Publication2025
LandCover.ISRO Dataset: High-Resolution Satellite Dataset for Land Cover Mapping
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- 2025 IEEE International Conference on Next Gen Technologies of Artificial Intelligence and Geoscience Remote Sensing Earthsense 2025
- Published
- 1 January 2025
- DOI
- 10.1109/earthsense66084.2025.11297395
- Scopus ID
- 105032186851
- Authors
- 3
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
11.3 Enhance inclusive and sustainable urbanization and capacity for participatory human settlement planning
High-resolution satellite semantic segmentation dataset supports urban planning and disaster management through automated land cover classification with 97.76% accuracy.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
15.1 Ensure the conservation, restoration and sustainable use of terrestrial and inland freshwater ecosystems
Remote sensing for land cover monitoring enables forest conservation and environmental assessment covering urban-rural transitions in Bhubaneswar region.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.4 Infrastructure and connectivity
Satellite imagery dataset and deep learning methods advance digital infrastructure for environmental monitoring and infrastructure planning.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “LandCover.ISRO Dataset: High-Resolution Satellite Dataset for Land Cover Mapping”. Kortex.
