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A Spatial Data Infrastructure Integrating Multisource Heterogeneous Geospatial Data and Time Series: A Study Case in Agriculture
2016
ISPRS International Journal of Geo-Information
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Currently, the best practice to support land planning calls for the development of Spatial Data Infrastructures (SDI) capable of integrating both geospatial datasets and time series information from multiple ...
series, and discusses it in the framework of the Space4Agri project study case developed to support the agricultural sector in Lombardy region, Northern Italy. ...
for individual data themes in alignment with INSPIRE and RNDT metadata profiles. ...
doi:10.3390/ijgi5050073
fatcat:fxecdixot5ddhgfjtbxutpixji
An Open-Source Web Platform to Share Multisource, Multisensor Geospatial Data and Measurements of Ground Deformation in Mountain Areas
2019
ISPRS International Journal of Geo-Information
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geospatial data and ground deformation measurements, also considering multisource and heterogeneous data. ...
Nowadays, the increasing demand to collect, manage and share archives of data supporting geo-hydrological processes investigations requires the development of spatial data infrastructure able to store ...
the first phase of the HAMMER project, and the support for the data organization within the dedicated project platform. ...
doi:10.3390/ijgi9010004
fatcat:44lcehsisvcplmzegtapa77qi4
A Geospatial Data Infrastructure Deploying an Information and Knowledge Platform for the Agriculture Sector
2016
Kartografija i Geoinformacije
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The paper reports a case study on the design and development of an Information and Knowledge-based Platform (IKP), whose core is a Geospatial Data Infrastructure (GDI). ...
The technological framework presents a novel approach related both to the workflow management of geospatial data sets and time series of heterogeneous sources, and the integrated processing of Volunteered ...
Fellowship Mobility Programme for Experienced Researchers in Croatia -NEWFELPRO) during the manuscript preparation as a part of a project "Crosswalking the layers of geospatial information resources to ...
doaj:99494067391c438f90f11e48959c4472
fatcat:z7dkogvkhrck3maozbuoo2far4
ExtremeEarth Meets Satellite Data From Space
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Bringing together a number of cutting-edge technologies that range from storing extremely large volumes of data all the way to developing scalable machine learning and deep learning algorithms in a distributed ...
One of these challenges is the integration of European Space Agency (ESA)'s Thematic Exploitation Platforms (TEPs) and data information access service platforms with a data platform, namely Hopsworks, ...
He holds a Ph.D. in Computer Science from Hanover University and a Diploma in Computer Engineering from NTUA. His research focuses on data integration and web data mining. ...
doi:10.1109/jstars.2021.3107982
fatcat:fxmpayska5bvlj7ibw3peqhuzu
The Challenge of Spatial Information Accessibility for Agricultural Policies: Case of Pakistan
2020
Zenodo
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Agriculture is a spatial subject. Policy makers demand unrestricted access to spatial data of various kinds in order to address agricultural issues and for evidence-based policy-making. ...
This paper also explores agriculture in Pakistan, main challenges faced by the agriculture sector of the country, and how many as well as what kind of spatial datasets are required to address these policy ...
Bordogna et al. (2016) explored integration of multisource heterogeneous geospatial data and time series in a case study for agriculture using OGC standard interoperable SDI architecture and a geospatial ...
doi:10.5281/zenodo.5111625
fatcat:iteeivjykjc2lpdvrkcllzgfj4
The Challenge of Spatial Information Accessibility for Agricultural Policies: Case of Pakistan
2020
Zenodo
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Agriculture is a spatial subject. Policy makers demand unrestricted access to spatial data of various kinds in order to address agricultural issues and for evidence-based policy-making. ...
This paper also explores agriculture in Pakistan, main challenges faced by the agriculture sector of the country, and how many as well as what kind of spatial datasets are required to address these policy ...
(2016) explored integration of multisource heterogeneous geospatial data and time series in a case study for agriculture using OGC standard interoperable SDI architecture and a geospatial data and metadata ...
doi:10.5281/zenodo.5111586
fatcat:uaerkzgzgnga7ic6j73crewmpu
GeoFairy2: A Cross-Institution Mobile Gateway to Location-Linked Data for In-Situ Decision Making
2020
ISPRS International Journal of Geo-Information
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The two-directional mechanism makes GeoFairy2 a useful mobile gateway to access and contribute to the rapidly growing, heterogeneous, multisource, and location-linked datasets, and pave a way to drive ...
us into a new mobile web with more links and less digital walls across data providers and institutions. ...
As an important topic in the research of spatial data infrastructure (SDI), cracking down these digital walls and one-stop retrieve multisource geospatial information is still an unsolved issue. ...
doi:10.3390/ijgi10010001
fatcat:4unxlosjafc6xlxru45vcnwnuy
Advances in remote sensing applications for urban sustainability
2016
Euro-Mediterranean Journal for Environmental Integration
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The analysis identifies three key trends in the existing literature: (a) the integration of heterogeneous remote sensing data, primarily for investigating or modelling urban environments as a complex system ...
Growing interests in renewable energy have also resulted in the increased use of remote sensing-for planning, operation, and maintenance of energy infrastructures, in particular the ones with spatial variability ...
Acknowledgments This research has been funded by a grant from the Higher Committee of Education Development (HCED) in Iraq. ...
doi:10.1007/s41207-016-0007-4
fatcat:lqtm3fzalzbdfiy5aegzhdzhia
HYDROLOGIC AND CRYOSPHERIC PROCESSES OBSERVED FROM SPACE
2015
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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At the 1st Dragon 3 Progress Symposium in 2013 a significant potential for a better and deeper integration appeared very clearly and we worked out an overview of the ten projects identifying specific issues ...
LST; TRMM data products evaluated in the Yangtze; Calibration of river basin models using LST; System to calibrate, correct and normalize (spatial, spectral) data collected by imaging spectral radiometers ...
As a case study, the methodology was applied to the whole Tibetan Plateau (TP) area. Four images of MODIS data were used in this study for comparison among winter, spring, summer, and autumn. ...
doi:10.5194/isprsarchives-xl-7-w3-1101-2015
fatcat:cazpqqpivjcmjhgzth4tx44rki
Managing Sensor Data Uncertainty
2013
International Journal of Agricultural and Environmental Information Systems
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In this paper, we address this problem with an approach dedicated to provide environmental monitoring applications and users with data quality information. ...
However, a main issue for such applications is the uncertainty of data coming from sensors, which may impact experts' decisions. ...
For example, the analysis of data quality over systems processing homogenous and static data remains simpler than for those distributed systems processing heterogeneous and multisource data. ...
doi:10.4018/jaeis.2013010103
fatcat:lk2ilhvasrggriwthzzcurdqim
Scanning Technologies to Building Information Modelling: A Review
2022
Infrastructures
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In addition, the importance of integrating multisource data is briefly discussed. ...
This is thanks to LiDAR technology, which has become one of the key elements in BIM, useful to capture a semantically rich geometric representation of 3D models in terms of 3D point clouds. ...
Numerous studies have attempted to use multisource data in various applications such as 3D building models, urban mapping, forest inventories, agriculture and flood disasters. ...
doi:10.3390/infrastructures7040049
fatcat:v7rob3hxwrcdnm2xdum64tnsu4
Mapping Paddy Rice with Satellite Remote Sensing: A Review
2021
Sustainability
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Paddy rice is a staple food of three billion people in the world. ...
Multisource data integration further enhances the accuracy of paddy rice mapping. ...
Acknowledgments: In this study, the papers were downloaded from the Web of Science and China National Knowledge Infrastructure, thanks to the retrieval and download services of the above websites. ...
doi:10.3390/su13020503
fatcat:bpjcnezpbjdbzmwda4lxhok6ce
Conciliating Perspectives from Mapping Agencies and Web of Data on Successful European SDIs: Toward a European Geographic Knowledge Graph
2020
ISPRS International Journal of Geo-Information
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Spatial Data Infrastructures (SDIs) are a key asset for Europe. This paper concentrates on unsolved issues in SDIs in Europe related to the management of semantic heterogeneities. ...
It studies contributions and competences from two communities in this field: cartographers, authoritative data providers, and geographic information scientists on the one hand, and computer scientists ...
Acknowledgments: The authors acknowledge the contribution of participants to EuroSDR and Eurogeographics seminars and workshops on INSPIRE or on Linked Data. ...
doi:10.3390/ijgi9020062
fatcat:mdfq6bzg6reihpsechcefzra6q
Digital Heritage
[chapter]
2019
Manual of Digital Earth
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Parts 2 and 3 discuss the contents and methods of digital natural heritage and cultural heritage, respectively, and some practical case studies. ...
Spatial information technology provides a new applied theory and tool for the protection and utilization of natural and cultural heritage. This chapter is divided into four parts. ...
A case study was conducted on part of the Great Wall (Fig. 17 .7a) in NW China in the early 20th century by famous archaeologists and Fig. 17.7 The integration of geospatial data of the Great Wall ...
doi:10.1007/978-981-32-9915-3_17
fatcat:bqmrfyktevgexkcd67b62vfrui
Progress and Trends in the Application of Google Earth and Google Earth Engine
2021
Remote Sensing
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The main difference was that articles describing the use of GE emphasized its use as a visual display platform, while those concerned with GEE placed more emphasis on big data and time-series analysis. ...
GE articles covered a broader range of research areas (e.g., biology, education, disease and health, economic, and information science) and appeared in a broader range of journals than those concerned ...
Data Availability Statement: This study does not contain reports on any data.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs13183778
fatcat:ko6voanlvrhppaxbl2awvzurbe
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