Article
Computer Science, Information Systems
Ba-Huy Tran, Nathalie Aussenac-Gilles, Catherine Comparot, Cassia Trojahn
Summary: This paper addresses the problem of interpreting Earth Observation (EO) data by proposing a semantic data integration process. The process involves a generic semantic model and a semantic extraction, transformation, and load (ETL) process to convert raster data into meaningful features of geographical areas of interest. The paper evaluates the adaptability, added value, and scalability of the proposed approach.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Geography, Physical
Xicheng Tan, Jingguo Jiao, Nengcheng Chen, Fang Huang, Liping Di, Jinchuan Wang, Zongyao Sha, Jin Liu
Summary: This study proposes an integrated workflow-based rainstorm waterlogging analysis method, which reconstructs the waterlogging analysis model through different service invocation strategies and mechanisms. It can automatically integrate and compute geospatial data, models, and computing resources, demonstrating efficiency and flexibility.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2021)
Article
Remote Sensing
Chen Zhang, Zhengwei Yang, Haoteng Zhao, Ziheng Sun, Liping Di, Rajat Bindlish, Pang -Wei Liu, Andreas Colliander, Wade Crow, Rick Mueller, Rolf H. Reichle, John Bolten, Simon H. Yueh
Summary: This paper presents an interoperable data service application system called Crop-CASMA, which facilitates the retrieval, analysis, visualization, and sharing of soil moisture data for the Conterminous United States (CONUS). The system provides satellite remote sensing data products and vegetation index data, and disseminates them using Open Geospatial Consortium (OGC) standards.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Geosciences, Multidisciplinary
Lizhi Miao, Chengliang Liu, Li Fan, Mei-Po Kwan
Summary: The study proposed an OWS Geospatial Data Semantic Similarity Model (OGDSSM) based on ontology semantics to enhance geospatial data service discovery, showing better performance than traditional keyword-based matching methods, with results ranked based on semantic similarity, improving the discovery performance of geospatial data services.
Article
Geosciences, Multidisciplinary
Mario Locati, Roberto Vallone, Matteo Ghetta, Nyall Dawson
Summary: Web services providing convenient access to seismological data have increased in recent years, but users still encounter problems due to the complexity of discipline-specific data encodings. Most seismological web services have their own standards instead of adopting cross-disciplinary standards like those by the OGC. The QQuake plugin for QGIS aims at making access to seismological data easier by allowing users to easily include new web services.
FRONTIERS IN EARTH SCIENCE
(2021)
Article
Computer Science, Interdisciplinary Applications
Peter Baumann
Summary: In the era of ubiquitous data collection and generation, demands are high to make these data accessible as widely as possible with as much power and flexibility as possible. The concept of coverages represent a unified way to handle space/time-varying data, but existing standards may be technically outdated and imprecise.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Computer Science, Information Systems
Neha Sisodiya, Sanjay Garg, Nitant Dube, Priyank Thakkar, Akshay Parmar, Shashikant Sharma
Summary: Earth Observation (EO) data is a valuable source of information that can be used in various applications. To uncover hidden information, unsupervised learning techniques such as clustering are commonly used. However, traditional clustering algorithms have limitations when processing large EO data due to memory constraints. In this study, we propose a compressed data structure called k(2)-raster for clustering raster data, which improves processing efficiency.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Yuran Liang, Steffen Mueller, Daniel Rolle
Summary: This article presents a method for ego-vehicle state estimation using multimodal sensors. By processing sensor data in a distributed manner at a low level and centrally fusing the physical quantities using a probabilistic method at a high level, real-time estimation with high accuracy and robustness for different driving maneuvers can be achieved.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Multidisciplinary
Junzhen Meng
Summary: The Kriging interpolation approximate grid algorithm has higher speed, accuracy, and efficiency in raster data projection transformation.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Geochemistry & Geophysics
Kevin Chow, Dion Eustathios Olivier Tzarmarias, Miguel Hernandez-Cabronero, Ian Blanes, Joan Serra-Sagrista
Summary: This letter suggests methods to enhance data size and access time for k(2)-raster, a losslessly compressed data structure. By using unpadded matrices and different integer encoders, storage size can be increased by 6% and access time reduced by up to 20% compared to the original methods.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Computer Science, Interdisciplinary Applications
Cristina Paniagua, Jerker Delsing
Summary: This paper presents an engineering approach to create interoperability among heterogeneous systems by generating autonomous consumer interface code at runtime, which solves service mismatches. A prototype of the system is implemented and tested to demonstrate the potential of this approach.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2022)
Article
Environmental Sciences
Szymon Glinka, Tomasz Owerko, Karolina Tomaszkiewicz
Summary: This paper introduces a method to automatically label cadastral data using convolutional neural networks, and to identify and extract buildings from high-resolution orthophotomaps based on this data. The research shows that this automated feature extraction method can provide high-quality results.
Article
Chemistry, Multidisciplinary
Muder Almiani, Abdul Razaque, Bandar Alotaibi, Munif Alotaibi, Saule Amanzholova, Aziz Alotaibi
Summary: This paper introduces the CPS paradigm consisting of CPS-HBM and EDB-CPS modules. CPS-HBM provides efficient and secure transfer and storage of sensed data, while EDB-CPS aims to balance data flow for better performance.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Analytical
Ladina Steiner, Geraldine Studemann, David Eugen Grimm, Christoph Marty, Silvan Leinss
Summary: The study explores the application of GNSS refractometry in snow water equivalent monitoring, finding that using the open-source software RTKLIB allows for quick processing and (near) real-time determination of SWE data, effectively enhancing the accuracy and reliability of snow hydrological monitoring and modeling.
Article
Remote Sensing
Yali Zhang, Mingshi Li
Summary: Forest phenology, particularly the start of season (SOS), is an important indicator of climate change that can impact the global carbon cycle. Remote sensing has become a popular way to observe forest SOS, but challenges remain in accurately estimating SOS in areas with high heterogeneity. This study aimed to develop a new method to estimate forest SOS from 2013 to 2019 by using Landsat and Sentinel-2 images and improving the MCCDC model. The enhanced vegetation index (EVI), normalized difference vegetation index (NDVI) and land surface water index (LSWI) were tested for their potential in evaluating annual SOS, with LSWI showing the highest accuracy.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Computer Science, Information Systems
Anusuriya Devaraju, Simon Jirka, Ralf Kunkel, Juergen Sorg
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2015)
Article
Environmental Sciences
Frank Herrmann, Ralf Kunkel, Ulrich Ostermann, Harry Vereecken, Frank Wendland
ENVIRONMENTAL EARTH SCIENCES
(2016)
Article
Environmental Sciences
Ralf Kunkel, Frank Herrmann, Hans-Eberhard Kape, Luise Keller, Franka Koch, Bjoern Tetzlaff, Frank Wendland
ENVIRONMENTAL EARTH SCIENCES
(2017)
Article
Environmental Sciences
Wolfram Eschenbach, Dorte Budziak, Joerg Elbracht, Heinrich Hoeper, Lisa Krienen, Ralf Kunkel, Knut Meyer, Reinhard Well, Frank Wendland
Article
Environmental Sciences
H. R. Bogena, C. Montzka, J. A. Huisman, A. Graf, M. Schmidt, M. Stockinger, C. von Hebel, H. J. Hendricks-Franssen, J. van der Kruk, W. Tappe, A. Luecke, R. Baatz, R. Bol, J. Groh, T. Putz, J. Jakobi, R. Kunkel, J. Sorg, H. Vereecken
VADOSE ZONE JOURNAL
(2018)
Article
Engineering, Chemical
A. Panagopoulos, G. Arampatzis, E. Tziritis, V. Pisinaras, F. Herrmann, R. Kunkel, F. Wendland
DESALINATION AND WATER TREATMENT
(2016)
Article
Environmental Sciences
Frank Wendland, Sabine Bergmann, Michael Eisele, Horst Gomann, Frank Herrmann, Peter Kreins, Ralf Kunkel
Article
Environmental Sciences
Tim Wolters, Nils Cremer, Michael Eisele, Frank Herrmann, Peter Kreins, Ralf Kunkel, Frank Wendland
Summary: This study conducted area-covering modelling of nitrate concentrations in leachate in the German states of NRW and RLP, identifying hotspot regions with high nitrate concentrations. By checking modelled values against measured data, it was found that accuracy limitations of input data were the main reason for deviations between observed and modelled values.
Article
Water Resources
Frank Herrmann, Lena Huesch, Joerg Elbracht, Nicole Engel, Luise Keller, Ralf Kunkel, Udo Mueller, Herbert Roehm, Harry Vereecken, Frank Wendland
HYDROLOGIE UND WASSERBEWIRTSCHAFTUNG
(2017)
Review
Geosciences, Multidisciplinary
Wei Qu, Heye R. Bogena, Johan A. Huisman, Marius Schmidt, Ralf Kunkel, Ansgar Weuthen, Henning Schiedung, Bernd Schilling, Juergen Sorg, Harry Vereecken
EARTH SYSTEM SCIENCE DATA
(2016)
Article
Water Resources
Raif Kunkel, Hans-Eberhard Kape, Luise Keller, Franka Koch, Bjoern Tetzlaff, Frank Wendland
HYDROLOGIE UND WASSERBEWIRTSCHAFTUNG
(2016)
Article
Water Resources
Frank Herrmann, Luise Keller, Ralf Kunkel, Harry Vereecken, Frank Wendland
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2015)
Article
Environmental Sciences
A. Panagopoulos, G. Arampatzis, P. Kuhr, R. Kunkel, E. Tziritis, F. Wendland
GLOBAL NEST JOURNAL
(2015)
Article
Environmental Sciences
J. Bliefernicht, S. Berger, S. Salack, S. Guug, L. Hingerl, D. Heinzeller, M. Mauder, R. Steinbrecher, G. Steup, A. Y. Bossa, M. Waongo, E. Quansah, A. A. Balogun, Y. Yira, J. Arnault, S. Wagner, C. Klein, U. Gessner, K. Knauer, A. Straub, R. Schoenrock, R. Kunkel, E. C. Okogbue, A. Rogmann, F. Neidl, C. Jahn, B. Diekkrueger, A. Aduna, B. Barry, H. Kunstmann
VADOSE ZONE JOURNAL
(2018)