Dr. Mui-HowPhua

Universiti Malaysia Sabah, Malaysia
Deputy Dean

Email: [email protected]

Qualifications

2001 Ph.D., The University of Tokyo, Forest Science

2001 M.Sc., The University of Tokyo, Biol. & Envi. Engineering

1998 M. Env. Sc ., University of Tsukuba, Forest Remote Sensing

1994 B.A.(HON), University of Malaya, Geography

Publications (selected)

1. Ioki, K., Johari, S. A., Wong, W. V. C., et al. (2025). Navigating effective tropical forest restoration: airborne LiDAR-based site suitability assessment for enrichment planting. Restoration Ecology, 33(7), e70113.
2. Han, D. H. T., Gan, S. H., James, D., et al. (2025). Using satellite images and in situ surveys to assess reef cover in Pulau Layang-Layang, Malaysia. Bulletin of Marine Science, 101(1).
3. Wong, C. J., Chai, L. T., James, D., et al. (2024). Assessment of anthropogenic disturbances on mangrove aboveground biomass in Malaysian Borneo using airborne LiDAR data. Egyptian Journal of Remote Sensing and Space Sciences, 27(3), 547–554.
4. Han, D. H. T., James, D., Waheed, Z., et al. (2024). THREE-DECADE changes of reef cover in Pulau Layang-Layang, Malaysia using multitemporal Landsat images. Marine Environmental Research, 197, 106454.
5. Kamlun, K. U., & Phua, M. H. (2024). Anthropogenic influences on deforestation of a peat swamp forest in Northern Borneo using remote sensing and GIS. Forest Systems, 33(1), eSC02.
6. Ioki, K., James, D., Phua, M. H., et al. (2022). Recovery of tree community composition across different types of anthropogenic disturbances and characterization of their effect using Landsat time series in Bornean tropical montane forest. Biological Conservation, 267, 109489.
7. Phua, M. H., & Tsuyuki, S. (2021). Assessing Impact of Multiple Fires on a Tropical Peat Swamp Forest Using High and Very High-Resolution Satellite Images. Fire-Switzerland, 4(4), 89.
8. Suhaili, N. S., Hatta, S. M., James, D., et al. (2021). Soils Carbon Stocks and Litterfall Fluxes from the Bornean Tropical Montane Forests, Sabah, Malaysia. Forests, 12(12), 1621.
9. Loh, H. Y., James, D., Ioki, K., et al. (2020). Aboveground Biomass Changes in Tropical Montane Forest of Northern Borneo Estimated Using Spaceborne and Airborne Digital Elevation Data. Remote Sensing, 12(22), 3677.
10. Wong, C. J., James, D., Besar, N. A., et al. (2020). Estimating Mangrove Above-Ground Biomass Loss Due to Deforestation in Malaysian Northern Borneo between 2000 and 2015 Using SRTM and Landsat Images. Forests, 11(9), 1018.
11. Besar, N. A., Suardi, H., Phua, M. H., et al. (2020). Carbon Stock and Sequestration Potential of an Agroforestry System in Sabah, Malaysia. Forests, 11(2), 210.
12. Ioki, K., Din, N. M., Ludwig, R., et al. (2019). Supporting forest conservation through community-based land use planning and participatory GIS - lessons from Crocker Range Park, Malaysian Borneo. Journal for Nature Conservation, 52, 125740.
13. Phua, M. H., Chong, C. W., Ahmad, A. H., et al. (2018). Understanding rat occurrences in oil palm plantation using high-resolution satellite image and GIS data. Precision Agriculture, 19(1), 42–54.
14. Phua, M. H., Johari, S. A., Wong, O. C., et al. (2017). Synergistic use of Landsat 8 OLI image and airborne LiDAR data for above-ground biomass estimation in tropical lowland rainforests. Forest Ecology and Management, 406, 163–171.
15. Coomes, D. A., Dalponte, M., Jucker, T., et al. (2017). Area-based vs tree-centric approaches to mapping forest carbon in Southeast Asian forests from airborne laser scanning data. Remote Sensing of Environment, 194, 77–88.
16. Phua, M. H., Ling, Z. Y., Coomes, D. A., et al. (2017). Seeing trees from space: above-ground biomass estimates of intact and degraded montane rainforests from high-resolution optical imagery. iForest-Biogeosciences and Forestry, 10, 625–634.
17. Phua, M. H., Chong, C. W., Ahmad, A. H., et al. (2016). PREDICTING RAT OCCURRENCE IN OIL-PALM PLANTATION USING GIS AND GEOEYE DATA. Environmental Engineering and Management Journal, 15(11), 2511–2518.
18. Phua, M. H., Hue, S. W., Ioki, K., et al. (2016). Estimating Logged-Over Lowland Rainforest Aboveground Biomass in Sabah, Malaysia Using Airborne LiDAR Data. Terrestrial Atmospheric and Oceanic Sciences, 27(4), 481–489.
19. Korom, A., Phua, M. H., & Matsuura, T. (2016). Relationships between Crown Size and Aboveground Biomass of Oil Palms: An Evaluation of Allometric Models. Sains Malaysiana, 45(4), 523–533.
20. Ioki, K., Tsuyuki, S., Hirata, Y., et al. (2016). Evaluation of the similarity in tree community composition in a tropical rainforest using airborne LiDAR data. Remote Sensing of Environment, 173, 304–313.

Profile Details

https://www.researchgate.net/profile/Mui-How-Phua
https://scholar.google.com/citations?user=sqjocL0AAAAJ&hl=en

WOS ResearcherID: DXD-7798-2022