Published Research

The following references cite studies that used SMAP Validation data from NSIDC. Please contact User Services if you have a reference you would like to share on this page.


Colliander, Andreas, et al. 2016. Retrieving soil moisture for non-forested areas using PALS radiometer measurements in SMAPVEX12 field campaign. Remote Sensing of Environment 184: 86-100. doi:

Djamai, Najib, et al. 2016. A combination of DISPATCH downscaling algorithm with CLASS land surface scheme for soil moisture estimation at fine scale during cloudy days. Remote Sensing of Environment 184: 1-14. doi:

Ma, Hongzhang, and and Sumei Liu. 2016. The Potential Evaluation of Multisource Remote Sensing Data for Extracting Soil Moisture Based on the Method of BP Neural Network. Canadian Journal of Remote Sensing 42(2): 117-124. doi:

Ma, Hongzhang, et al. 2016. Active and passive cooperative algorithm at L-Band for bare soil moisture inversion. Transactions of the Chinese Society of Agricultural Engineering 32(19): 131-138. doi:

Wang, Hongquan, et al. 2016. Evaluation of Simplified Polarimetric Decomposition for Soil Moisture Retrieval over Vegetated Agricultural Fields. Remote Sensing 8(2). Art. #142. doi:


Bruscantini, Cintia A., et al. 2015. L-Band Radar Soil Moisture Retrieval Without Ancillary Information. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8(12): 5526-5540. doi:

Colliander, A., et al. 2015. Comparison of Airborne Passive and Active L-Band System (PALS) Brightness Temperature Measurements to SMOS Observations During the SMAP Validation Experiment 2012 (SMAPVEX12). IEEE Geoscience and Remote Sensing Letters 12(4): 801-805. doi:

Manns, Hida R., Aaron A. Berg, and Andreas Colliander. 2015. Soil organic carbon as a factor in passive microwave retrievals of soil water content over agricultural croplands. Journal of Hydrology 528: 643-651. doi: