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Role of Passive Microwave Remote Sensing in Improving Flood Forecasts

Rajat Bindlish, Wade T. Crow, Thomas J. Jackson
2009 IEEE Geoscience and Remote Sensing Letters  
Remotely sensed surface soil moisture observations are a viable source of such information and can potentially improve flood peak timing and magnitude forecasting in such events.  ...  Use of a simple adaptive model demonstrates that AMSR-E passive microwave observations can add skill to streamflow forecasts during the event.  ...  DISCUSSION AND CONCLUSION Two characteristics of microwave remote-sensing observations make them uniquely valuable for flood forecasting.  ... 
doi:10.1109/lgrs.2008.2002754 fatcat:etxkq4gmdbev5lgpuy5p3kzv2m

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  
This has brought increasing interest to exploring the use of remote sensing data for flood forecasting.  ...  This paper reviews the recent advances on integration of remotely sensed precipitation and soil moisture with rainfall-runoff models for rainfall-driven flood forecasting.  ...  Recent advances in using RS-SM data for flood forecasting have provided evidence that the integration of remote sensing data with model predictions could lead to improved forecasts.  ... 
doi:10.3390/rs8060456 fatcat:cbxlmrs4mjejha7fcsotmwsi3m

Developments in Remote Sensing Techniques for Hydrological Studies

R. P. Singh, P. K. Gupta
2016 Proceedings of the Indian National Science Academy  
Satellites provide an important role in measurements of various dimensions of water cycle components in spatio-temporal domain.  ...  Variability of various hydro-meteorological parameters and recent satellite based observation on flood and hydrological drought condition in selected regions over India isdiscussed.  ...  Mehul R Pandya, Shri V M Ramanujam, Shri C Patnaik and scientists of Land Hydrology Division for their inputs and constructive discussions.  ... 
doi:10.16943/ptinsa/2016/48484 fatcat:tve6prmtarglzhuco7b2vdwv2a

Upstream satellite remote sensing for river discharge forecasting: Application to major rivers in South Asia

Feyera A. Hirpa, Thomas M. Hopson, Tom De Groeve, G. Robert Brakenridge, Mekonnen Gebremichael, Pedro J. Restrepo
2013 Remote Sensing of Environment  
In this work we demonstrate the utility of satellite remote sensing for river discharge nowcasting and forecasting for two major rivers, the Ganges and Brahmaputra, in southern Asia.  ...  of remotely sensed flow information to track the downstream propagation of river flow waves and 2) evaluate their use in producing river flow nowcasts, and forecasts at 1-15 days lead time.  ...  We are grateful for the Flood Forecasting and Warning Center of Bangladesh for providing the river stage data used in this project, and for the assistance of Jennifer Boehnert with GIS support.  ... 
doi:10.1016/j.rse.2012.11.013 fatcat:433wj27jgffrpiujstz4mv6nkq

On the Use of Global Flood Forecasts and Satellite-Derived Inundation Maps for Flood Monitoring in Data-Sparse Regions

Beatriz Revilla-Romero, Feyera Hirpa, Jutta Pozo, Peter Salamon, Robert Brakenridge, Florian Pappenberger, Tom De Groeve
2015 Remote Sensing  
forecasts, and (3) the quantitative validation of global flood disasters in data-sparse regions is highly challenging.  ...  Early flood warning and real-time monitoring systems play a key role in flood risk reduction and disaster response decisions.  ...  Acknowledgments We greatly thank Pascaline Wallemacq from CRED for providing us the geo-reference of the flood affected areas used in this study.  ... 
doi:10.3390/rs71115702 fatcat:ujrk7tr2pndalh2jl36el66rfy

A review of Canadian remote sensing applications in hydrology, 1995-1999

Alain Pietroniro, Robert Leconte
2000 Hydrological Processes  
The role of Earth observation technologies in flood mapping: a Manitoba case study. Canadian Journal of Remote Sensing 22(1): 137—143.  ...  Process. 14, 1641-1666 (2000) REMOTE SENSING APPLICATIONS IN HYDROLOGY 1651 and passive microwave data.  ... 
doi:10.1002/1099-1085(20000630)14:9<1641::aid-hyp75>;2-i fatcat:etpyaosa7bgr7afchvhoa4o7ca


2002 Research Perspectives in Hydraulics and Water Resources Engineering  
This paper gives a brief overview of the potential applications of remote sensing in water resources.  ...  | With the introduction of the earth observing satellites, remote sensing has become an important tool in analyzing the Earth's surface characteristics, and hence in supplying valuable information necessary  ...  Acknowledgement This work is partially supported by Ministry of Earth Sciences, Govt. of India, through project no. MoES/ATMOS/PP-IX/09.  ... 
doi:10.1142/9789812777614_0008 fatcat:w52kw3wgbzfljpfv6jkfzpmnee

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  
The capability and synergistic use of multi-source satellite observations for flood monitoring and forecasts is crucial for improving disaster preparedness and mitigation.  ...  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  ...  over the surrounding region played a more important role in the forecast.  ... 
doi:10.1109/jstars.2021.3092340 fatcat:6nm7wwqu6bhz3p74xqnu3q3e5u

Remote Sensing in Agriculture

Anindya Sundar Ray
2016 International Journal of Environment Agriculture and Biotechnology  
Remote sensing is two types viz, active and passive remote sensing. Passive remote sensing: It makes use of seasons that detects the reflected/emitted electromagnetic radiation natural sources.  ...  Remote sensing technology uses the visible, infrared and microwave regions of radiation to collect information about the various objects on the earth surface.  ...  There can be two broad approaches for the use of remote sensing data in the yield forecasting.  ... 
doi:10.22161/ijeab/1.3.8 fatcat:oraxbddfdrerhmbiviiwij4qwy

Table of contents

2009 IEEE Geoscience and Remote Sensing Letters  
Maeda 107 Role of Passive Microwave Remote Sensing in Improving Flood Forecasts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Yeo 102 Experiment and Theoretical Study of Earthquake Detection Capability by Means of Microwave Passive Sensors on a Satellite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/lgrs.2008.2010766 fatcat:dwqftiwtwjbz5aub2sejea3oli

Index [chapter]

2021 Earth Observation for Flood Applications  
radiometry, 357 Passive microwave remote sensing, 39 Passive microwave remote sensing for flood mapping, methods for, 41 Pechora River, 354f PERSIANN.  ...  , 117 Crowdsourcing data using AI, extracting flood information from, 296 significant role in, 296 CSI.  ... 
doi:10.1016/b978-0-12-819412-6.00021-3 fatcat:a7v6p3ku3jbdtf5awcluvleqby

Soil Moisture Remote Sensing across Scales

Nemesio Rodríguez-Fernández, Ahmad Al Bitar, Andreas Colliander, Tianjie Zhao
2019 Remote Sensing  
We summarize the 13 articles collected in this Special Issue on soil moisture remote sensing across scales in terms of the spatial, temporal, and frequency scales studied.  ...  Soil moisture plays an important role in the water, carbon, and energy cycles.  ...  Acknowledgments: We thank the Remote Sensing Editorial Office staff (in particular Nelson Peng) and the "Remote Sensing in Geology, Geomorphology and Hydrology" Section Editor-in-Chief (Richard Gloaguen  ... 
doi:10.3390/rs11020190 fatcat:vz7eji5nxbcllh4p4ewf7eyx3y

On the Use of Satellite Passive Microwave Data for Estimating Surface Soil Wetness in the Mackenzie River Basin [chapter]

Robert Leconte, Marouane Temimi, Naira Chaouch, François Brissette, Thibault Toussaint
2008 Cold Region Atmospheric and Hydrologic Studies. The Mackenzie GEWEX Experience  
A methodology based on the combined use of passive microwave and visible data, along with topographic information, has been developed to separate the open water from the soil surface component in estimating  ...  A method is presented to obtain dynamic estimates of basin wetness (BWI) and fractional water surface (FWS) indices at the scale of the Mackenzie River Basin using SSM/l remotely sensed brightness temperature  ...  Passive microwave remote sensing offers a promising avenue to retrieve soil moisture at the watershed scale because of the high sensitivity of the microwave frequencies to the amount of water at the soil  ... 
doi:10.1007/978-3-540-75136-6_4 fatcat:ydfdiozb25fhfnparhir25tqli

Hydrologic Remote Sensing and Land Surface Data Assimilation

Hamid Moradkhani
2008 Sensors  
Much success has been attained in recent years in using data from passive microwave sensors and assimilating them into the models.  ...  Measurement of these two variables is possible through variety of methods using ground-based and remote sensing procedures.  ...  Acknowledgements Author would like to thank anonymous reviewers for their constructive comments resulting in an improvement of the paper.  ... 
doi:10.3390/s8052986 pmid:27879861 pmcid:PMC3675527 fatcat:bv6iyg52fnfz3jwcjwtqirp5ze

How Satellite Soil Moisture Data Can Help to Monitor the Impacts of Climate Change: SMAP Case Studies

Chalita Forgotson, Peggy E. Oneill, Marco L. Carrera, Stephane Belair, Narendra N. Das, Iliana E. Mladenova, John D. Bolten, Jennifer M. Jacobs, Eunsang Cho, Vanessa M. Escobar
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Index Terms-Agriculture, drought monitoring, snowmelt flood prediction, soil moisture active passive (SMAP), soil moisture, weather forecast.  ...  In addition, soil moisture governs plant water availability -the key to crop yield forecasting.  ...  In turn, this could improve accuracy of flood forecasts in cold regions.  ... 
doi:10.1109/jstars.2020.2982608 fatcat:qj4gqxuxujdipp34l7hqajcxry
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