Our Work

Focus

R&D-based

R&D underpins our proposals and grants, driving innovation with our published research as the cornerstone

Social Impact

We aim for both scientific and societal impact of R&D meaning the latter can be more emphasized by implementing more stakeholder-oriented and goal-driven R&D applications

Proactive Research

We focus on forward-looking topics like disaster early warning and agricultural forecasting to preemptively address societal challenges and promote resilience

services

Data-Driven Insights

Meta-analysis, literature reviews, and method assessment for informed decision-making

Innovative Research

Cutting-edge scientific research and feasibility studies

Interactive Tools

Customized map viewers and dashboards to visualize results

Multidisciplinary Expertise

Leveraging quantitative and qualitative approaches

Community Empowerment

Supporting graduate students and engaging with stakeholders

ONGOING PROJECTS

A Dynamic Geospatial Study in Nueva Ecija, the Philippines

This study focuses on dynamic mapping of food environments, using a mix of surveys and GPS data to document and evaluate how consumers interact with their surrounding environments to purchase and consume fruits and vegetables.

A Qualitative Study in Nueva Ecija, the Philippines

This study focuses on using in-depth interviews to understand how interventions in food environments might encourage and enable people to consume a wide range of safe, quality fruits and vegetables.

previous PROJECTS

GIS Assistance for Master's Thesis on Community Food Environment in Bay, Laguna

IMPACT R&D provided GIS technical assistance to a Master’s degree student researching the community food environment in Bay, Laguna.

R&D for Digital Transformation and Innovations of Leads Agricultural Companies

In 2023-2024, IMPACT R&D has partnered with Leads Agricultural Companies to implement a groundbreaking digital agriculture initiative, DigiSaka.

Guidance Note on Digital Disaster Risk Information Management Systems (DDRIMS)

A new DDRIMS Guidance Note, drafted by Dr. Arnan Araza, Forester Chin Yu, and Forester Gerald Eduarte, has been submitted to the United Nations Office for Disaster Risk Reduction (UNDRR).

KEY PUBLICATIONS

Araza, A. B., Castillo, G. B., Buduan, E. D., Hein, L., Herold, M., Reiche, J., Gou, Y., Villaluz, M. G. Q., & Razal, R. A. (2021). Intra-Annual Identification of Local Deforestation Hotspots in the Philippines Using Earth Observation Products. Forests, 12(8), 1008. https://doi.org/10.3390/f12081008

Araza, A. B., Perez, M., Cruz, R. V., Aggabao, L. F., & Soyosa, E. (2020). Probable streamflow changes and its associated risk to the water resources of Abuan watershed, Philippines caused by climate change and land use changes. Stochastic Environmental Research and Risk Assessment, 35(2), 389–404. https://doi.org/10.1007/s00477-020-01953-3

Araza, A. B., Pulhin, J. M., Sajise, A. J. U., Xu, P., Tsendbazar, N., Blanco, A., Yu, M. C. S. A., Sasi, A. P., Castillo, G. B., Predo, C. M., Tiburan, C. Jr., Candido, C., Aggabao, L. F., Hein, L., & Herold, M. (2024). Map assessment and inter-comparison of 11 mangrove maps from remote sensing [Manuscript in preparation].

Araza, A. B., Yu, M. C. S., De Castro, J., Sajise, A. J., & Pulhin, J. M. (2024). Meta-analysis of mangrove and seagrass blue carbon mapping and estimation studies that used remote sensing data and conducted in the Philippines. [Manuscript in preparation].

Araza, A. B., De Bruin, S., Hein, L., & Herold, M. (2023). Spatial predictions and uncertainties of forest carbon fluxes for carbon accounting. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-38935-8

Araza, A. B., et.al (2023). Past decade above-ground biomass change comparisons from four multi-temporal global maps. International Journal of Applied Earth Observation and Geoinformation, 118, 103274. https://doi.org/10.1016/j.jag.2023.103274

Mendoza, D. K., Araza, A. B., de Groot, L., Mensink, M., & Tan, R. C. Environmental Factors Affecting the BMI of Older Adults in the Philippines Spatially Assessed Using Machine Learning. Available at SSRN 4645336.

Mendoza, R. C., Razal, R. A., Abasolo, W. P., Visco, R. G., & Predo, D. C. D. (2019). Aboveground biomass characterization of a young kawayan tinik plantation (Bambusa blumeana J.A. & J.H. Schultes) in Nueva Ecija, Philippines for bioenergy production. The Philippine Journal of Science, 148(4), 627–636. https://www.cabdirect.org/cabdirect/abstract/20203189344

Razal, R. A. (2022). Enhancing Sustainability and Productivity of Bamboo in the Philippines: Some Initiatives. In Sitra (pp. 151–178). https://doi.org/10.1007/978-3-030-99313-9_7

Google Sites

Report abuse