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Development and Evaluation of a Multi-Year Fractional Surface Water Data Set Derived from Active/Passive Microwave Remote Sensing Data

Ronny Schroeder, Kyle McDonald, Bruce Chapman, Katherine Jensen, Erika Podest, Zachary Tessler, Theodore Bohn, Reiner Zimmermann
2015 Remote Sensing  
The approach employs a land cover-supported, atmospherically-corrected dynamic mixture model applied to 20+ years (1992-2013) of combined, daily, passive/active microwave remote sensing data.  ...  We present a microwave satellite-based approach for mapping fractional surface water (FW) globally at 25-km resolution.  ...  Acknowledgments: Development of this dataset was supported by the NASA Making Earth Science Data  ... 
doi:10.3390/rs71215843 fatcat:t5lgblx5ircrlhi6y55oout32a

Estimating Root Zone Soil Moisture Across the Eastern United States with Passive Microwave Satellite Data and a Simple Hydrologic Model

Douglas Baldwin, Salvatore Manfreda, Henry Lin, Erica A.H. Smithwick
2019 Remote Sensing  
Active Passive (SMAP) data products.  ...  Satellite datasets offer ample spatial coverage of near-surface soil moisture content at up to a daily time-step, but satellite-derived data products are currently too coarse in spatial resolution to use  ...  Acknowledgments: We also wish to acknowledge the Shale Hills Critical Zone Observatory for sharing data and facilitating this catchment-scale research.  ... 
doi:10.3390/rs11172013 fatcat:qsqsgabbovg2jcqe5mzjmt7tdq

The Effect of Three Different Data Fusion Approaches on the Quality of Soil Moisture Retrievals from Multiple Passive Microwave Sensors

Robin van der Schalie, Richard de Jeu, Robert Parinussa, Nemesio Rodríguez-Fernández, Yann Kerr, Amen Al-Yaari, Jean-Pierre Wigneron, Matthias Drusch
2018 Remote Sensing  
Matthias Drusch provided support in the "Passive Microwave Soil Moisture Data Fusion Study" project and main direction of the study.  ...  Amen Al-Yaari and Yann Kerr prepared the REG dataset and contributed to the writing and revising of the manuscript.  ...  In 2010, ESA initiated a project with the goal of developing a consistent long-term dataset of soil moisture derived from a wide range of active and passive microwave sensors (  ... 
doi:10.3390/rs10010107 fatcat:fnlpetgh5nagba7xjb3uut7fka

Global-scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to Land Data Assimilation System estimates

A. Al-Yaari, J.-P. Wigneron, A. Ducharne, Y. Kerr, P. de Rosnay, R. de Jeu, A. Govind, A. Al Bitar, C. Albergel, J. Muñoz-Sabater, P. Richaume, A. Mialon
2014 Remote Sensing of Environment  
In this study, a comparative analysis of this Level 3 product (referred to as SMOSL3) along with another Surface SM (SSM) product derived from the observations of the Advanced Microwave Scanning Radiometer  ...  2/51 Global Level-3 surface Soil Moisture (SM) maps derived from the passive microwave SMOS (Soil Moisture and Ocean Salinity) observations at L-band have recently been released.  ...  Acknowledgments The authors would like to thank the two anonymous reviewers for their helpful comments and the TOSCA (Terre Océan Surfaces Continentales et Atmosphère) CNES program and the Islamic Development  ... 
doi:10.1016/j.rse.2014.04.006 fatcat:glzqe3v3t5cj5nsouc5sn4bd3i

The Soil Moisture Active Passive Experiments (SMAPEx): Toward Soil Moisture Retrieval From the SMAP Mission

Rocco Panciera, Jeffrey P. Walker, Thomas J. Jackson, Douglas A. Gray, Mihai A. Tanase, Dongryeol Ryu, Alessandra Monerris, Heath Yardley, Christoph Rudiger, Xiaoling Wu, Ying Gao, Jorg M. Hacker
2014 IEEE Transactions on Geoscience and Remote Sensing  
The Soil Moisture Active Passive Experiments (SMAPEx) are a series of three airborne field experiments designed to provide prototype SMAP data for the development and validation of soil moisture retrieval  ...  NASA's Soil Moisture Active Passive (SMAP) mission will carry the first combined spaceborne L-band radiometer and Synthetic Aperture Radar (SAR) system with the objective of mapping near-surface soil moisture  ...  The Soil Moisture Active Passive Experiments (SMAPEx) were designed to provide an extensive data set of L-band radar and radiometer airborne observations to serve as an algorithm development test-bed for  ... 
doi:10.1109/tgrs.2013.2241774 fatcat:pvutrgfzmnevbeoxbijwcur4em

Evaluation of ESA Active, Passive and Combined Soil Moisture Products Using Upscaled Ground Measurements

Luyao Zhu, Hongquan Wang, Cheng Tong, Wenbin Liu, Benxu Du
2019 Sensors  
The European Space Agency (ESA) Climate Change Initiative (CCI) project combines multi-sensors at different microwave frequencies to derive three harmonized soil moisture products using active, passive  ...  To fulfill this objective, we assess the performances of three CCI soil moisture products (active, passive and combined) with respect to in-situ soil moisture networks located in China, Spain and Canada  ...  for providing the soil moisture ground measurements data, and the anonymous reviewers for improving the paper.  ... 
doi:10.3390/s19122718 fatcat:bcijo5n3g5d3dhbvwrnnloh7zi

Dual state/rainfall correction via soil moisture assimilation for improved streamflow simulation: evaluation of a large-scale implementation with Soil Moisture Active Passive (SMAP) satellite data

Yixin Mao, Wade T. Crow, Bart Nijssen
2020 Hydrology and Earth System Sciences  
The Soil Moisture Active Passive (SMAP) satellite surface SM retrievals are assimilated to simultaneously correct antecedent SM states in the model and rainfall estimates from the Global Precipitation  ...  In this study, an existing dual state/rainfall correction system is extended and implemented in the 605 000 km2 Arkansas–Red River basin with a semi-distributed land surface model.  ...  NNX16AC50G and 13-THP13-0022) and the Pathfinder Fellowship by CUAHSI with support from the National Science Foundation (NSF) (grant no. EAR-1338606). Review statement.  ... 
doi:10.5194/hess-24-615-2020 fatcat:ilgzdnp44jcopg5mcjbail7nqa

Characterization of Backscatter by Surface Features in L-Band Active Microwave Remote Sensing of Soil Moisture

Narendra N. Das, Binayak P. Mohanty, Eni G. Njoku
2008 IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium  
Satellite-based remote sensing of soil moisture is generally conducted with active (radar) and passive (radiometer) microwave measurements.  ...  During active microwave remote sensing the backscattering from the target i.e, the soil surface is adversely affected by the overlaying vegetation, consequently, sending degraded signal back to the radar  ...  Microwave (active/passive) remote sensing of soil moisture, however, remains an active area of investigation because of its dependency on variety of geophysical parameters (e.g., precipitation, soil type  ... 
doi:10.1109/igarss.2008.4779119 dblp:conf/igarss/DasMN08 fatcat:4kyclo3ytrarrcjuvplhovgkca

Remote sensing of drought: Progress, challenges and opportunities

A. AghaKouchak, A. Farahmand, F. S. Melton, J. Teixeira, M. C. Anderson, B. D. Wardlow, C. R. Hain
2015 Reviews of Geophysics  
The success of this mission led to a series of additional weather-and climate-oriented satellite remote sensing missions.  ...  Current and future satellite missions offer opportunities to develop composite and multi-indicator drought models.  ...  than most remote sensing-based data products derived from a single sensor or satellite mission (see Figure 2 ).  ... 
doi:10.1002/2014rg000456 fatcat:uppjpf7vr5cs7brh6v7oylny44

A 1 km daily surface soil moisture dataset of enhanced coverage under all-weather conditions over China in 2003–2019

Peilin Song, Yongqiang Zhang, Jianping Guo, Jiancheng Shi, Tianjie Zhao, Bing Tong
2022 Earth System Science Data  
Moreover, the evaluation results also show that the developed product outperforms the SMAP (Soil Moisture Active Passive) and Sentinel (activepassive microwave) combined SSM product at 1 km, with a correlation  ...  MODIS optical reflectance data and daily thermal-infrared land surface temperature (LST) that had been gap-filled for cloudy conditions were the primary data inputs of the downscaling model so that the  ...  The authors would like to thank the National Aeronautics and Space Administration (NASA) for providing all MODIS and DEM datasets free of charge.  ... 
doi:10.5194/essd-14-2613-2022 fatcat:6vuc32ca65azte2mhfq7f5v4oy

Satellite Flood Inundation Assessment and Forecast using SMAP and Landsat

Jinyang Du, John Kimball, Justin Sheffield, Ming Pan, Colby K. Fisher, Hylke E. Beck, Eric Wood
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Here, surface fractional water cover (FW) retrievals derived from Soil Moisture Active Passive (SMAP) L-band (1.4 GHz) brightness temperatures were used for flood assessment over southeast Africa during  ...  We then focused on five sub-catchments of the Pungwe basin and developed a machine learning-based approach with the support of Google Earth Engine (GEE) for daily (24-hour) forecasting of FW and 30-m inundation  ...  Microwave remote sensing is another powerful tool for flood monitoring due to the strong microwave sensitivity to surface water, and relative insensitivity to solar illumination, atmosphere and cloud cover  ... 
doi:10.1109/jstars.2021.3092340 fatcat:6nm7wwqu6bhz3p74xqnu3q3e5u

Analysis of the Radar Vegetation Index and Potential Improvements

Christoph Szigarski, Thomas Jagdhuber, Martin Baur, Christian Thiel, Marie Parrens, Jean-Pierre Wigneron, Maria Piles, Dara Entekhabi
2018 Remote Sensing  
Active and passive microwave information is used jointly to obtain the scattering contribution of the soil, using a physics-based multi-sensor approach; simulations from a particle model for polarimetric  ...  from surface roughness and soil moisture contributions.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs10111776 fatcat:6oklva3xdrcozksxi25rvhgm54

Research advances of SAR remote sensing for agriculture applications: A review

Chang-an LIU, Zhong-xin CHEN, Yun SHAO, Jin-song CHEN, Tuya Hasi, Hai-zhu PAN
2019 Journal of Integrative Agriculture  
In the future, the joint use of optical and SAR remote sensing data, the application of multi-band multi-dimensional SAR, the precise and high efficient modeling of electromagnetic scattering and parameter  ...  In recent years, with the remarkable progresses in SAR remote sensing systems, the available SAR data sources have been greatly enriched.  ...  Acknowledgements This work was supported in part by the National Natural Science Foundation of China (61661136006 and 41371396). Allain S, Ferro-Famil L, Pottier E. 2003.  ... 
doi:10.1016/s2095-3119(18)62016-7 fatcat:a4v7kcn3lvfxza7z4d4hfwdeau

A Review of Remote Sensing for Environmental Monitoring in China

Jun Li, Yanqiu Pei, Shaohua Zhao, Rulin Xiao, Xiao Sang, Chengye Zhang
2020 Remote Sensing  
This paper reviews the satellite resources, institutions and policies for environmental monitoring in China, and the advances in research and application of remote sensing from five aspects: ecological  ...  As a developing country, China has witnessed a significant change in the natural environment in recent decades; and therefore, monitoring and mastering the status of the environment is of great significance  ...  All authors have read and agreed to the published version of the manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12071130 doaj:a3cca73bb5b948c28c301d8bc40cf9f5 fatcat:hrnme56p5fawjkukensc25nfme

Validation of Regional-Scale Remote Sensing Products in China: From Site to Network

Shuguo Wang, Xin Li, Yong Ge, Rui Jin, Mingguo Ma, Qinhuo Liu, Jianguang Wen, Shaomin Liu
2016 Remote Sensing  
Validation is mandatory to quantify the reliability of remote sensing products (RSPs).  ...  to allow for comprehensive assessment of RSPs from site or regional scales to the national scale across various zones; and (4) an operational RSP evaluation system to implement operational validation  ...  Acknowledgments: This research was supported by the Natural Science Foundation of China projects  ... 
doi:10.3390/rs8120980 fatcat:yuvycxfe2vcidj6zj2omvnaqqu
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