Apr 6, 2015 · The results of QC show that the ERA model has the lowest error variance, while ground measurements are likely to be affected by the difficulty ...

Oct 22, 2024 · A specific strategy has been set up in order to enable the comparison between products representing a volumetric soil moisture content, as those ...

In this letter, three years of soil moisture data derived from the Advanced SCATterometer (ASCAT) aboard the MetOp satellite and the Soil Moisture and Ocean ...

May 8, 2021 · Triple and quadruple collocation analyses show consistent results to a high degree Scatterometer error estimates from triple collocation are ...

This study proposes the time-varying quadruple collocation (TV-QC) approach to enhance the estimation of satellite and reanalysis precipitation data ...

Muñoz-Sabater,”Quadruple collocation analysis for soil moisture product assessment”, IEEE Geoscience and Remote Sensing Letters, vol.12, pp. 1595-1599, 2015 ...

Quadruple Collocation Analysis for Soil Moisture Product Assessment. Pierdicca, N., Fascetti, F., Pulvirenti, L., Crapolicchio, R., Munoz-Sabater, J.

Muñoz-Sabater (2015). Quadruple Collocation Analysis for Soil Moisture Product Assessment. IEEE Geoscience and Remote Sensing Letters 12(8): 1595-1599. Su, ...

Quadruple Collocation Analysis for Soil Moisture Product Assessment ... For validating remotely sensed products, the triple collocation (TC) is often adopted, ...

Dec 1, 2023 · True global error maps for SMAP, SMOS, and ASCAT soil moisture data based on machine learning and triple collocation analysis · Highlights.