Towards maximizing geospatial data usage in north eastern India using open-source scalable user-centric applications Article Swipe
YOU?
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· 2024
· Open Access
·
· DOI: https://doi.org/10.5194/isprs-archives-xlviii-5-2024-117-2024
The north eastern region of India is characterized by limited physical connectivity and challenging terrain, that requires innovative approaches for effective developmental planning and monitoring using geospatial data and user-centric applications. This paper focuses on leveraging space-based data and applications to address these challenges and enhance decision-making processes in governance. A unified framework for interoperable spatial data sharing has been developed, ensuring that data is easily discoverable, searchable, and consumable through metadata standards and OGC interoperable data services. A dedicated spatial data repository has been established, offering real-time access to over 1400 geospatial datasets and facilitating better decision-making and geo-analytics among diverse user groups. The repository operates on an open-source platform with integrated map viewers and geo-analytics tools, allowing for interactive exploration and visualization of geospatial data. Additionally, 35 user-centric geospatial applications have been operationalized, all developed using open-source geospatial tools and standards. Capacity building programs have been conducted to increase awareness and maximize the utilization of geospatial data services and applications across the region. The platform has boosted utilization of geospatial data services and applications in the region for overall planning and developmental activities for smart governance and societal benefits.
Related Topics
- Type
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- Language
- en
- Landing Page
- http://doi.org/10.5194/isprs-archives-xlviii-5-2024-117-2024
- OA Status
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4404282825Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5194/isprs-archives-xlviii-5-2024-117-2024Digital Object Identifier
- Title
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Towards maximizing geospatial data usage in north eastern India using open-source scalable user-centric applicationsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-11-12Full publication date if available
- Authors
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Puyam S. Singh, Dibyajyoti Chutia, Nilay Nishant, Avinash Chouhan, Victor Saikhom, Shiv Prasad Aggarwal, Rahul KumarList of authors in order
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https://doi.org/10.5194/isprs-archives-xlviii-5-2024-117-2024Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.5194/isprs-archives-xlviii-5-2024-117-2024Direct OA link when available
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Geospatial analysis, Open source, Scalability, Computer science, Geospatial PDF, World Wide Web, Open data, Data science, Database, Geography, Remote sensing, Software, Programming languageTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.standards. | 143 |
| abstract_inverted_index.challenging | 14 |
| abstract_inverted_index.exploration | 122 |
| abstract_inverted_index.governance. | 50 |
| abstract_inverted_index.interactive | 121 |
| abstract_inverted_index.open-source | 110, 139 |
| abstract_inverted_index.searchable, | 68 |
| abstract_inverted_index.space-based | 37 |
| abstract_inverted_index.utilization | 156, 170 |
| abstract_inverted_index.applications | 40, 132, 162, 176 |
| abstract_inverted_index.connectivity | 12 |
| abstract_inverted_index.established, | 86 |
| abstract_inverted_index.facilitating | 96 |
| abstract_inverted_index.user-centric | 30, 130 |
| abstract_inverted_index.Additionally, | 128 |
| abstract_inverted_index.applications. | 31 |
| abstract_inverted_index.characterized | 8 |
| abstract_inverted_index.developmental | 22, 184 |
| abstract_inverted_index.discoverable, | 67 |
| abstract_inverted_index.geo-analytics | 100, 117 |
| abstract_inverted_index.interoperable | 55, 76 |
| abstract_inverted_index.visualization | 124 |
| abstract_inverted_index.decision-making | 47, 98 |
| abstract_inverted_index.operationalized, | 135 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile.value | 0.34374298 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |