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Journal ArticleDOI

Advances in soil moisture retrieval from synthetic aperture radar and hydrological applications

Kurt C. Kornelsen, +1 more
- 07 Jan 2013 - 
- Vol. 476, Iss: 476, pp 460-489
TLDR
In this paper, a comprehensive literature review was conducted to provide the state-of-the-art of SAR soil moisture retrieval methodology, its limitations and potential, and a discussion of the benefits and limitations of soil moisture data retrieved from SAR is used to outline the scope of SAR derived soil moisture for hydrological applications.
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This article is published in Journal of Hydrology.The article was published on 2013-01-07. It has received 253 citations till now. The article focuses on the topics: Synthetic aperture radar.

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Citations
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Journal ArticleDOI

Modeling Soil Processes: Review, Key Challenges, and New Perspectives

Harry Vereecken, +49 more
- 01 May 2016 - 
TL;DR: Key challenges in modeling soil processes are identified, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes.
Journal ArticleDOI

On the spatio-temporal dynamics of soil moisture at the field scale

TL;DR: In this paper, the authors review the state of the art of characterizing and analyzing spatio-temporal dynamics of soil moisture content at the field scale and discuss measurement techniques that have become available in recent years and that provide unique opportunities to characterize field scale soil moisture variability with high spatial and temporal resolution.
Journal ArticleDOI

Ground, Proximal, and Satellite Remote Sensing of Soil Moisture

TL;DR: 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.
Journal ArticleDOI

Google Earth Engine, Open-Access Satellite Data, and Machine Learning in Support of Large-Area Probabilistic Wetland Mapping

TL;DR: This work developed a workflow for predicting the probability of wetland occurrence using a boosted regression tree machine-learning framework applied to digital topographic and EO data, and demonstrates the central role of high-quality topographic variables for modeling wetland distribution at regional scales.
Journal ArticleDOI

Flood detection from multi-temporal SAR data using harmonic analysis and change detection

TL;DR: Harmonic analysis of a multi-temporal time series of >500 ENVISAT Advanced SAR scenes with a spatial resolution of 150 m was used to characterise the seasonality in backscatter under non-flooded conditions and an outlook for the proposed algorithm is given in the light of the Sentinel-1 mission.
References
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Book

The Fractal Geometry of Nature

TL;DR: This book is a blend of erudition, popularization, and exposition, and the illustrations include many superb examples of computer graphics that are works of art in their own right.
Book

The finite element method

TL;DR: In this article, the methodes are numeriques and the fonction de forme reference record created on 2005-11-18, modified on 2016-08-08.
Journal ArticleDOI

Numerical solution of initial boundary value problems involving maxwell's equations in isotropic media

Abstract: Maxwell's equations are replaced by a set of finite difference equations. It is shown that if one chooses the field points appropriately, the set of finite difference equations is applicable for a boundary condition involving perfectly conducting surfaces. An example is given of the scattering of an electromagnetic pulse by a perfectly conducting cylinder.
Journal ArticleDOI

The Fractal Geometry of Nature

TL;DR: A blend of erudition (fascinating and sometimes obscure historical minutiae abound), popularization (mathematical rigor is relegated to appendices) and exposition (the reader need have little knowledge of the fields involved) is presented in this article.
Book

Microwave Remote Sensing, Active and Passive

TL;DR: In this article, the authors present a model of a MICROWAVE REMOTE SENSING FUNDAMENTALS and RADIOMETRY, which is based on the idea of surface scattering.
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