Sustainable Development in Urban Cities with LCLU Mapping
Lecture Notes in Networks and Systems, ISSN: 2367-3389, Vol: 600, Page: 725-737
2023
- 2Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures2
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Conference Paper Description
Rapid and uneven urbanization of the compact city in the last few decades has threatened its ecosystem. WHO recommends having a green space of at least 9 m per individual and an ideal UGS value of 50 m per capita to restore the ecological balance of such cites. This study proposes a novel remote sensing-based approach that utilizes LCLU classification maps by applying various machine learning and deep learning methods on multispectral imagery to analyze and verify the presence of the amount of UGS area present in a city. Employed on the urban region of South–West Delhi, it reveals an unsatisfactory level of green space with an UGS per capita of 25.9 m, UGBS per capita as 48.14 m and UGS percentage abundance as 14.14%. Further, potential expansion areas are suggested using these maps to aid policymakers to strive toward sustainable development.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85151056755&origin=inward; http://dx.doi.org/10.1007/978-981-19-8825-7_62; https://link.springer.com/10.1007/978-981-19-8825-7_62; https://dx.doi.org/10.1007/978-981-19-8825-7_62; https://link.springer.com/chapter/10.1007/978-981-19-8825-7_62
Springer Science and Business Media LLC
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