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Rapid Generation of Flood Maps Using Dual-Polarimetric Synthetic Aperture Radar Imagery

MinJeong Jo, Batuhan Osmanoglu
2019 IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium  
Rapid generation of synthetic aperture radar (SAR) based flood extent and flood depth maps provide valuable data in disaster response efforts.  ...  A RGB false-color map is generated using pre-and post-flooding imagery, allowing operators to distinguish between existing standing water in pre-flooding data and recently flooded areas.  ...  Fig. 1 shows the procedure of generating a false color composition map using dual-polarimetric SAR data set.  ... 
doi:10.1109/igarss.2019.8898562 dblp:conf/igarss/JoO19 fatcat:t4s6ftnxmjazpmwnytadohnk6i


M.-J. Jo, B. Osmanoglu, B. Zhang, S. Wdowinski
2018 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Rapid generation of synthetic aperture radar (SAR) based flood extent maps provide valuable data in disaster response efforts thanks to the cloud penetrating ability of microwaves.  ...  We present a method using dual-polarimetric SAR imagery acquired on Sentinel-1a/b satellites.  ...  Here, we propose a simple method for rapid monitoring of flood events based on polarimetric SAR imagery. This will contribute to generating flood extent maps and estimating the flood depth.  ... 
doi:10.5194/isprs-archives-xlii-3-711-2018 fatcat:yyi2bxdb75hthoh7dxhqwh6uni

Wetland Monitoring and Mapping Using Synthetic Aperture Radar [chapter]

Mohammed Dabboor, Brian Brisco
2019 Wetlands Management - Assessing Risk and Sustainable Solutions  
Also, we summarize the current trends in wetland monitoring and mapping using SAR imagery.  ...  Synthetic Aperture Radar (SAR) remote sensing satellites are active remote sensing instruments essential for monitoring wetlands, given the possibility to bypass the cloud-sensitive optical instruments  ...  Bahram Salehi from the Memorial University of Newfoundland and Dr. Koreen Millard form Environment and Climate Change Canada for their help in providing pictures of different wetland classes.  ... 
doi:10.5772/intechopen.80224 fatcat:gsvk34paxfazdflsxm4o6onfq4


T. A. Gasica, F. Bioresita, A. Murtiyoso
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This is very important for various environmental applications, such as flood monitoring. Remote sensing data such as Synthetic Aperture Radar (SAR) is very useful for a large-scale flood monitoring.  ...  The objective of this work is thus to map temporary surface water (flood) of the Sentani flash flooding event in Indonesia using Sentinel-1 SAR imagery.  ...  Synthetic Aperture Radar (SAR) as one of active remote sensing is an effective way to detect surface water over large areas.  ... 
doi:10.5194/isprs-archives-xliii-b3-2020-55-2020 fatcat:n446rp6xr5h67du3raggz6xahu

Spaceborne L-Band Synthetic Aperture Radar Data for Geoscientific Analyses in Coastal Land Applications: A Review

Marco Ottinger, Claudia Kuenzer
2020 Remote Sensing  
Compared to optical satellites, cloud-cover does not limit the timeliness of data acquisition with spaceborne Synthetic Aperture Radar (SAR) sensors, which have all-weather, day and night capabilities.  ...  topics: mapping and monitoring of flooded vegetation and inundated areas; the retrieval of aboveground biomass; and the estimation of soil moisture.  ...  Acknowledgments: The authors acknowledge the use of ALOS-2/PALSAR-2 data (©JAXA 2017) and Sentinel-2 data (©ESA 2017).  ... 
doi:10.3390/rs12142228 fatcat:4bplx7hxgbbyfdxddqau4kn4uq

A Review on Applications of Imaging Synthetic Aperture Radar with a Special Focus on Cryospheric Studies

Shridhar D. Jawak, Tushar G. Bidawe, Alvarinho J. Luis
2015 Advances in Remote Sensing  
The present review mainly deals with state-of-the-art applications of synthetic aperture radar (SAR) with a special emphasize on cryospheric information extraction.  ...  Polarimetric SAR has been effectively used for mapping calving fronts, crevasses, surface structures, sea ice, detection of icebergs, etc.  ...  Rajan, Director, NCAOR for his encouragement and motivation of this research. We  ... 
doi:10.4236/ars.2015.42014 fatcat:lpdaxa3zdjan5fkko7k6uxmqpm

The RADARSAT Constellation Mission Core Applications: First Results

Mohammed Dabboor, Ian Olthof, Masoud Mahdianpari, Fariba Mohammadimanesh, Mohammed Shokr, Brian Brisco, Saeid Homayouni
2022 Remote Sensing  
This evaluation aims to confirm that the innovative design of the mission's synthetic aperture radar (SAR) meets the expectations of intended users.  ...  Our study shows a promising level of agreement between RCM and RADARSAT-2 performance in flood mapping using dual-polarized HH-HV SAR data over Red River, Manitoba, suggesting smooth continuity between  ...  RADARSAT Constellation Mission Imagery (c) Government of Canada (2022)-All Rights Reserved. RADARSAT is an official mark of the Canadian Space Agency.  ... 
doi:10.3390/rs14020301 fatcat:ckszjgkkwffvvhvbbxi4take3e


B. Tavus, S. Kocaman, H. A. Nefeslioglu, C. Gokceoglu
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
With the increasing temporal availability and spatial resolution of SAR (Synthetic Aperture Radar) satellite sensors, they became popular in data provision for flood detection.  ...  Although optical imagery-based flood analysis methods have been often used for the flood assessments before, during and after the event; they have the limitation of cloud coverage.  ...  Because of the different radiometric response of water surfaces, it is easier to identify flood from optical images than from SAR (Synthetic Aperture Radar) images (Ouled Sghaier et al., 2018) .  ... 
doi:10.5194/isprs-archives-xliii-b3-2020-641-2020 fatcat:wzzomxb6kbdcxggqc5zhyoutn4

Statistical Analysis of Changes in Sentinel-1 Time Series on the Google Earth Engine

Morton J. Canty, Allan A. Nielsen, Knut Conradsen, Henning Skriver
2019 Remote Sensing  
Time series analysis of Sentinel-1 SAR imagery made available by the Google Earth Engine (GEE) is described.  ...  Advantage is taken of a recent modification of a sequential complex Wishart-based algorithm which is applicable to the dual polarization intensity data archived on the GEE.  ...  A recent example of the use of Sentinel-1 SAR imagery for flood monitoring and integration of results into rapid response concepts is given in [20] .  ... 
doi:10.3390/rs12010046 fatcat:p4i76drajnclfmv6nhirf7bly4

2019 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 12

2019 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., +, JSTARS Jan. 2019 50-65 Calibration of the Copolarized Backscattering Measurements From Gaofen-3 Synthetic Aperture Radar Wave Mode Imagery.  ...  ., +, JSTARS July 2019 2279-2287 Robust Line Detection of Synthetic Aperture Radar Images Based on Vector Radon Transformation.  ... 
doi:10.1109/jstars.2020.2973794 fatcat:sncrozq3fjg4bgjf4lnkslbz3u

Assessing Hydrological Dynamics of Guyana's North Rupununi Wetlands Using Sentinel-1 Sar Imagery Change Detection Analysis on Google Earth Engine

Javier Ruiz-Ramos, Andrea Berardi, Armando Marino, Deepayan Bhowmik, Matthew Simpson
2020 2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)  
Acknowledgements: We acknowledge the support of WWF-Guianas, The Open University Space SRA and University of Stirling (through GCRF SPARK funding). Data courtesy of ESA.  ...  CONCLUSIONS The use of polarimetric change detection analysis on Sentinel-1 synthetic aperture radar data offered rapid about the hydrological dynamics of the North Rupununi natural wetlands.  ...  On the other hand, Synthetic Aperture Radar (SAR) imagery emerges as the most valuable alternative as its active nature (nondependency of external source of light) allows it to penetrate cloud cover.  ... 
doi:10.1109/ingarss48198.2020.9358961 fatcat:c5dfzhpw2jbndiw3paxfvhnwsy

Multifrequency Spaceborne Synthetic Aperture Radar Data for Backscatter-Based Characterization of Land Use and Land Cover

Shatakshi Verma, Shashi Kumar, Varun Narayan Mishra, Rahul Raj
2022 Frontiers in Earth Science  
This study explores and compares the polarimetric decomposition models for scattering-based characterization of land use and cover using multifrequency spaceborne synthetic aperture radar sensor datasets  ...  Polarimetric synthetic aperture radar remote sensing extracts the information about the target using decomposition models to separate the polarimetric information into single-bounce (contributed by smooth  ...  Knowledge-based Decision Tree Approach for Mapping Spatial Distribution of rice Crop Using C-Band Synthetic Aperture Radar-Derived Information. J. Appl.  ... 
doi:10.3389/feart.2022.825255 fatcat:dqcyo3agdzbxtp5t3jhazwf6ti

The deadliest tropical cyclone 'Amphan': investigate the natural flood inundation over south 24 Parganas using google earth engine

Bijay Halder, Suman Das, Jatisankar Bandyopadhyay, Papiya Banik
2021 Safety in Extreme Environments  
C-band Sentinel-1A Synthetic Aperture Radar is used to identifying the flood inundation on Google Earth Engine (GEE). Landsat 8 OLI data is used for MNDWI calculation on this area.  ...  Seventy two people of West Bengal were lost their life and several months over the southern parts of West Bengal are facing huge land scarcity and salt-water intrusion on the mainland.  ...  The authors are also thankful to the ESA Copernicus hub for Sentinel-1 data availability, Goole for using Google Earth Engine data processing and USGS for Landsat imageries.  ... 
doi:10.1007/s42797-021-00035-z fatcat:rxzal6rzsrgxhgapgijklawbai

Random Forest Classification of Inundation Following Hurricane Florence (2018) via L-Band Synthetic Aperture Radar and Ancillary Datasets

Alexander M. Melancon, Andrew L. Molthan, Robert E. Griffin, John R. Mecikalski, Lori A. Schultz, Jordan R. Bell
2021 Remote Sensing  
This study used random forest classification to generate maps of inundation from L-band UAVSAR imagery processed using the Freeman–Durden decomposition method.  ...  In response to Hurricane Florence of 2018, NASA JPL collected quad-pol L-band SAR data with the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) instrument, observing record-setting river stages  ...  Currently, the NC DPS uses flood estimates generated by the Rapid Infrastructure Flood Tool (RIFT) developed by Pacific Northwest National Laboratory (PNNL).  ... 
doi:10.3390/rs13245098 fatcat:ekxu3lniijg3dldtifnznkxglm

Monitoring of the Lac Bam Wetland Extent Using Dual-Polarized X-Band SAR Data

Linda Moser, Andreas Schmitt, Anna Wendleder, Achim Roth
2016 Remote Sensing  
This study demonstrates the applicability of weather-independent dual-polarimetric Synthetic Aperture Radar (SAR) data for the analysis of spatio-temporal wetland dynamics.  ...  The use of polarimetric SAR imagery to detect flooded vegetation in wetland environments has shown promising results using dual-co-polarimetric (dual-co-pol) HH-VV data, mainly from TerraSAR-X where this  ...  Acknowledgments: The authors acknowledge the use of TerraSAR-X data, which have been made available for scientific use via the TerraSAR Science Service proposal "LAN2000 Wetland monitoring and water stress  ... 
doi:10.3390/rs8040302 fatcat:m2z53vggbngc3fajivk6hm5saa
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