Bogor, May 3, 2025 – Protective trees on the city’s green belt are not only a shade for the road, but also the life support of the city. As part of the effort to maintain the sustainability of green spaces and improve public safety, the Bogor City Housing and Settlement Office in collaboration with Bhumi Pasa Hijau carried out Tree Health Assessment activities on the Bogor City Green Line. This activity is a follow-up to the presentation of the results of the Mini Project conducted by BPH on Jalan Raya Cifor in 2024. This activity involved the Tree Grower Community (TGC), a group of Silviculture students from the Faculty of Forestry and Environment IPB in the data collection process. This activity was carried out in nine main road corridors, such as Jl. Dr. Sumeru, Jl. Mayjen Ishak Djuarsa, Jl. Malabar, Jl. Sancang, Jl. Kumbang, and Jl. RE Abdullah, covering more than 700 trees that were assessed directly in the field. The results of the tree health assessment on the green belt in the nine lanes were presented in a public dissemination forum held on Saturday, May 3, 2025 at the Bogor City Council Secretariat Office. The forum also served as a space for knowledge exchange between academics, bureaucrats and field practitioners in formulating a more sustainable direction for green belt management. Experts who attended included :
- Dr. Arief Noor R., S.P, M.P (BRIN Researcher)
- Dr. Erianto Indra P., S.Hut, M.Si (IPB Silviculture Lecturer)
- Dr. Ir. Supriyanto (SEAMEO Biotrop Scientist)
- Devi Librianti Juvita (Representative of Perumkim Office of Bogor City)
Tree health assessment is important because the absence of baseline data on the physiological condition of trees often hinders planning and responsive technical interventions. With increasing environmental pressures, aging trees, and high anthropogenic interactions in urban road areas, many trees suffer from root, trunk, and crown damage. Without an adequate database and monitoring, this condition can endanger road users, damage infrastructure, and degrade the overall quality of the city’s ecosystem. Therefore, this activity aims to provide empirical and measurable data on the condition of trees in the green belt, develop technical maintenance recommendations, and provide a scientific basis for more adaptive and risk-based green belt governance policy making.
One of the key strengths of this activity is the utilization of Forest Health Monitoring (FHM) methodology that has been contextually modified for urban greenway environments. FHM is a scientific approach originally developed to assess the overall health of forest ecosystems, including parameters of tree vitality, biodiversity, and site quality.
In the context of Bogor City green belt, FHM is focused on tree vitality indicators, which include tree damage condition (damage to roots, trunk, branches, and leaves) and crown condition (crown density, crown transparency, live crown ratio, crown diameter, and dieback). Data is collected directly from the field using a standardized visual approach, combined with measurements of the physical dimensions of the trees (trunk diameter, tree height, crown width, etc.) to obtain a comprehensive picture of the status of individual and collective trees in a line.
“Inventree”: Bhumi Pasa Hijau’s Digital Solution for Urban Tree Health Monitoring
To ensure efficiency, accuracy, and data integration, BPH developed and implemented Inventree, an Android-based digital application that is a key part of the project’s innovative approach.
Inventree is not just a data input tool, but a tree information management system linked to a geographic information system (GIS). Key features of Inventree include:
- Precise geotagging of tree locations via GPS
- Systematic input of health parameters (tree damage, crown condition, tree dimensions)
- Automatic calculation of health index (TDLI and VCR) based on FHM algorithm
- Digital tree tagging (QR code) integrated with health status (very healthy, healthy, less healthy, unhealthy)
- Analytical dashboard for real-time visualization of findings
The app supports a field tagging process where trees are color-coded based on their health analysis results. The color makes it easier for technical teams or local authorities to immediately follow up on high-risk trees with mitigation measures such as pruning, intensive care, or replanting.
The implementation of Inventree accelerates the data validation process and enables long-term storage of information that can be accessed across agencies. This makes Inventree a technology-based urban tree management model that can be replicated in other cities in Indonesia
