Optimizing biodiversity conservation in Sundaland through advanced geospatial techniques and remote sensing technologies
Sundaland ecosystems are under threat from human activity and climate change such as logging, agricultural practices, overexploitation of wildlife and climatic change that have led to frequent forest fires and a decline in indigenous plant and animal species. This study investigates the risks to Sun...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/11236/1/P16693_b19af39b9d58364538381f08f8239788%207.pdf |
| _version_ | 1811134747697479680 |
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| author | Usman Gabi, Alhassan Mohamad Abdullah, Nazirah |
| author_facet | Usman Gabi, Alhassan Mohamad Abdullah, Nazirah |
| author_sort | Usman Gabi, Alhassan |
| collection | UTHM |
| description | Sundaland ecosystems are under threat from human activity and climate change such as logging, agricultural practices, overexploitation of wildlife and climatic change that have led to frequent forest fires and a decline in indigenous plant and animal species. This study investigates the risks to Sundaland's biodiversity as well as the management possibilities using GIS, RS, and AI. The goal was to find out how artificial intelligence (AI) can be applied to effectively manage biodiversity and expand on the body of knowledge already available about the useful roles that GIS and RS play in the area. In this systematic method, seven databases were used to gather data from 110 research publications, of which 101 were screened for scope and subject variable. 80% (81articles) of the examined studies collected data using GIS and RS. It is found that. AI in biodiversity management is poised to grow, offering new opportunities to address the intricate challenges facing our planet's diverse ecosystems. In conclusion, for efficient monitoring, well-informed policy creation, and decision-making to guarantee the long-term preservation of Sundaland's biodiversity, integration of GIS, RS, and AI is essential |
| first_indexed | 2024-09-24T00:10:04Z |
| format | Conference or Workshop Item |
| id | uthm.eprints-11236 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-09-24T00:10:04Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | uthm.eprints-112362024-06-26T07:37:51Z http://eprints.uthm.edu.my/11236/ Optimizing biodiversity conservation in Sundaland through advanced geospatial techniques and remote sensing technologies Usman Gabi, Alhassan Mohamad Abdullah, Nazirah T Technology (General) Sundaland ecosystems are under threat from human activity and climate change such as logging, agricultural practices, overexploitation of wildlife and climatic change that have led to frequent forest fires and a decline in indigenous plant and animal species. This study investigates the risks to Sundaland's biodiversity as well as the management possibilities using GIS, RS, and AI. The goal was to find out how artificial intelligence (AI) can be applied to effectively manage biodiversity and expand on the body of knowledge already available about the useful roles that GIS and RS play in the area. In this systematic method, seven databases were used to gather data from 110 research publications, of which 101 were screened for scope and subject variable. 80% (81articles) of the examined studies collected data using GIS and RS. It is found that. AI in biodiversity management is poised to grow, offering new opportunities to address the intricate challenges facing our planet's diverse ecosystems. In conclusion, for efficient monitoring, well-informed policy creation, and decision-making to guarantee the long-term preservation of Sundaland's biodiversity, integration of GIS, RS, and AI is essential 2023-10-28 Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/11236/1/P16693_b19af39b9d58364538381f08f8239788%207.pdf Usman Gabi, Alhassan and Mohamad Abdullah, Nazirah (2023) Optimizing biodiversity conservation in Sundaland through advanced geospatial techniques and remote sensing technologies. In: BIO Web of Conferences. https://doi.org/10.1051/bioconf/20249407002 |
| spellingShingle | T Technology (General) Usman Gabi, Alhassan Mohamad Abdullah, Nazirah Optimizing biodiversity conservation in Sundaland through advanced geospatial techniques and remote sensing technologies |
| title | Optimizing biodiversity conservation in Sundaland through advanced geospatial techniques and remote sensing technologies |
| title_full | Optimizing biodiversity conservation in Sundaland through advanced geospatial techniques and remote sensing technologies |
| title_fullStr | Optimizing biodiversity conservation in Sundaland through advanced geospatial techniques and remote sensing technologies |
| title_full_unstemmed | Optimizing biodiversity conservation in Sundaland through advanced geospatial techniques and remote sensing technologies |
| title_short | Optimizing biodiversity conservation in Sundaland through advanced geospatial techniques and remote sensing technologies |
| title_sort | optimizing biodiversity conservation in sundaland through advanced geospatial techniques and remote sensing technologies |
| topic | T Technology (General) |
| url | http://eprints.uthm.edu.my/11236/1/P16693_b19af39b9d58364538381f08f8239788%207.pdf |
| work_keys_str_mv | AT usmangabialhassan optimizingbiodiversityconservationinsundalandthroughadvancedgeospatialtechniquesandremotesensingtechnologies AT mohamadabdullahnazirah optimizingbiodiversityconservationinsundalandthroughadvancedgeospatialtechniquesandremotesensingtechnologies |