Assessment of the SMAP Passive Soil Moisture Product

被引：499

作者：

Chan, Steven K. ^{[1
]}

Bindlish, Rajat ^{[2
]}

O'Neill, Peggy E. ^{[3
]}

Njoku, Eni ^{[1
]}

Jackson, Tom ^{[4
]}

Colliander, Andreas ^{[1
]}

Chen, Fan ^{[2
]}

Burgin, Mariko ^{[1
]}

Dunbar, Scott ^{[1
]}

Piepmeier, Jeffrey ^{[3
]}

Yueh, Simon ^{[1
]}

Entekhabi, Dara ^{[5
]}

Cosh, Michael H. ^{[4
]}

Caldwell, Todd ^{[6
]}

Walker, Jeffrey ^{[7
]}

Wu, Xiaoling ^{[7
]}

Berg, Aaron ^{[8
]}

Rowlandson, Tracy ^{[8
]}

Pacheco, Anna ^{[9
]}

McNairn, Heather ^{[9
]}

Thibeault, Marc ^{[10
]}

Martinez-Fernandez, Jose ^{[11
]}

Gonzalez-Zamora, Angel ^{[11
]}

Seyfried, Mark ^{[12
]}

Bosch, David ^{[13
]}

Starks, Patrick ^{[14
]}

Goodrich, David ^{[15
]}

Prueger, John ^{[16
]}

Palecki, Michael ^{[17
]}

Small, Eric E. ^{[18
]}

Zreda, Marek ^{[19
]}

Calvet, Jean-Christophe ^{[20
]}

Crow, Wade T. ^{[4
]}

Kerr, Yann ^{[21
]}

机构：

[1] NASA, Jet Prop Lab, CALTECH, Pasadena, CA 91109 USA

[2] Sci Syst & Applicat Inc, Lanham, MD 20706 USA

[3] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA

[4] USDA, Agr Res Serv, Hydrol & Remote Sensing Lab, Beltsville, MD 20705 USA

[5] MIT, Cambridge, MA 02139 USA

[6] Univ Texas, Austin, TX 78713 USA

[7] Monash Univ, Clayton, Vic 3800, Australia

[8] Univ Guelph, Guelph, ON N1G 2W1, Canada

[9] Agr & Agri Food Canada, Ottawa, ON K1A OC6, Canada

[10] Comis Nacl Actividades Espaciales CONAE, Buenos Aires, DF, Argentina

[11] Univ Salamanca, Inst Hispano Luso Invest Agr CIALE, Salamanca 37185, Spain

[12] USDA, Northwest Watershed Res Ctr, Agr Res Serv, Boise, ID 83712 USA

[13] USDA, Southeast Watershed Res Lab, Agr Res Serv, Tifton, GA 31793 USA

[14] USDA, Agr Res Serv, Grazinglands Res Lab, El Reno, OK 73036 USA

[15] USDA, Agr Res Serv, Southwest Watershed Res Ctr, Tucson, AZ 85719 USA

[16] USDA, Agr Res Serv, Natl Lab Agr & Environm, Ames, IA 50011 USA

[17] NOAA, Natl Climat Data Ctr, Asheville, NC 28801 USA

[18] Univ Colorado, Boulder, CO 80309 USA

[19] Univ Arizona, Tucson, AZ 85721 USA

[20] Meteo France, Ctr Natl Rech Meteorol GAME, CNRS, UMR 3589, F-31057 Toulouse, France

[21] CNES, CESBIO, F-31401 Toulouse, France

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2016年 / 54卷 / 08期

基金：

美国国家科学基金会;

关键词：

Brightness temperature; land emission; L-band; Level 2 Passive Soil Moisture Product (L2_SM_P); Level 3 Daily Composite Version (L3_SM_P); passive microwave remote sensing; Soil Moisture Active Passive (SMAP); soil moisture; tau-omega (tau-omega) model; validation;

D O I：

10.1109/TGRS.2016.2561938

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

070403 [天体物理学]; 070902 [地球化学];

摘要：

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).

引用

页码：4994 / 5007

页数：14

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