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Merging Alternate Remotely-Sensed Soil Moisture Retrievals Using a Non-Static Model Combination Approach

Seokhyeon Kim, Robert Parinussa, Yi Liu, Fiona Johnson, Ashish Sharma
2016 Remote Sensing  
In this study, an existing linear combination method improving R was modified to allow for a non-static or nonstationary model combination as the basis for improving remotely-sensed surface soil moisture  ...  In recent years, microwave-based soil moisture products have been shown to be a viable alternative to in situ measurements.  ...  As a viable alternative to in situ measurements of soil moisture, a number of microwave-based soil moisture retrieval algorithms and/or products have been developed [3] [4] [5] [6] [7] [8] and used in  ... 
doi:10.3390/rs8060518 fatcat:wayl7avh25ct5c3lujn5yfxim4

Guidance Index for Shallow Landslide Hazard Analysis

Cheila Avalon Cullen, Rafea Al-Suhili, Reza Khanbilvardi
2016 Remote Sensing  
Initially, root-soil moisture and rainfall measurements modeled from AMSR-E and TRMM respectively, are used as proxies to develop the index.  ...  Consecutively, as AMSR-E and TRMM stopped working in October 2011 and April 2015 respectively, root-soil moisture and rainfall measurements modeled by SMAP and GPM are used to develop models that calculate  ...  This work adopts remotely sensed daily soil moisture values, and experimentally uses a 10-day time-lapse analysis.  ... 
doi:10.3390/rs8100866 fatcat:aujmipbnxbb6toyrni7eujxaei

Maximizing Temporal Correlations in Long-Term Global Satellite Soil Moisture Data-Merging

Daniel Fiifi Tawia Hagan, Guojie Wang, Seokhyeon Kim, Robert M. Parinussa, Yi Liu, Waheed Ullah, Asher Samuel Bhatti, Xiaowen Ma, Tong Jiang, Buda Su
2020 Remote Sensing  
In this study, an existing combination approach that maximizes temporal correlations is used to combine six passive microwave satellite soil moisture products from 1998 to 2015 to assess its added value  ...  Five of the products used are included in existing merging schemes such as the European Space Agency's essential climate variable soil moisture (ECV) program.  ...  Remote Sens. 2020, 12, 2164  ... 
doi:10.3390/rs12132164 fatcat:ce24e23dqvardk6nbcfi7af6qa

A method for deriving land surface moisture, vegetation optical depth, and open water fraction from AMSR-E

Lucas A. Jones, John S. Kimball, Erika Podest, Kyle C. McDonald, Steven K. Chan, Eni G. Njoku
2009 2009 IEEE International Geoscience and Remote Sensing Symposium  
We developed an algorithm to estimate surface soil moisture, vegetation optical depth and fractional open water cover using satellite microwave radiometry.  ...  Soil moisture results compare favorably with a simple antecedent site precipitation index, and respond rapidly to precipitation events indicated by TRMM.  ...  The authors thank the site investigators for use of precipitation data.  ... 
doi:10.1109/igarss.2009.5417921 dblp:conf/igarss/JonesKMCN09 fatcat:osie7uejrzczjlywwfirjialwa

Evaluating the utility of satellite soil moisture retrievals over irrigated areas and the ability of land data assimilation methods to correct for unmodeled processes

S. V. Kumar, C. D. Peters-Lidard, J. A. Santanello, R. H. Reichle, C. S. Draper, R. D. Koster, G. Nearing, M. F. Jasinski
2015 Hydrology and Earth System Sciences Discussions  
In this article, irrigation is used as an example of a human engineered, unmodeled land surface process, and the utility of satellite soil moisture retrievals over irrigated areas in the continental US  ...  Satellite remote sensing is often the most practical and effective method to observe the land surface over large geographical areas.  ...  The NLDAS-2 forcing data used in this effort were acquired as part of the activities of NASA's Science Mission Directorate, and are archived and distributed by the Goddard Earth Sciences (GES) Data and  ... 
doi:10.5194/hessd-12-5967-2015 fatcat:qiduadlhvfgc7cloeqjo4zehv4

Evaluating the utility of satellite soil moisture retrievals over irrigated areas and the ability of land data assimilation methods to correct for unmodeled processes

S. V. Kumar, C. D. Peters-Lidard, J. A. Santanello, R. H. Reichle, C. S. Draper, R. D. Koster, G. Nearing, M. F. Jasinski
2015 Hydrology and Earth System Sciences  
In this article, irrigation is used as an example of a human-engineered, often unmodeled land surface process, and the utility of satellite soil moisture retrievals over irrigated areas in the continental  ...  Satellite remote sensing is often the most practical and effective method to observe the land surface over large geographical areas.  ...  The NLDAS-2 forcing data used in this effort were acquired as part of the activities of NASA's Science Mission Directorate, and are archived and distributed by the Goddard Earth Sciences (GES) Data and  ... 
doi:10.5194/hess-19-4463-2015 fatcat:7nizddxqnze2vh73kx4qupypwa

Data assimilation methods in the Earth sciences

Rolf H. Reichle
2008 Advances in Water Resources  
Remote sensing may provide, for example, measurements of surface soil moisture, snow water equivalent, snow cover, or land surface (skin) temperature.  ...  Data assimilation can then be used to estimate variables that are not directly observed from space but are needed for applications, for instance root zone soil moisture or land surface fluxes.  ...  The latter has been used for soil moisture assimilation [42] .  ... 
doi:10.1016/j.advwatres.2008.01.001 fatcat:p3eqlbi7ybf4noqpryaccmwpya

A Review of Irrigation Information Retrievals from Space and Their Utility for Users

Christian Massari, Sara Modanesi, Jacopo Dari, Alexander Gruber, Gabrielle J. M. De Lannoy, Manuela Girotto, Pere Quintana-Seguí, Michel Le Page, Lionel Jarlan, Mehrez Zribi, Nadia Ouaadi, Mariëtte Vreugdenhil (+12 others)
2021 Remote Sensing  
Knowing the distribution and extent of irrigated areas as well as the amount of water used for irrigation plays a central role in modeling irrigation water requirements and quantifying the impact of irrigation  ...  Here, we review existing Earth observation datasets, models, and algorithms used for irrigation mapping and quantification from the field to the global scale.  ...  Water and energy balance modeling approaches have also been investigated to assess irrigation water amounts using a combination of surface energy balance models and remote sensing data [66] [67] [68]  ... 
doi:10.3390/rs13204112 fatcat:3iohcj5455ehpjhs2gbfhtzcfa

Hydrologic Data Assimilation [chapter]

Paul R., Gabrille J.M. De Lannoy, Jeffrey P.
2012 Approaches to Managing Disaster - Assessing Hazards, Emergencies and Disaster Impacts  
A promising solution to improving the accuracy of the soil moisture in NWP models is to make use of novel remotely sensed observations of near-surface soil moisture, such as those available from AMSR-E  ...  sensed soil moisture may not be immediately useful for Météo-France's NWP model.  ... 
doi:10.5772/31246 fatcat:cavx35wc7ngh7c5rhmwkdil7au

Hydrologic Data Assimilation [chapter]

Jeffrey Walker, Paul Houser
2005 Advances in Water Science Methodologies  
A promising solution to improving the accuracy of the soil moisture in NWP models is to make use of novel remotely sensed observations of near-surface soil moisture, such as those available from AMSR-E  ...  sensed soil moisture may not be immediately useful for Météo-France's NWP model.  ... 
doi:10.1201/9780203086841.ch2 fatcat:abg4skazm5hs3pi7e73ded7sze

Establishing an Empirical Model for Surface Soil Moisture Retrieval at the U.S. Climate Reference Network Using Sentinel-1 Backscatter and Ancillary Data

Sumanta Chatterjee, Jingyi Huang, Alfred E. Hartemink
2020 Remote Sensing  
The approach shows the potential for retrieving SSM using Sentinel-1 data in a combination of high-resolution ancillary data across the conterminous United States (CONUS).  ...  Progress in sensor technologies has allowed real-time monitoring of soil water. It is a challenge to model soil water content based on remote sensing data.  ...  Alternatively, active and passive remote sensing data could be used to retrieve soil moisture coupled with statistical, empirical, and backscattering models [60] .  ... 
doi:10.3390/rs12081242 fatcat:f6eg2ywsjzhgpjzlbzoomo5doi

Land Surface Data Assimilation [chapter]

Paul R. Houser, Gabriëlle J.M. De Lannoy, Jeffrey P. Walker
2010 Data Assimilation  
Though remote sensing can make spatially comprehensive measurements of various components of the land surface system, it cannot provide information on the entire system (e.g. deep moisture stores), and  ...  Data assimilation is the application of recursive Bayesian estimation to combine current and past data in an explicit dynamical model, using the model's prognostic equations to provide time continuity  ...  surface model predictions using remote sensing data.  ... 
doi:10.1007/978-3-540-74703-1_21 fatcat:dr2nmccambfcdhcgt7wlk7at2u

Potential of Using Remote Sensing Techniques for Global Assessment of Water Footprint of Crops

Mireia Romaguera, Arjen Y. Hoekstra, Zhongbo Su, Maarten S. Krol, Mhd. Suhyb Salama
2010 Remote Sensing  
Remote sensing has long been a useful tool in global applications, since it provides physically-based, worldwide, and consistent spatial information.  ...  The source of remote sensing data is described and a simplified example is included, which uses evapotranspiration estimates from the geostationary satellite Meteosat 9 and precipitation estimates obtained  ...  Acknowledgement The authors wish to thank the referees and the guest editor of the special issue, Prasad Thenkabail, for their constructive remarks which have assisted us to improve the quality of the  ... 
doi:10.3390/rs2041177 fatcat:4vyxe73threvtjoyc3ih2bujyi

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  
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.  ...  A B S T R A C T The NASA Soil Moisture Active Passive (SMAP) mission was launched on January 31st, 2015.  ...  We also acknowledge contributions of many staff and personnel who helped in acquiring calibration and validation data that are used for this work.  ... 
doi:10.1016/j.rse.2018.04.011 fatcat:mlncjbo4xffynirvjmfqiwe7qa

A Monte Carlo based adaptive Kalman filtering framework for soil moisture data assimilation

Alexander Gruber, Gabrielle De Lannoy, Wade Crow
2019 Remote Sensing of Environment  
Alternatively, remote sensing techniques have been used for about two decades to obtain global soil moisture information on a regular basis, most successfully retrieved from active and passive microwave  ...  A B S T R A C T The main sources of global soil moisture information are remote sensing observations and land surface model estimates.  ...  Data assimilation (DA) is a powerful tool for combining the strengths of observational and modelled information by leveraging remote sensing (and ground-based) measurements to improve static model parameters  ... 
doi:10.1016/j.rse.2019.04.003 fatcat:sxm7rlo4gbeqtn56ytmz5egfvi
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