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stali
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In remote sensing you often do not directly measure the variable of interest, i.e., you measure it via some other variable that you can measure (depending on the type of instrumentation). The model function is simplesimply the function which relates the observed variable to the variable of interest, just like y=f(x).

E.g., y could be wind speed, and x the energy measured by the scatterometer.

In remote sensing you often do not directly measure the variable of interest i.e., you measure it via some other variable that you can measure (depending on the type of instrumentation). The model function is simple the function which relates the observed variable to the variable of interest just like y=f(x).

E.g., y could be wind speed and x the energy measured by the scatterometer.

In remote sensing you often do not directly measure the variable of interest, i.e., you measure it via some other variable that you can measure (depending on the type of instrumentation). The model function is simply the function which relates the observed variable to the variable of interest, just like y=f(x).

E.g., y could be wind speed, and x the energy measured by the scatterometer.

Source Link
stali
  • 2.4k
  • 19
  • 14

In remote sensing you often do not directly measure the variable of interest i.e., you measure it via some other variable that you can measure (depending on the type of instrumentation). The model function is simple the function which relates the observed variable to the variable of interest just like y=f(x).

E.g., y could be wind speed and x the energy measured by the scatterometer.