Validation of land surface evapotranspiration remote sensing products (English Version)
This standard systematically specifies the technical requirements for the entire process of authenticity verification of surface evapotranspiration remote sensing products, focusing on solving the problem of incomparable current verification results. Its technical framework includes the standardized application of ground observation equipment such as eddy correlator and scintillometer, as well as innovative verification methods such as the triple test method and the triangular hat method.
Dimension | Direct test method | Cross-test method | Spatial-temporal trend analysis method |
---|---|---|---|
Applicable conditions | With ground observation data | ≥3 kinds of remote sensing products | With influencing factor data |
Spatial scale | Pixel/regional scale | Spatial registration required | Spatial-temporal consistency required |
Accuracy indicators | RMSE, Bias | Triple/Triangle Hat Method | Trend Fit |
Appendix A of the standard clearly states: Eddy Correlator is suitable for medium and high resolution product verification (tens to hundreds of meters in the source area), and Dual Band Scintillometer is for 1-5km low resolution products. During installation, it is necessary to ensure that the ultrasonic anemometer has a balanced horizontal bubble and the scintillator light path should be perpendicular to the main wind direction.
Data quality is graded through turbulence stationarity test (eddy correlator) and Monin-Obukhov theory verification (scintillator), and only high/medium quality data can be used for verification. A typical example is that the Qinghai-Tibet Plateau stations need to additionally consider the data correction of the ice and snow sublimation process.
This standard makes up for the problems of scale mismatch (such as flux source area and pixel deviation) and inconsistent methods in traditional verification. By introducing relative true value calculation (Appendix B) and error covariance matrix (Appendix C), the verification results of different institutions are comparable. Compared with the previous draft, the 2021 version adds a spatiotemporal trend analysis method to adapt to the verification scenarios where there is a lack of ground data in large areas.
Copyright ?2007-2025 ANTPEDIA, All Rights Reserved