Details

Autor(en) / Beteiligte

• Chan, Steven K.
• Bindlish, Rajat
• O'Neill, Peggy E.
• Njoku, Eni
• Jackson, Tom
• Colliander, Andreas
• Chen, Fan
• Burgin, Mariko
• Dunbar, Scott
• Piepmeier, Jeffrey
• Yueh, Simon
• Entekhabi, Dara
• Cosh, Michael H.
• Caldwell, Todd
• Walker, Jeffrey
• Wu, Xiaoling
• Berg, Aaron
• Rowlandson, Tracy
• Pacheco, Anna
• McNairn, Heather
• Thibeault, Marc
• Martinez-Fernandez, Jose
• Gonzalez-Zamora, Angel
• Seyfried, Mark
• Bosch, David
• Starks, Patrick
• Goodrich, David
• Prueger, John
• Palecki, Michael
• Small, Eric E.
• Zreda, Marek
• Calvet, Jean-Christophe
• Crow, Wade T.
• Kerr, Yann

Titel

Assessment of the SMAP Passive Soil Moisture Product

Ist Teil von

• IEEE transactions on geoscience and remote sensing, 2016-08, Vol.54 (8), p.4994-5007

Ort / Verlag

Goddard Space Flight Center: IEEE

Erscheinungsjahr

2016

Quelle

IEEE/IET Electronic Library (IEL)

Beschreibungen/Notizen

• The National Aeronautics and Space Administration (NASA) Soil Moisture Active Passive (SMAP) satellite mission was launched on January 31, 2015. The observatory was developed to provide global mapping of high-resolution soil moisture and freeze-thaw state every two to three days using an L-band (active) radar and an L-band (passive) radiometer. After an irrecoverable hardware failure of the radar on July 7, 2015, the radiometer-only soil moisture product became the only operational soil moisture product for SMAP. The product provides soil moisture estimates posted on a 36 km Earth-fixed grid produced using brightness temperature observations from descending passes. Within months after the commissioning of the SMAP radiometer, the product was assessed to have attained preliminary (beta) science quality, and data were released to the public for evaluation in September 2015. The product is available from the NASA Distributed Active Archive Center at the National Snow and Ice Data Center. This paper provides a summary of the Level 2 Passive Soil Moisture Product (L2_SM_P) and its validation against in situ ground measurements collected from different data sources. Initial in situ comparisons conducted between March 31, 2015 and October 26, 2015, at a limited number of core validation sites (CVSs) and several hundred sparse network points, indicate that the V-pol Single Channel Algorithm (SCA-V) currently delivers the best performance among algorithms considered for L2_SM_P, based on several metrics. The accuracy of the soil moisture retrievals averaged over the CVSs was 0.038 m 3 /m 3 unbiased root-mean-square difference (ubRMSD), which approaches the SMAP mission requirement of 0.040 m 3 /m 3 .