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Remote sensing for snow hydrology in China: challenges and perspectives
2014
Journal of Applied Remote Sensing
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Snow is one of the most important components of the cryosphere. Remote sensing of snow focuses on the retrieval of snow parameters and monitoring of variations in snow using satellite data. ...
These parameters are key inputs for hydrological and atmospheric models. Over the past 30 years, the field of snow remote sensing has grown dramatically in China. ...
temperatures (i.e., AMSR-E and SSM/I) to improve snow depth and SWE estimates on the basis of ensemble Kalman filtering (EnKF). ...
doi:10.1117/1.jrs.8.084687
fatcat:mncxhhtl25etbj3t5sefxhb5dq
Improving gridded snow water equivalent products in British Columbia, Canada: multi-source data fusion by neural network models
2017
The Cryosphere Discussions
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Subsequent comparisons of the ANN results with predictions generated by the Variable Infiltration Capacity (VIC) hydrologic model found ANN3 to be superior over the entire VIC domain and within most physiographic ...
An artificial neural network (ANN) was created using as predictors six gridded SWE products previously evaluated for BC: ERA-Interim/Land, GLDAS-2, MERRA, MERRA-Land, GlobSnow and ERA-Interim. ...
CC BY 3.0 License. ...
doi:10.5194/tc-2017-56
fatcat:l5s74rqbsfh4fbwnrigt42tztq
Improving gridded snow water equivalent products in British Columbia, Canada: multi-source data fusion by neural network models
2018
The Cryosphere
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Subsequent comparisons with predictions generated by the Variable Infiltration Capacity (VIC) hydrologic model found ANN3 to better estimate SWE over the VIC domain and within most regions. ...
An artificial neural network (ANN) was created using as predictors six gridded SWE products previously evaluated for BC. ...
CC BY 3.0 License. ...
doi:10.5194/tc-12-891-2018
fatcat:r4vinxsvrzblzltt6lywalubfa
Toward a new generation of satellite surface products?
2006
Journal of Geophysical Research
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Innovative techniques have to be developed to merge these information sources and optimize the use of satellite measurements for better surface products and more predictability. ...
1] Despite the abundance and variety of remote sensing measurements, land surface characterization from satellite observations is still very challenging. ...
temperatures has been produced from the merging of 10 years of microwave SSM/I satellite measurements and ISCCP products. ...
doi:10.1029/2006jd007362
fatcat:dyyqmfvjlfdifjfe723hyml5ca
An algorithm for generating soil moisture and snow depth maps from microwave spaceborne radiometers: HydroAlgo
2012
Hydrology and Earth System Sciences
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The algorithm was then split into two branches, the first of which focused on the retrieval of SMC and the second, on SD. Both parameters were retrieved using Artificial Neural Network (ANN) methods. ...
</strong> A systematic and timely monitoring of land surface parameters that affect the hydrological cycle at local and global scales is of primary importance in obtaining a better understanding of geophysical ...
Both parameters were retrieved using Artificial Neural Network (ANN) 15 methods. ...
doi:10.5194/hess-16-3659-2012
fatcat:qx6asst26jfipncbrjd6obz2ra
An algorithm for generating soil moisture and snow depth maps from microwave spaceborne radiometers: Hydroalgo
2012
Hydrology and Earth System Sciences Discussions
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The algorithm was then split into two branches, the first of which focused on the retrieval of SMC and the second, on SD. Both parameters were retrieved using Artificial Neural Network (ANN) methods. ...
A systematic and timely monitoring of land surface parameters that affect the hydrological cycle at local and global scales is of primary importance in obtaining a better understanding of geophysical processes ...
This research work was partially supported by the ASI/PROSA Italian project, the JAXA ADEOS-II/AMSR-E and GCOM/AMSR2 missions, and by the CTOTUS project, which was co-funded by Regione Toscana within the ...
doi:10.5194/hessd-9-3851-2012
fatcat:56r3z6x7hrcx3aat72cf3mhpiy
CDRD and PNPR satellite passive microwave precipitation retrieval algorithms: EuroTRMM/EURAINSAT origins and H-SAF operations
2013
Natural Hazards and Earth System Sciences
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, designed to deliver satellite products of hydrological interest (precipitation, soil moisture and snow parameters) over the European and Mediterranean region to research and operations users worldwide ...
Two of these algorithms have been designed for maximum accuracy by restricting their inputs to measurements from conical and cross-track scanning passive microwave (PMW) radiometers mounted on various ...
Edited by: G. Boni Reviewed by: two anonymous referees ...
doi:10.5194/nhess-13-887-2013
fatcat:aeqhpribxffdzouse6jvyhwwdm
Downscaling Snow Depth Mapping by Fusion of Microwave and Optical Remote-Sensing Data Based on Deep Learning
2021
Remote Sensing
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This paper proposed a deep learning approach based on downscaling snow depth retrieval by fusion of satellite remote-sensing data with multiple spatial scales and diverse characteristics. ...
Accurate high spatial resolution snow depth mapping in arid and semi-arid regions is of great importance for snow disaster assessment and hydrological modeling. ...
thank National Satellite Meteorological Center that provides satellite microwave data (http://www.nsmc.org.cn/NSMC/Home/Index.html (accessed on 1 November 2020)), thank National Meteorological Information ...
doi:10.3390/rs13040584
fatcat:ynpptuhtrrgxfjtudi5v4xvrqe
Snow cover thickness estimation using radial basis function networks
2013
The Cryosphere
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</strong> This paper reports an experimental study designed for the in-depth investigation of how the radial basis function network (RBFN) estimates snow cover thickness as a function of climate and topographic ...
situations originated by lack of data and limited <i>n</i>-homogeneously distributed instrumented sites. ...
Edited by: J. L. Bamber ...
doi:10.5194/tc-7-841-2013
fatcat:62okovc7t5hijg2z2otpne2c7i
A New Data Fusion Neural Network Scheme for Rainfall Retrieval Using Passive Microwave and Visible/Infrared Satellite Data
2021
Applied Sciences
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A new data fusion technique based on Artificial Neural Networks (ANN) for the design of a rainfall retrieval algorithm is presented. ...
The use of both VIS/IR (VISible and InfraRed) data from GEO (Geostationary Earth Orbit) satellite and of passive microwave data from LEO (Low Earth Orbit) satellite can take advantage of both types of ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app11104686
doaj:4d9ebcc7e6d04821aae58f28084a6fc2
fatcat:cpmqa2t25vbbjhwmdsfyqumi7a
Application of Remote Sensing Data to Constrain Operational Rainfall-Driven Flood Forecasting: A Review
2016
Remote Sensing
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The rapid development of hydrologic remote sensing offers a potential to provide additional/alternative forcing and constraint to facilitate timely and reliable forecasts. ...
The forecasting models need to be driven by input data and further constrained by historical and real-time observations using batch calibration and/or data assimilation techniques so as to produce relatively ...
Acknowledgments: This study is financially supported by the Bushfires and Natural Hazards CRC ...
doi:10.3390/rs8060456
fatcat:cbxlmrs4mjejha7fcsotmwsi3m
Ground, Proximal and Satellite Remote Sensing of Soil Moisture
2019
Reviews of Geophysics
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Potential applications include, but are not limited to, forecasting of weather and climate variability; prediction and monitoring of drought conditions; management and allocation of water resources; agricultural ...
Soil moisture (SM) is a key hydrologic state variable that is of significant importance for numerous Earth and environmental science applications that directly impact the global environment and human society ...
Acknowledgments We acknowledge funding from the National Science Foundation (NSF) via grants 1521164 and 1521469 awarded to the University of Arizona and Utah State University. ...
doi:10.1029/2018rg000618
fatcat:hcfa2uqiz5ffnf7o3fijc6rnwu
ORCHIDEE-MICT (revision 4126), a land surface model for the high-latitudes: model description and validation
2017
Geoscientific Model Development Discussions
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Outputs from ORCHIDEE-MICT, when forced by two climate input data sets, are extensively evaluated against: (i) temperature gradients between the atmosphere and deep soils; (ii) the hydrological components ...
In addition, acute model sensitivity to the choice of input forcing data suggests that the calibration of model parameters is strongly forcing-dependent. ...
The product results from the merging of soil moisture estimations inversed from two types of instruments and two methodologies: passive microwave radiometers (SMMR, SSM/I, TMI, AMSR-E, AMSR2 and WindSat ...
doi:10.5194/gmd-2017-122
fatcat:wlu6bzyuunfwrdppy47hfzoqxq
The Potential of Earth Observation for the Analysis of Cold Region Land Surface Dynamics in Europe—A Review
2017
Remote Sensing
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With this review article we aim at closing this gap by providing an overview of EO-based techniques for cold region observation in Europe, focusing on the dynamics of glaciers and snow. ...
We present a novel spatial delineation of cold regions for Europe before analyzing the benefits and limitations of different EO sensor types and data processing methods for EO based cold region research ...
Acknowledgments: The authors would like to thank the China Scholarship Council for the financial support of ...
doi:10.3390/rs9101067
fatcat:irinzpju25hhjjmxcxhjui22xq
2005 Index
2005
IEEE Transactions on Geoscience and Remote Sensing
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Rain; Snow Atmospheric temperature neural-network technique for the retrieval of atmospheric temperature and moisture profiles. ...
., + , T-GRS May 05 960-972 melt and freeze stages of melt cycle, SSM/I channel ratios, differentiation. ...
doi:10.1109/tgrs.2005.861474
fatcat:peucpnumgfchhhwbn665yvx7ue
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