Assessment of retrieval errors of AirMOSS root-zone soil moisture products

A Tabatabaeenejad, RH Chen… - … and Remote Sensing …, 2016 - ieeexplore.ieee.org
2016 IEEE International Geoscience and Remote Sensing Symposium …, 2016ieeexplore.ieee.org
We have concluded that before calculation of the AirMOSS project overall RMSE, not only
the behavior and location of in-situ soil moisture probes need to be carefully evaluated but
also the present error biases-associated with the in-situ probes, radar calibration, vegetation
parameterization, forward model inaccuracy, and the inversion algorithm bias-need to be
removed. Several measures have been taken over the course of AirMOSS mission to
increase the accuracy of RZSM products. The overall RMSE was reported for each study …
We have concluded that before calculation of the AirMOSS project overall RMSE, not only the behavior and location of in-situ soil moisture probes need to be carefully evaluated but also the present error biases-associated with the in-situ probes, radar calibration, vegetation parameterization, forward model inaccuracy, and the inversion algorithm bias-need to be removed. Several measures have been taken over the course of AirMOSS mission to increase the accuracy of RZSM products. The overall RMSE was reported for each study site. We can show that the overall AirMOSS retrieval error for the top 25 cm in BERMS, Metolius, MOISST, Tonzi Ranch, and Walnut Gulch meets the mission RMSE requirement. This error would be calculated in terms of RMSE between the retrieved and actual moisture values over all qualified validation points, all sites, and all dates. The retrieval performance is expected to improve even more with reprocessing of some of the flights using recalibrated radar data.
ieeexplore.ieee.org
Showing the best result for this search. See all results