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Smart Forest Observ...
Smart Forest Observatories Network : A MAPE-K Architecture Based Approach for Detecting and Monitoring Forest Damage
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- Abbas, Nadeem, 1980- (författare)
- Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),DISA;DISA-SIG;DISA-AdaptWise;AdaptWise
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- Awais, Mian Muhammad (författare)
- Lahore University of Management Sciences, Pakistan
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- Kurti, Arianit, 1977- (författare)
- Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),Interaction Design;Linnaeus University Systems Community
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(creator_code:org_t)
- 2023
- 2023
- Engelska.
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Ingår i: Proceedings of the Conference Digital solutions for detecting and monitoring forest damage.
- Relaterad länk:
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Abstract
Ämnesord
Stäng
- Forests are essential for life, providing various ecological, social, and economic benefits worldwide. However, one of the main challenges faced by the world is the forest damage caused by biotic and abiotic factors. In any case, the forest damages threaten the environment, biodiversity, and ecosystem. Climate change and anthropogenic activities, such as illegal logging and industrial waste, are among the principal elements contributing to forest damage. To achieve the United Nations' Sustainable Development Goals (SDGs) related to forests and climate change, detecting and analyzing forest damages, and taking appropriate measures to prevent or reduce the damages are essential. To that end, we envision establishing a Smart Forest Observatories (SFOs) network, as shown below, which can be either a local area or a wide area network involving remote forests. The basic idea is to use Monitor, Analyze, Plan, Execute, and Knowledge (MAPE-K) architecture from autonomic computing and self-adaptive software systems domain to design and develop the SFOs network. The SFOs are planned to collect, analyze, and share the collected data and analysis results using state-of-the-art methods. The principal objective of the SFOs network is to provide accurate and real-time data to policymakers and forest managers, enabling them to develop effective policies and management strategies for global forest conservation that help to achieve SDGs related to forests and climate change.
Ämnesord
- LANTBRUKSVETENSKAPER -- Lantbruksvetenskap, skogsbruk och fiske -- Skogsvetenskap (hsv//swe)
- AGRICULTURAL SCIENCES -- Agriculture, Forestry and Fisheries -- Forest Science (hsv//eng)
- LANTBRUKSVETENSKAPER -- Lantbruksvetenskap, skogsbruk och fiske (hsv//swe)
- AGRICULTURAL SCIENCES -- Agriculture, Forestry and Fisheries (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Nyckelord
- MAPE-K
- Self-Adaptation
- Forest Damage
- Forest
- Data- och informationsvetenskap
- Computer and Information Sciences Computer Science
- Software Technology
- Programvaruteknik
- Informatik
- Information Systems
- Forestry and Wood Technology
- Skog och träteknik
Publikations- och innehållstyp
- vet (ämneskategori)
- kon (ämneskategori)