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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2021

Change Detection using Machine Learning Models: A Case Study on the Puri District of Odisha, India

The record

Type
Publication
Date
1 January 2021
Level
National
Journal
Proceedings 2021 19th Oits International Conference on Information Technology Ocit 2021
Pages
100-104
Published
1 January 2021
DOI
10.1109/ocit53463.2021.00030
Scopus ID
85127377272
Authors
3
Open access
No
Citations
13
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 15 Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss

    GoalPrimaryHigh confidenceJudged

    Uses machine learning for land use and land cover change detection in Puri district to monitor environmental degradation and support natural resource management

    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

Viksit Bharat @2047

  1. vb-2.5 Green economy, energy transition and climate resilience

    Sub-themePrimaryHigh confidenceJudged

    Environmental monitoring and land conservation support sustainable management of terrestrial ecosystems

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Change Detection using Machine Learning Models: A Case Study on the Puri District of Odisha, India”. Kortex.

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Change Detection using Machine Learning Models: A Case Study on the Puri District of Odisha, India · Kortex