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This topic has appeared in the English Wikipedia rankings 1 time. It first appeared on 2026-07-18 and was most recently seen on 2026-07-18.
Collocation is a procedure used in remote sensing
to match measurements from two or more different instruments.
This is done for two main reasons:
for validation purposes when comparing measurements of the same variable,
and to relate measurements of two different variables
either for performing retrievals or for prediction.
In the second case the data is later fed into some type of statistical
inverse method
such as an artificial neural network, statistical classification algorithm,
kernel estimator or a linear least squares.
In principle, most collocation problems can be solved by a nearest neighbor search,
but in practice there are many other considerations involved and the best method is
highly specific to the particular matching of instruments.
Here we deal with some of the most important considerations along with specific examples.
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