles

Alfieri, J. G., Anderson, M. C., Kustas, W. P., and Cammalleri, C.: Effect of the revisit interval and temporal upscaling methods on the accuracy of remotely sensed evapotranspiration estimates, Hydrol. Earth Syst. Sci., 21, 83–98,, 2017. 
Berni, J., Zarco-Tejada, P. J., Suarez, L., and Fereres, E.: Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle, IEEE T. Geosci. Remote, 47, 722–738,, 2009. 
Boegh, E., Poulsen, R. N., Butts, M., Abrahamsen, P., Dellwik, E., Hansen, S., Hasager, C. B., Ibrom, A., Loerup, J. K., Pilegaard, K., and Soegaard, H.: Remote sensing based evapotranspiration and runoff modeling of agricultural, forest and urban flux sites in Denmark: From field to macro-scale, J. Hydrol., 377, 300–316,, 2009. 
Brutsaert, W.: Evaporation into the Atmosphere, in: Theory, History, and Applications, D. Reidel Co, Dordrecht, Holland, 1982. 
Calvet, J.-C., Noilhan, J., and Bessemoulin, P.: Retrieving the Root-Zone Soil Moisture from Surface Soil Moisture or Temperature Estimates: A Feasibility Study Based on Field Measurements, J. Appl. Meteorol., 37, 371–386,<0371:RTRZSM>2.0.CO;2, 1998. 
Short summary
Remote sensing only provides snapshots of rapidly changing land surface variables; this limits its application for water resources and ecosystem management. To obtain continuous estimates of surface temperature, soil moisture, evapotranspiration, and ecosystem productivity, a simple and operational modelling scheme is presented. We demonstrate it with temporally sparse optical and thermal remote sensing data from an unmanned aerial system at a Danish bioenergy plantation eddy covariance site.