Arctic Space Centre and Sodankylä Space Campus, Science News

The unique Sodankylä ground measurement network is utilized in the quality control of the global satellite-based monitoring of soil moisture and frost

Satellite applications are dependent on ground reference measurements to ensure the usefulness of the results.

Sodankylä region is particularly well suited for validation and comparison of various satellite measurements.

More information:

Researcher Kimmo Rautiainen, kimmo.rautiainen@fmi.fi

Colliander, A., Jackson, T.J., Bindlish, R., Chan, S., Das, N., Kim, S.B., Cosh, M.H., Dunbar, R.S., Dang, L., Pashaian, L., Asanuma, J., Aida, K., Berg, A., Rowlandson, T., Bosch, D., Caldwell, T., Caylor, K., Goodrich, D., al Jassar, H., Lopez-Baeza, E., Martínez-Fernández, J., González-Zamora, A., Livingston, S., McNairn, H., Pacheco, A., Moghaddam, M., Montzka, C., Notarnicola, C., Niedrist, G., Pellarin, T., Prueger, J., Pulliainen, J., Rautiainen, K., Ramos, J., Seyfried, M., Starks, P., Su, Z., Zeng, Y., van der Velde, R., Thibeault, M., Dorigo, W., Vreugdenhil, M., Walker, J.P., Wu, X., Monerris, A., O’Neill, P.E., Entekhabi, D., Njoku, E.G., Yueh, S., (2017). Validation of SMAP surface soil moisture products with core validation sites. Remote Sens. Environ. 191, 215-231. http://dx.doi.org/10.1016/j.rse.2017.01.021

Derksen, C., Xu, X., Scott Dunbar, R., Colliander, A., Kim, Y., Kimball, J.S., Black, T.A., Euskirchen, E., Langlois, A., Loranty, M.M., Marsh, P., Rautiainen, K., Roy, A., Royer, A., Stephens, J., (2017). Retrieving landscape freeze/thaw state from soil moisture active passive (SMAP) radar and radiometer measurements. Remote Sens. Environ.194, 48-62. http://dx.doi.org/10.1016/j.rse.2017.03.007.

Lyu, H., McColl, K.A., Lia, X., Derksen, C., Berg, A., Black, T.A., Euskirchen, E., Loranty, M., Pulliainen, J., Rautiainen, K., Rowlandson, T., Roy, A., Royer, A., Langlois, A., Stephens, J., Lu, H., Entekhabi, D., (2017). Validation of the SMAP freeze/thaw product using categorical triple collocation, Remote Sensing of Environment, 205, 329–337. https://doi.org/10.1016/j.rse.2017.12.007

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