A Novel and Extensible Remote Sensing Collaboration Platform: Architecture Design and Prototype Implementation

Geospatial data, especially remote sensing (RS) data, are of significant importance for public services and production activities. Expertise is critical in processing raw data, generating geospatial information, and acquiring domain knowledge and other remote sensing applications. However, existing...

Full description

Saved in:
Bibliographic Details
Published in:ISPRS international journal of geo-information 2024-03, Vol.13 (3), p.83
Main Authors: Gao, Wenqi, Chen, Ninghua, Chen, Jianyu, Gao, Bowen, Xu, Yaochen, Weng, Xuhua, Jiang, Xinhao
Format: Article
Language:English
Subjects:
Applications programs
Architecture
Cloud computing
Collaboration
Cooperation
customized web app
Data processing
Ecology
Fisheries management
geo-community
Geographic information systems
Geographical information systems
Geology
Geospatial data
geospatial data services
Information systems
Knowledge
Knowledge acquisition
Oceanography
Open source software
Prototypes
Remote sensing
Satellites
Social service
Spatial data
user collaboration
User interface
Visualization (Computers)
Web applications
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Geospatial data, especially remote sensing (RS) data, are of significant importance for public services and production activities. Expertise is critical in processing raw data, generating geospatial information, and acquiring domain knowledge and other remote sensing applications. However, existing geospatial service platforms are more oriented towards the professional users in the implementation process and final application. Building appropriate geographic applications for non-professionals remains a challenge. In this study, a geospatial data service architecture is designed that links desktop geographic information system (GIS) software and cloud-based platforms to construct an efficient user collaboration platform. Based on the scalability of the platform, four web apps with different themes are developed. Data in the fields of ecology, oceanography, and geology are uploaded to the platform by the users. In this pilot phase, the gap between non-specialized users and experts is successfully bridged, demonstrating the platform’s powerful interactivity and visualization. The paper finally evaluates the capability of building spatial data infrastructures (SDI) based on GeoNode and discusses the current limitations. The support for three-dimensional data, the improvement of metadata creation and management, and the fostering of an open geo-community are the next steps.
ISSN:2220-9964
2220-9964
DOI:10.3390/ijgi13030083