Journal ArticleDOI
Water resource applications with RADARSAT-2 – a preview
TLDR
An overview of the use of radar in general, and RADARSAT-2 in particular, for the generation of information products useful to water resource managers is provided.Abstract:
Fresh water is arguably the most vital resource for many aspects of a healthy and stable environment. Monitoring the extent of surface water enables resource managers to detect perturbations and long term trends in water availability, and set consumption guidelines accordingly. Potential end-users of water-related observations are numerous and reflect society as a whole. They encompass scientists and managers at all levels of government, aboriginal groups, water/power utility managers, farmers, planners, engineers, hydrologists, medical researchers, climate scientists, recreation enthusiasts, public school to post-graduate students, many special interest groups and the general public. Water data and analyses generate information products that benefit water resources planning and management, engineering design, plant operations, navigation activities, health research, water quality assessments and ecosystem management. As well, they serve as inputs for flood and drought warnings and weather and cl...read more
Citations
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Journal ArticleDOI
Sentinel-1-based flood mapping: a fully automated processing chain
TL;DR: An automated Sentinel-1-based processing chain designed for flood detection and monitoring in near-real-time (NRT) allows deriving time-critical disaster information in less than 45 min after a new data set is available on the Sentinel Data Hub of the European Space Agency (ESA).
Journal ArticleDOI
Multi‐temporal synthetic aperture radar flood mapping using change detection
TL;DR: In this paper, a change detection and thresholding methodology has been adapted from previous studies to determine the extent of flooding for 13 Sentinel-1 synthetic aperture radar images captured during the floods of winter 2015-2016 in Yorkshire, UK.
Journal ArticleDOI
A collection of SAR methodologies for monitoring wetlands.
TL;DR: The Curvelet-based change detection and the Wishart-Chernoff Distance approaches are used to show how they substantially improve mapping of flooded vegetation and flagging areas of change, respectively.
Journal ArticleDOI
SAR polarimetric change detection for flooded vegetation
TL;DR: This paper addresses the extension of this change detection technique to polarimetric SAR data for monitoring surface water and flooded vegetation and RADARSAT-2 images of Dong Ting Lake demonstrate this curvelet-based change Detection technique applied to wetlands.
Journal ArticleDOI
Evaluation of C-band polarization diversity and polarimetry for wetland mapping
TL;DR: In this paper, the authors explored the use of polarization diversity and polarimetry for wetland classification and mapping using airborne CV-580 C-band synthetic aperture radar (SAR) data.
References
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Journal ArticleDOI
An entropy based classification scheme for land applications of polarimetric SAR
Shane R. Cloude,Eric Pottier +1 more
TL;DR: The authors outline a new scheme for parameterizing polarimetric scattering problems that relies on an eigenvalue analysis of the coherency matrix and employs a three-level Bernoulli statistical model to generate estimates of the average target scattering matrix parameters from the data.
Journal ArticleDOI
An empirical model and an inversion technique for radar scattering from bare soil surfaces
TL;DR: An inversion technique was developed for predicting the rms height of the surface and its moisture content from multipolarized radar observations, which was found to yield very good agreement with the backscattering measurements of the present study.
Journal ArticleDOI
Backscattering from a randomly rough dielectric surface
TL;DR: A backscattering model for scattering from a randomly rough dielectric surface is developed and both like- and cross-polarized scattering coefficients are obtained that satisfy reciprocity and contain only multiple scattering terms.
Journal ArticleDOI
Measuring soil moisture with imaging radars
P. Dubois,J.J. van Zyl,T. Engman +2 more
TL;DR: An empirical algorithm for the retrieval of soil moisture content and surface root mean square (RMS) height from remotely sensed radar data was developed using scatterometer data and inversion results indicate that significant amounts of vegetation cause the algorithm to underestimate soil moisture and overestimate RMS height.
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