Recent advances in (soil moisture) triple collocation analysis
By Alexander Gruber, C. Su, S. Zwieback, Wade T. Crow, Wouter A. Dorigo, Wolfgang Wagner. International Journal of Applied Earth Observation and Geoinformation, 2016
358 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/1cd938b246868c0c8da48549943185fb21bfca79
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In Atmospheric Science
In Environmental Engineering
Citations in the corpus
- Estimating error cross‐correlations in soil moisture data sets using extended collocation analysis (2016, methodology): “…between 0.0 [-] and 1.0 [-] in increments of 0.1 [-], and error variance levels are varied in all four data sets between 40 mm2 and 600 mm2 in increments of 80 mm2, which corresponds to a SNR between about−6 dB and+6 dB, which is a typical range for soil moisture data sets [Gruber et al., 2015].”
- Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals (2017, methodology): “However, in practice, time-variant error (co)variance estimates are seldom available, but it is often reasonable to assume them to be stationary [11].”