Requirement-driven remote sensing metadata planning and online acquisition method for large-scale heterogeneous data

Remote sensing data acquisition is one of the most essential processes in the field of Earth observation. However, traditional methods to acquire data do not satisfy the requirements of current applications because large-scale data processing is required. To address this issue, this paper proposes a...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Shuang Wang, Guoqing Li, Wenyang Yu, Yue Ma
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	online data acquisition remote sensing metadata planning metadata cataloging model coverage calculation machine-to-machine interface Mathematical geography. Cartography GA1-1776 Geodesy QB275-343
Acceso en línea:	https://doaj.org/article/2bcb382bb6784eaab579eca35fa6c037
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:2bcb382bb6784eaab579eca35fa6c037
record_format	dspace
spelling	oai:doaj.org-article:2bcb382bb6784eaab579eca35fa6c0372021-11-11T14:23:41ZRequirement-driven remote sensing metadata planning and online acquisition method for large-scale heterogeneous data1009-50201993-515310.1080/10095020.2021.1994358https://doaj.org/article/2bcb382bb6784eaab579eca35fa6c0372021-11-01T00:00:00Zhttp://dx.doi.org/10.1080/10095020.2021.1994358https://doaj.org/toc/1009-5020https://doaj.org/toc/1993-5153Remote sensing data acquisition is one of the most essential processes in the field of Earth observation. However, traditional methods to acquire data do not satisfy the requirements of current applications because large-scale data processing is required. To address this issue, this paper proposes a data acquisition framework that carries out remote sensing metadata planning and then realizes the online acquisition of large amounts of data. Firstly, this paper establishes a unified metadata cataloging model and realizes the catalog of metadata in a local database. Secondly, a coverage calculation model is presented, which can show users the data coverage information in a selected geographical region under the data requirements of a specific application. Finally, according to the data retrieval results and the coverage calculation, a machine-to-machine interface is provided to acquire target remote sensing data. Experiments were conducted to verify the availability and practicality of the proposed framework, and the results show the strengths and powerful capabilities of our framework by overcoming deficiencies in traditional methods. It also achieved the online automatic acquisition of large-scale heterogeneous remote sensing data, which can provide guidance for remote sensing data acquisition strategies.Shuang WangGuoqing LiWenyang YuYue MaTaylor & Francis Grouparticleonline data acquisitionremote sensing metadata planningmetadata cataloging modelcoverage calculationmachine-to-machine interfaceMathematical geography. CartographyGA1-1776GeodesyQB275-343ENGeo-spatial Information Science, Vol 0, Iss 0, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	online data acquisition remote sensing metadata planning metadata cataloging model coverage calculation machine-to-machine interface Mathematical geography. Cartography GA1-1776 Geodesy QB275-343
spellingShingle	online data acquisition remote sensing metadata planning metadata cataloging model coverage calculation machine-to-machine interface Mathematical geography. Cartography GA1-1776 Geodesy QB275-343 Shuang Wang Guoqing Li Wenyang Yu Yue Ma Requirement-driven remote sensing metadata planning and online acquisition method for large-scale heterogeneous data
description	Remote sensing data acquisition is one of the most essential processes in the field of Earth observation. However, traditional methods to acquire data do not satisfy the requirements of current applications because large-scale data processing is required. To address this issue, this paper proposes a data acquisition framework that carries out remote sensing metadata planning and then realizes the online acquisition of large amounts of data. Firstly, this paper establishes a unified metadata cataloging model and realizes the catalog of metadata in a local database. Secondly, a coverage calculation model is presented, which can show users the data coverage information in a selected geographical region under the data requirements of a specific application. Finally, according to the data retrieval results and the coverage calculation, a machine-to-machine interface is provided to acquire target remote sensing data. Experiments were conducted to verify the availability and practicality of the proposed framework, and the results show the strengths and powerful capabilities of our framework by overcoming deficiencies in traditional methods. It also achieved the online automatic acquisition of large-scale heterogeneous remote sensing data, which can provide guidance for remote sensing data acquisition strategies.
format	article
author	Shuang Wang Guoqing Li Wenyang Yu Yue Ma
author_facet	Shuang Wang Guoqing Li Wenyang Yu Yue Ma
author_sort	Shuang Wang
title	Requirement-driven remote sensing metadata planning and online acquisition method for large-scale heterogeneous data
title_short	Requirement-driven remote sensing metadata planning and online acquisition method for large-scale heterogeneous data
title_full	Requirement-driven remote sensing metadata planning and online acquisition method for large-scale heterogeneous data
title_fullStr	Requirement-driven remote sensing metadata planning and online acquisition method for large-scale heterogeneous data
title_full_unstemmed	Requirement-driven remote sensing metadata planning and online acquisition method for large-scale heterogeneous data
title_sort	requirement-driven remote sensing metadata planning and online acquisition method for large-scale heterogeneous data
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/2bcb382bb6784eaab579eca35fa6c037
work_keys_str_mv	AT shuangwang requirementdrivenremotesensingmetadataplanningandonlineacquisitionmethodforlargescaleheterogeneousdata AT guoqingli requirementdrivenremotesensingmetadataplanningandonlineacquisitionmethodforlargescaleheterogeneousdata AT wenyangyu requirementdrivenremotesensingmetadataplanningandonlineacquisitionmethodforlargescaleheterogeneousdata AT yuema requirementdrivenremotesensingmetadataplanningandonlineacquisitionmethodforlargescaleheterogeneousdata
_version_	1718439017283846144

Requirement-driven remote sensing metadata planning and online acquisition method for large-scale heterogeneous data

Ejemplares similares