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A method for deriving land surface moisture, vegetation optical depth, and open water fraction from AMSR-E
2009
2009 IEEE International Geoscience and Remote Sensing Symposium
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We developed an algorithm to estimate surface soil moisture, vegetation optical depth and fractional open water cover using satellite microwave radiometry. ...
Optical depth varies with characteristic seasonality across vegetation cover types and tracks measures of vegetation canopy cover from MODIS. ...
The authors thank the site investigators for use of precipitation data. ...
doi:10.1109/igarss.2009.5417921
dblp:conf/igarss/JonesKMCN09
fatcat:osie7uejrzczjlywwfirjialwa
On the potential of the AMSR-E based Polarization Ratio Variation Index (PRVI) for soil wetness variations monitoring
2010
2010 IEEE International Geoscience and Remote Sensing Symposium
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scale. ...
The sole ground-based measurements of soil moisture are not able to assure sufficient information because of the extreme spatial variability of point measurements and the impracticality of obtaining a ...
PRVI has been computed through a multi-temporal analysis of long-term historical series of AMSR-E C-band data. ...
doi:10.1109/igarss.2010.5652110
dblp:conf/igarss/LacavaCMPT10
fatcat:uvhovegskratjdsrq6x5n4tblm
Rice Drought Damage Assessment Using AMSR-E Data Inversion of Surface Temperature
2022
Computational Intelligence and Neuroscience
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sensing observation data (AMSR-E), a statistical model of rice meteorological yield and drought index under the influence of drought is established. ...
The extreme drought events caused by global warming have become one of the major issues of general concern all over the world. ...
Acknowledgments e authors would like to show sincere thanks to those techniques who have contributed to this research. Supported by National Natural Science Foundation of China (No. 42175193). ...
doi:10.1155/2022/4117481
pmid:35619753
pmcid:PMC9129950
fatcat:mtaj4ossi5d6xcp5iammqwjs2e
Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
2011
Hydrology and Earth System Sciences
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First, volumetric soil water content (m 3 m −3 ) from AMSR-E and degree of saturation (%) from ASCAT are rescaled against a reference land surface model data set using a cumulative distribution function ...
These transitional regions also delineate the boundary between sparsely and moderately vegetated regions where rescaled AMSR-E and ASCAT, respectively, are used for the merged product. ...
We would like to thank Bob Su and Diego Fernandez-Prieto for their support. The development of the long term soil moisture dataset was also supported by the European Union (FP7) ...
doi:10.5194/hess-15-425-2011
fatcat:4xhduc3xovgapahayl4ol7deua
Seven Years of Advanced Synthetic Aperture Radar (ASAR) Global Monitoring (GM) of Surface Soil Moisture over Africa
2014
Remote Sensing
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continent using coarse spatial resolution SSM acquisitions from the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) and the Noah land surface model from the Global Land Data ...
(RMSD) = 11% when averaged to 5-km resolution) to monitor temporal soil moisture variability in regions with low to medium density vegetation and yearly rainfall >250 mm. ...
Alena Dostálová, Bernhard Bauer-Marschallinger), data evaluation over Africa (Alena Dostálová) and preparation of the manuscript and figures (Alena Dostálová, Marcela Doubková). ...
doi:10.3390/rs6087683
fatcat:qzasytl7jfejvjvo26bktlhime
Soil Moisture Remote Sensing for Numerical Weather Prediction: L-Band and C-Band Emission Modeling Over Land Surfaces, the Community Microwave Emission Model (CMEM)
2008
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
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It is used in this paper to simulate brightness temperatures at local and regional scales over SMOSREX (France) and AMMA (West Africa), respectively. ...
Background errors in simulated brightness temperatures are quantified at different frequencies and incidence angles for these two sites. ...
SDV are normalized by the SDV of the AMSR-E observations. ...
doi:10.1109/igarss.2008.4779054
dblp:conf/igarss/RosnayDWHBBRCK08
fatcat:hgyupzg3v5dojd7qt4g2mlybbe
A global analysis of satellite derived and DGVM surface soil moisture products
2011
Hydrology and Earth System Sciences Discussions
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In this paper we assess the possibility of using remotely sensed soil moisture (AMSR-E) to evaluate the results of 5 the process-based vegetation model ORCHIDEE during the period 2003-2004. ...
We find that the soil moisture products of AMSR-E and ORCHIDEE correlate well, in particular when considering the root zone soil moisture of ORCHIDEE. ...
We also thank the PIs of the Fluxnet sites who allowed us to use their data for the validation of the model and satellite observations. ...
doi:10.5194/hessd-8-4281-2011
fatcat:ix4ixukh7zbapgwtmtyeh5pyum
Evaluation of AMSR-E soil moisture product based on ground measurements over temperate and semi-arid regions
2008
Geophysical Research Letters
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Evaluation of AMSR-E soil moisture product based on ground measurements over temperate and semi-arid regions. ...
Indeed, due to serious 326 contamination by RFI, multi-source information provided 327 by the different operating frequencies of AMSR-E is not 328 fully used in the NASA AMSR-E processing chain. ...
sites are used for validating AMSR-E products 65 under contrasted surface and weather conditions, in Europe 66 with the SMOSREX (Surface Monitoring Of Soil Reservoir 67 Experiment) project and in Sahel ...
doi:10.1029/2008gl033330
fatcat:ctjkmzgoi5celngsazhbszbtoq
A Global Grassland Drought Index (GDI) Product: Algorithm and Validation
2015
Remote Sensing
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trends) and the SPI's simplicity of calculation and multi-temporal nature. ...
The SPEI is particularly well suited to detect the effects of global warming on drought conditions [21] . The second category of drought indices monitor drought by evaluating vegetation conditions. ...
by Zhanmang Liao, and revised by Xing Li and Xingwen Quan. ...
doi:10.3390/rs71012704
fatcat:hn7b3vpe5re7de67dj73iu52s4
A global analysis of soil moisture derived from satellite observations and a land surface model
2012
Hydrology and Earth System Sciences
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In this paper we assess the possibility of using remotely sensed soil moisture – AMSR-E (LPRM) – to similate soil moisture dynamics of the process-based vegetation model ORCHIDEE by ...
However, the root zone soil moisture in ORCHIDEE has on average a higher temporal autocorrelation relative to AMSR-E (LPRM) and in situ measurements. ...
We also thank the PIs of the Fluxnet sites who allowed us to use their data for the validation of the model and satellite observations. ...
doi:10.5194/hess-16-833-2012
fatcat:alfrwv3linbzzjrris7sqt75qu
Combining MODIS and AMSR-E-based vegetation moisture retrievals for improved fire risk monitoring
2006
Remote Sensing and Modeling of Ecosystems for Sustainability III
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Regression analysis between AMSR-E VWC and spatially aggregated MODIS NDII (Normalized Difference Infrared Index) was first used to scale MODIS NDII to MODIS VWC products. ...
This technique thus has the potential for ensuring the data continuity of high spatial resolution VWC products, a requirement essential for fire risk monitoring. ...
In the final step the approximation image is replaced by AMSR-E VWC image scaled by 16. ...
doi:10.1117/12.681147
fatcat:hd2enudwdvaxfabfrnaac7ynci
Soil moisture retrieval from AMSR-E
2003
IEEE Transactions on Geoscience and Remote Sensing
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Examples of AMSR-E brightness temperature observations over land are shown from the first few months of instrument operation, indicating general features of global vegetation and soil moisture variability ...
The AMSR-E sensor calibration and extent of radio frequency interference are currently being assessed, to be followed by quantitative assessments of the soil moisture retrievals. ...
Effects of spatial averaging should be considered, therefore, when using AMSR-E data in conjunction with in situ data to study the natural variability of soil moisture at different temporal and spatial ...
doi:10.1109/tgrs.2002.808243
fatcat:xza553cm2bcvvht5trmtpdbtnu
The impact of land surface temperature on soil moisture anomaly detection from passive microwave observations
2011
Hydrology and Earth System Sciences Discussions
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In the past, several satellite sensors such as the Advanced Microwave Scanning Radiometer-EOS (AMSR-E) and WindSat have been used to retrieve surface soil moisture using multi-channel observations obtained ...
temperature output on the accuracy of WindSat and AMSR-E based surface soil moisture retrievals. ...
Edited by: W. Wagner ...
doi:10.5194/hessd-8-6683-2011
fatcat:2kd5kx6sujennmhivxfy2nu6na
The impact of land surface temperature on soil moisture anomaly detection from passive microwave observations
2011
Hydrology and Earth System Sciences
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In the past, several satellite sensors such as the Advanced Microwave Scanning Radiometer-EOS (AMSR-E) and WindSat have been used to retrieve surface soil moisture using multi-channel observations obtained ...
WindSat and AMSR-E based surface soil moisture retrievals. ...
Edited by: W. Wagner ...
doi:10.5194/hess-15-3135-2011
fatcat:okqvi2aetnegndlc5o37zr7vdm
A Novel Method for Long Time Series Passive Microwave Soil Moisture Downscaling over Central Tibet Plateau
2022
Remote Sensing
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The coarse scale of passive microwave surface soil moisture (SSM) is not suitable for regional agricultural and hydrological applications such as drought monitoring and irrigation management. ...
Therefore, this suggests that the SMRFM can be used to estimate MODIS SSM with long time series by AMSR-E SSM downscaling in the study. ...
Acknowledgments: We would like to thank JAXA for making the AMSR-E soil moisture data publicly available and ISMN for providing the SMTMN in situ soil moisture data. ...
doi:10.3390/rs14122902
fatcat:oiowamkivnfp3kpuenutgl7kki
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