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Remote sensing for snow hydrology in China: challenges and perspectives

Jian Wang, Hongxing Li, Xiaohua Hao, Xiaodong Huang, Jinliang Hou, Tao Che, Liyun Dai, Tiangang Liang, Chunlin Huang, Hongyi Li, Zhiguang Tang, Zengyan Wang
2014 Journal of Applied Remote Sensing  
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

Andrew Snauffer, William Hsieh, Alex Cannon, Markus Schnorbus
2017 The Cryosphere Discussions  
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

Andrew M. Snauffer, William W. Hsieh, Alex J. Cannon, Markus A. Schnorbus
2018 The Cryosphere  
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?

F. Aires, C. Prigent
2006 Journal of Geophysical Research  
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

E. Santi, S. Pettinato, S. Paloscia, P. Pampaloni, G. Macelloni, M. Brogioni
2012 Hydrology and Earth System Sciences  
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

E. Santi, S. Pettinato, S. Paloscia, P. Pampaloni, G. Macelloni, M. Brogioni
2012 Hydrology and Earth System Sciences Discussions  
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

A. Mugnai, E. A. Smith, G. J. Tripoli, B. Bizzarri, D. Casella, S. Dietrich, F. Di Paola, G. Panegrossi, P. Sanò
2013 Natural Hazards and Earth System Sciences  
, 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

Linglong Zhu, Yonghong Zhang, Jiangeng Wang, Wei Tian, Qi Liu, Guangyi Ma, Xi Kan, Ya Chu
2021 Remote Sensing  
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

E. Binaghi, V. Pedoia, A. Guidali, M. Guglielmin
2013 The Cryosphere  
</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

Massimiliano Sist, Giovanni Schiavon, Fabio Del Frate
2021 Applied Sciences  
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

Yuan Li, Stefania Grimaldi, Jeffrey Walker, Valentijn Pauwels
2016 Remote Sensing  
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

Ebrahim Babaeian, Morteza Sadeghi, Scott B. Jones, Carsten Montzka, Harry Vereecken, Markus Tuller
2019 Reviews of Geophysics  
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

Matthieu Guimberteau, Dan Zhu, Fabienne Maignan, Ye Huang, Chao Yue, Sarah Dantec-Nédélec, Catherine Ottlé, Albert Jornet-Puig, Ana Bastos, Pierre Laurent, Daniel Goll, Simon Bowring (+16 others)
2017 Geoscientific Model Development Discussions  
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

Zhongyang Hu, Claudia Kuenzer, Andreas J. Dietz, Stefan Dech
2017 Remote Sensing  
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  
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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