The Forest Observatory is a linked-data platform and analytics hub designed to support forest conservation, community engagement, and scientific research. It hosts curated datasets, analytical tools, and storytelling resources that document biodiversity, environmental change, and community-driven conservation initiatives. The platform leverages linked data principles and semantic web technologies to integrate heterogeneous data sources, including IoT sensor readings, wildlife monitoring records, and environmental survey data, into a unified and queryable knowledge graph. By making these data openly accessible and machine readable, the Forest Observatory enables researchers, conservationists, and local communities to explore visualisations, publications, and conservation resources through a single coherent interface. The project builds on long-standing collaboration with the Danau Girang Field Centre and supports biodiversity monitoring in tropical forest ecosystems.
The platform’s analytics capabilities allow users to identify trends in species populations and track habitat degradation. Users can also assess the effectiveness of conservation interventions over time. These tools provide conservation practitioners with evidence-based insights that inform management decisions across tropical forest ecosystems.
The Forest Observatory also serves as a vehicle for public engagement. By presenting complex ecological data through accessible narratives and interactive visualisations, it communicates the urgency and importance of forest conservation to wider audiences. This work is funded through EPSRC International Partnerships.
Elephant Sound Classification Using Deep Learning Optimization
Hiruni Dewmini, Dulani Meedeniya, and Charith Perera,
Sensors, Volume 25, Issue 2, Article No. 352, pp 1-17. January 2025
A Comparative Study of Pre-processing and Model Compression Techniques in Deep Learning for Forest Sound Classification
Thivindu Paranayapa, Piumini Ranasinghe, Dakshina Ranmal, Dulani Meedeniya, Charith Perera,
MDPI Sensors, Volume 24, Number 4, 1149, 1-28, 2024
ESC-NAS: Environment Sound Classification Using Hardware-Aware Neural Architecture Search for the Edge
Dakshina Ranmal, Piumini Ranasinghe, Thivindu Paranayapa, Dulani Meedeniya, Charith Perera,
MDPI Sensors, Volume 24, Number 12, 3749, 1-23, 2024
A Survey on Deep Learning-based Forest Environment Sound Classification at the Edge
Dulani Meedeniya, Isuru Ariyarathne, Meelan Bandara, Roshinie Jayasundara, Charith Perera,
ACM Computing Surveys (CSUR),Volume 56, Issue 3, Article No.66, pp, 1–36
Forest Sound Classification Dataset: FSC22
Meelan Bandara, Roshinie Jayasundara, Isuru Ariyarathne, Dulani Meedeniya, and Charith Perera,
MDPI Sensors, Volume 23, Number 4, February, 2023
Internet of Things Network for Forest Observatory (Sabah, Malaysia Borneo Island Deployment)
Sharadha Kariyawasam, Behzad Heravi, Pablo Orozco Ter Wengel, Benoit Goossens, Omer Rana, Charith Perera,
Technical Report, 2023
Automated License Plate Recognition for Resource Constrained Environments
Heshan Padmasiri, Jithmi Shashirangana, Dulani Meedeniya, Omer Rana, and Charith Perera,
MDPI Sensors, Volume 22, Number 4, February 2022 (29)
Analysing Environmental Impact of Large-scale Events in Public Spaces with Cross-domain Multimodal Data Fusion
Suparna De, Wei Wang, Yuchao Zhou, Charith Perera, Klaus Moessner, Mansour Naser Alraja,
Springer Computing, 2021
Automated License Plate Recognition: A Survey on Methods and Techniques
Jithmi Shashirangana, Heshan Padmasiri, Dulani Meedeniya, Charith Perera,
IEEE ACCESS, Volume 9, Pages 11203-11225, 2021
Inferring Latent Patterns in Air Quality from Urban Big Data
Suparna De, Usamah Jassat, Wei Wang, Charith Perera, Klaus Moessner,
IEEE Internet of Things Magazine (IOTM), Volume 4, Issue 1, March 2021 (8)
License Plate Recognition using Neural Architecture Search for Edge Devices
Jithmi Shashirangana, Heshan Padmasiri, Dulani Meedeniya, Charith Perera, Soumya R. Nayak, Janmenjoy Nayak, Shanmuganthan Vimal, Seifidine Kadry,
International Journal of Intelligent Systems 1- 38, May 2021 (38)
IoT-CANE: A unified knowledge management system for data-centric Internet of Things application systems
Yinhao Li, Awatif Alqahtani, Ellis Solaiman, Charith Perera, Prem Prakash Jayaraman, Rajkumar Buyya, Graham Morgan, Rajiv Ranjan,
Journal of Parallel and Distributed Computing (JPDC), Volume 131, September 2019, Pages 161-172 (12)
Sustainable IoT Infrastructure Towards Efficient Wildlife Conservation: Challenges and Research Directions
Charith Perera, Omer Rana, Pablo Orozco Ter Wengel, Benoit Goossens,
Technical Report, 2019
Data-driven Air Quality Characterisation for Urban Environments: A Case Study
Yuchao Zhou, Suparna De, Gideon Ewa, Charith Perera, Klaus Moessner,
IEEE Access (ACCESS) , Volume 6, 2018, Pages 77996-78006 (11)
