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Angelika Xaver
Researcher at Vienna University of Technology
Publications - 15
Citations - 1678
Angelika Xaver is an academic researcher from Vienna University of Technology. The author has contributed to research in topics: Water content & Soil texture. The author has an hindex of 8, co-authored 15 publications receiving 1248 citations.
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Journal ArticleDOI
The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements
Wouter Dorigo,Wolfgang Wagner,R. Hohensinn,Sebastian Hahn,Christoph Paulik,Angelika Xaver,Alexander Gruber,Matthias Drusch,Susanne Mecklenburg,P. J. van Oevelen,Alan Robock,Thomas J. Jackson +11 more
TL;DR: The International Soil Moisture Network (ISMN) as discussed by the authors is a centralized data hosting facility where globally available in situ soil moisture measurements from operational networks and validation campaigns are collected, harmonized, and made available to users.
Journal ArticleDOI
Global Automated Quality Control of In Situ Soil Moisture Data from the International Soil Moisture Network
Wouter Dorigo,Angelika Xaver,Mariette Vreugdenhil,Alexander Gruber,Alena Hegyiova,A. D. Sanchis-Dufau,D. Zamojski,C. Cordes,Wolfgang Wagner,Matthias Drusch +9 more
TL;DR: In this article, a new automated quality control system for soil moisture measurements contained in the International Soil Moisture Network (ISMN) is presented, which includes flagging values exceeding a certain threshold and checking validity of soil moisture variations in relation to changes in soil temperature and precipitation.
Journal ArticleDOI
Characterizing Coarse-Scale Representativeness of in situ Soil Moisture Measurements from the International Soil Moisture Network
TL;DR: In this paper, the authors assesses random errors in the coarse-scale representation of in situ soil moisture measurements from more than 1400 globally distributed stations, drawn from the International Soil Moisture Network (ISMN), using the triple collocation method.
Posted ContentDOI
The International Soil Moisture Network: Serving Earth system science for over a decade
Wouter Dorigo,Irene Himmelbauer,Daniel Aberer,Lukas Schremmer,Ivana Petrakovic,Luca Zappa,Wolfgang Preimesberger,Angelika Xaver,F. O. Annor,Jonas Ardö,Dennis D. Baldocchi,Marco Bitelli,Günter Blöschl,Heye Bogena,Luca Brocca,Jean-Christophe Calvet,J. Julio Camarero,Giorgio Capello,Minha Choi,Michael C. Cosh,Nick van de Giesen,Istvan Hajdu,Jaakko Ikonen,Karsten H. Jensen,Karsten H. Jensen,Kasturi Devi Kanniah,Ileen De Kat,Gottfried Kirchengast,Pankaj Kumar Rai,Jenni Kyrouac,Kristine M. Larson,Suxia Liu,Alexander Loew,Mahta Moghaddam,José Enrique Martínez Fernández,Cristian Mattar Bader,Renato Morbidelli,Jan Pawel Musial,Elise Osenga,Michael A. Palecki,Thierry Pellarin,George P. Petropoulos,Isabella Pfeil,Jarrett Powers,Alan Robock,Christoph Rudiger,Udo Rummel,Michael Strobel,Zhongbo Su,Ryan C. Sullivan,Torbern Tagesson,Torbern Tagesson,Andrej Varlagin,Mariette Vreugdenhil,Jeffrey P. Walker,Jun Wen,Fred Wenger,Jean-Pierre Wigneron,Mel Woods,Kun Yang,Yijian Zeng,Xiang Zhang,Marek Zreda,Stephan Dietrich,Alexander Gruber,Peter J. van Oevelen,Wolfgang Wagner,Klaus Scipal,Matthias Drusch,Roberto Sabia +69 more
TL;DR: The main scope of this paper is to inform readers about the evolution of the ISMN over the past decade, including a description of network and data set updates and quality control procedures.
Journal ArticleDOI
Deriving Field Scale Soil Moisture from Satellite Observations and Ground Measurements in a Hilly Agricultural Region
TL;DR: The findings highlight the suitability of using ground measurements in conjunction with machine learning to derive high spatially resolved SM maps from coarse-scale satellite products and show the potential of low-cost sensors as a practical and cost-effective solution for gathering the necessary observations.