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Evaluation of the validated Soil Moisture product from the SMAP radiometer

P. O'Neill, S. Chan, A. Colliander, S. Dunbar, E. Njoku, R. Bindlish, F. Chen, T. Jackson, M. Burgin, J. Piepmeier, S. Yueh, D. Entekhabi (+22 others)
2016 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)  
, and results from several intensive field campaigns) are anticipated in moving from accuracy assessment of the beta quality data to an evaluation of the fully validated L2_SM_P data product.  ...  SMAP's radiometer-derived soil moisture product (L2_SM_P) provides soil moisture estimates posted on a 36 km fixed Earth grid using brightness temperature observations from descending (6 am) passes and  ...  In order to assess the quality of the beta data and to evaluate the performance of the different soil moisture retrieval algorithms, SMAP soil moisture data from March 31 through October 26, 2015 were  ... 
doi:10.1109/igarss.2016.7729023 dblp:conf/igarss/ONeillCCDNBCJBP16 fatcat:sweledpu25cpldkayyo6df5jhm

Preliminary Evaluation of the SMAP Radiometer Soil Moisture Product over China Using In Situ Data

Yayong Sun, Shifeng Huang, Jianwei Ma, Jiren Li, Xiaotao Li, Hui Wang, Sheng Chen, Wenbin Zang
2017 Remote Sensing  
This study represents the first evaluation of the SMAP radiometer soil moisture product over China.  ...  The SMAP radiometer-derived soil moisture product was evaluated against two schemes of original soil moisture and the soil moisture anomaly in different geographical zones and land cover types.  ...  Acknowledgments: This work was supported by High Resolution Earth Observation System Program of China  ... 
doi:10.3390/rs9030292 fatcat:n235zflev5dahbqnn4m7enixra

Evaluation of SMAP downscaled brightness temperature using SMAPEx-4/5 airborne observations

N. Ye, J.P. Walker, R. Bindlish, J. Chaubell, N.N. Das, A.I. Gevaert, T.J. Jackson, C. Rüdiger
2019 Remote Sensing of Environment  
The Soil Moisture Active and Passive (SMAP) mission, launched by the National Aeronautics and Space Administration (NASA) on 31st January 2015, was designed to provide global soil moisture every 2 to 3  ...  days at 9 km resolution by downscaling SMAP passive microwave observations obtained at 36 km resolution using active microwave observations at 3 km resolution, and then retrieving soil moisture from the  ...  Acknowledgements This work was supported within the framework of the MoistureMonitor project funded by the Australian Research Council (DP140100572).  ... 
doi:10.1016/j.rse.2018.11.033 pmid:32020952 pmcid:PMC6999732 fatcat:3bgrho6thbc65ji4cdwyrklyzy

The SMAP mission combined active-passive soil moisture product at 9 km and 3 km spatial resolutions

Narendra N. Das, Dara Entekhabi, R. Scott Dunbar, Andreas Colliander, Fan Chen, Wade Crow, Thomas J. Jackson, Aaron Berg, David D. Bosch, Todd Caldwell, Michael H. Cosh, Chandra H. Collins (+10 others)
2018 Remote Sensing of Environment  
In this study, we evaluate the SMAP highresolution soil moisture product derived from several alternative algorithms against in situ data from core calibration and validation sites (CVS), and sparse networks  ...  Although limited in duration, SMAP has clearly demonstrated the potential of using a combined Lband radar-radiometer for proving high spatial resolution and accurate global soil moisture.  ...  We acknowledge the sustained support from the SMAP Project at JPL, and the Earth Science section of the NASA HQ. We acknowledge the support of Dr. Steven Chan and Dr.  ... 
doi:10.1016/j.rse.2018.04.011 fatcat:mlncjbo4xffynirvjmfqiwe7qa

Assessment of version 4 of the SMAP passive soil moisture standard product

P. O'Neill, S. Chan, R. Bindlish, T. Jackson, A. Colliander, S. Dunbar, F. Chen, J. Piepmeier, S. Yueh, D. Entekhabi, M. Cosh, T. Caldwell (+25 others)
2017 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)  
Validation of 19 months of the standard L2SMP product was done for both AM and PM retrievals using in situ measurements from global core cal/val sites.  ...  Accuracy of the soil moisture retrievals averaged over the core sites showed that SMAP accuracy requirements are being met.  ...  The SMAP standard L2SMP product provides soil moisture estimates posted on a 36-km Earth-fixed grid using the radiometer time-ordered brightness temperatures (L1B_TB product) along with a variety of static  ... 
doi:10.1109/igarss.2017.8127862 dblp:conf/igarss/ONeillCBJCDCPYE17 fatcat:lssbiwcvlva5poa7w24hnpmxre

Soil Moisture Remote Sensing across Scales

Nemesio Rodríguez-Fernández, Ahmad Al Bitar, Andreas Colliander, Tianjie Zhao
2019 Remote Sensing  
We summarize the 13 articles collected in this Special Issue on soil moisture remote sensing across scales in terms of the spatial, temporal, and frequency scales studied.  ...  Soil moisture plays an important role in the water, carbon, and energy cycles.  ...  ) for their support and help with the editorial work of this Special Issue.  ... 
doi:10.3390/rs11020190 fatcat:vz7eji5nxbcllh4p4ewf7eyx3y

Evaluation of SMAP level 2 soil moisture algorithms using SMOS data

Rajat Bindlish, Thomas J. Jackson, Tianjie Zhao, Michael Cosh, Steven Chan, Peggy O'Neill, Eni Njoku, Andreas Colliander, Yann Kerr, J. C. Shi
2011 2011 IEEE International Geoscience and Remote Sensing Symposium  
Evaluation of Results Several different datasets will be used to evaluate the performance of the SMAP soil moisture algorithm: and Reynolds Creek, Idaho) were developed and used as part of the AMSR-E validation  ...  Output of the potential SMAP algorithms will be compared to both in situ measurements and SMOS soil moisture products.  ... 
doi:10.1109/igarss.2011.6049705 dblp:conf/igarss/BindlishJZCCONCKS11 fatcat:ft4tqj3conadzmvqc73743425u

HIGH-RESOLUTION ENHANCED PRODUCT BASED ON SMAP ACTIVE-PASSIVE APPROACH USING SENTINEL 1A AND 1B SAR DATA

N. N. Das, D. Entekhabi, S. Kim, T. Jagdhuber, S. Dunbar, S. Yueh, P. E. O'Neill, A. Colliander, J. Walker, T. J. Jackson
2018 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The approach used for this product draws heavily from the heritage SMAP active-passive algorithm.  ...  </strong> SMAP project released a new enhanced high-resolution (3km) soil moisture active-passive product.  ...  Figure 2 shows the comparison of SMAP radiometer-only product (L2SMP_E) and SMAP-Sentinel combination (L2SMSP). details of soil moisture retrievals through application of the L2SMSP algorithm.  ... 
doi:10.5194/isprs-archives-xlii-5-203-2018 fatcat:3zoptz5yovamtl6ledftni6ezu

An Intercomparison Study of Algorithms for Downscaling SMAP Radiometer Soil Moisture Retrievals

Li Fang, Xiwu Zhan, Jifu Yin, Jicheng Liu, Mitchell Schull, Jeffrey P. Walker, Jun Wen, Michael H. Cosh, Tarendra Lakhankar, Chandra Holifield Collins, David D. Bosch, Patrick J. Starks
2020 Journal of Hydrometeorology  
and 1-km LST and VI, and the NASA SMAP enhanced 9-km soil moisture product algorithm.  ...  Soil moisture measurements of the in situ networks were upscaled to the corresponding SMAP reference pixels at 9 km and used to assess the accuracy of downscaled products at a 9-km scale.  ...  This project was supported by the NASA SMAP Science Utilization Program (SUSMAP: NNH16AD19I). The authors declare that there is no conflict of interest regarding the publication of this paper.  ... 
doi:10.1175/jhm-d-19-0034.1 fatcat:dasatlfgmjglvcf5w5xqkolxli

Development and validation of the SMAP enhanced passive soil moisture product

S. Chan, R. Bindlish, P. O'Neill, T. Jackson, J. Chaubell, J. Piepmeier, S. Dunbar, A. Colliander, F. Chen, D. Entekhabi, S. Yueh, M. Cosh (+26 others)
2017 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)  
This paper describes the development and validation of an enhanced version of the current standard soil moisture product.  ...  optimal interpolation technique that more fully utilizes the additional information from the original radiometer observations to achieve global mapping of soil moisture with enhanced clarity.  ...  CONCLUSION In this paper, the development and validation of the SMAP Enhanced Passive Soil Moisture Product were discussed.  ... 
doi:10.1109/igarss.2017.8127512 dblp:conf/igarss/ChanBOJCPDCCEYC17 fatcat:ix5ozgwhzbbnrmqndlgwv2wwju

The NASA Soil Moisture Active Passive (SMAP) mission: Overview

Peggy O'Neill, Dara Entekhabi, Eni Njoku, Kent Kellogg
2010 2010 IEEE International Geoscience and Remote Sensing Symposium  
The combined active/passive microwave soil moisture product will have a spatial resolution of 10 km and a mean latency of 24 hours.  ...  The Soil Moisture Active Passive (SMAP) mission is one of the first Earth observation satellites being developed by NASA in response to the National Research Council's Decadal Survey [1] .  ...  Based on the NRC recommendations and on its own evaluation of technical readiness, NASA selected the Soil Moisture Active Passive (SMAP) mission to be the first of the Decadal Survey missions to be developed  ... 
doi:10.1109/igarss.2010.5652291 dblp:conf/igarss/ONeillENK10 fatcat:azquozvhubezba5vboglmekuci

Development and assessment of the SMAP enhanced passive soil moisture product

S.K. Chan, R. Bindlish, P. O'Neill, T. Jackson, E. Njoku, S. Dunbar, J. Chaubell, J. Piepmeier, S. Yueh, D. Entekhabi, A. Colliander, F. Chen (+21 others)
2018 Remote Sensing of Environment  
The product distinguishes itself from the current SMAP Level 2 Passive Soil Moisture Product (L2_SM_P) in that the soil moisture retrieval is posted on a 9 km grid instead of a 36 km grid.  ...  This article covers the development and assessment of the SMAP Level 2 Enhanced Passive Soil Moisture Product (L2_SM_P_E).  ...  The product distinguishes itself from the 30 current SMAP Level 2 Passive Soil Moisture Product (L2_SM_P) in that the soil moisture 31 2.  ... 
doi:10.1016/j.rse.2017.08.025 pmid:32943797 pmcid:PMC7493025 fatcat:oteov5sqjrfydmxifee2flu6by

The Soil Moisture Active Passive (SMAP) applications activity

Molly E Brown, Susan Moran, Vanessa Escobar, Dara Entekhabi, Peggy O'Neill, Eni Njoku
2011 2011 IEEE International Geoscience and Remote Sensing Symposium  
The SMAP measurements will allow global and high-resolution mapping of soil moisture and its freeze/thaw state at resolutions from 3-40 km.  ...  The Soil Moisture Active Passive (SMAP) mission is one of the first-tier satellite missions recommended by the U.S. National Research Council Committee on Earth Science and Applications from Space.  ...  Eni Njoku and others at NASA Jet Propulsion Laboratory working on the SMAP team.  ... 
doi:10.1109/igarss.2011.6049670 dblp:conf/igarss/BrownMEEON11 fatcat:euef5c6dwzbbpilms55vck3kxq

Very High Spatial Resolution Downscaled SMAP Radiometer Soil Moisture in the CONUS Using VIIRS/MODIS Data

Bin Fang, Venkat Lakshmi, Michael Cosh, Christopher Hain
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
The 400-m/1-km downscaled SM products were validated using 125 in situ SM ground measurements acquired from the International Soil Moisture Network (ISMN).  ...  sciences, specifically after the Soil Moisture Active and Passive (SMAP) was launched in 2015.  ...  ACKNOWLEDGEMENTS The authors graciously acknowledge funding from the NASA Terrestrial Hydrology Program (Program Manager Jared Entin) that has supported this work.  ... 
doi:10.1109/jstars.2021.3076026 fatcat:kamd5c36b5aq7dexnoh5hdhn7m

Evaluation of SMAP Level 2, 3, and 4 Soil Moisture Datasets over the Great Lakes Region

Xiaoyong Xu
2020 Remote Sensing  
Thus far, much of our knowledge of the accuracy of SMAP soil moisture over the Great Lakes region of North America has originated from evaluation studies using in situ data from the U.S.  ...  In this work, SMAP Level 2‒4 soil moisture products: SMAP/Sentinel-1 L2 Radiometer/Radar Soil Moisture (SPL2SMAP_S), SMAP Enhanced L3 Radiometer Soil Moisture (SPL3SMP_E), and SMAP L4 Surface and Root-Zone  ...  Acknowledgments: Thanks go to the NASA National Snow and Ice Data Center Distributed Active Archive Center for the SMAP soil moisture products, and to Michigan State University and the Enviroweather project  ... 
doi:10.3390/rs12223785 fatcat:uqkmxtwwsndjjlngwsxwikb4uu
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