Satoshi Tsuyuki

Satoshi Tsuyuki, Associate Professor

  • Graduate School of Interdisciplinary Information Studies, The University of Tokyo
  • Laboratory of Global Forest Environmental Studies, Graduate School of Agricultural and Life Sciences, The University of Tokyo

Professional Experience & Education

2016: Associate Professor, Graduate School of Interdisciplinary Information Studies, The University of Tokyo
1997: Associate Professor, Graduate School of Agricultural and Life Sciences, The University of Tokyo
1988: Assistant Professor, Faculty of Agriculture, The University of Tokyo
1986: M.S., Department of Forestry, Graduate School of Agriculture, The University of Tokyo
1984: B.S., Department of Forestry, Faculty of Agriculture, The University of Tokyo


Forest Science, Geo-informatics, Remote Sensing, GIS, GNSS

Research interests

What must be considered when one wants to understand forest is that any forest have its own history. Moreover, the forest does not exist alone, but it exists as a result of influences from its surrounding situation (both physically and institutionally). That means, we have to think of how the forest had been changing, also with its surrounding conditions, to know the forest.

But forest area is very large. (Of course agricultural area and even urban area are also large, but forest is even larger and usually exists in inaccessible place.) Most important thing is to go the forest by yourself, feel forest by your whole senses and make detailed field research of the area. But what you (or your group) can see is only limited points of the large forest area.

So, we always have to be aware of to which part of large forest area does our field research points belong, as well as their representativeness. If you want to know about whole forest and its surrounding area, but not so much in detail, we can use “remote sensing (RS)” technic to know as an area at once. To connect the detailed field research points and the information of the area obtained by RS, we can use GIS (Geographic Information System) and GNSS. These technologies are called “Geo-informatics” recently, all of them are dealing with geo-spatial information.

I hope I can keep studying how to use these spatial information processing technologies effectively as tools to help forest and human being live together long.

Study example

Forest environmental analysis using geo-informatics

  • Development of forest environmental assessment method using remote sensing and GIS
  • Monitoring forest environment using satellite remote sensing
  • GNSS utilization in forest area
  • Development of Asian tropical forest mensuration method applicable to REDD+
  • Utilization of LiDAR and aerial photographs for forest 3D structure reconstruction
  • Forest disturbance assessment in Siberian nature reserve area

Primary papers

Phua, M-H., Tsuyuki, S., Lee, J. S., Gahni M.A.A (2012) Simultaneous detection of burned areas of multiple fires in the tropics using multisensor remote-sensing data. International Journal of Remote Sensing, Vol. 33, No. 14, 4312-4333.

Kamlun, K.U., Goh, M.H., Teo, S., Tsuyuki, S., Phua, M-H. (2012) Monitoring of Deforestation and Fragmentation in Sarawak, Malaysia between 1990 and 2009 Using Landsat and SPOT Images. Journal of Forest Science Vol. 28, No. 3, 152-157.

Aoyagi, K., Tsuyuki, S., Phua, M-H., Teo, S. (2012) Mapping Distribution of Dipterocarpus in East Kalimantan, Indonesia. Journal of Forest Science, Vol. 28, No. 3, 179-184.

Syartinilia, Tsuyuki, S. (2012) Contribution of MODIS NDVI 250m Multi-Temporal Imagery Dataset for the Detection of Natural Forest Distribution of Java Island, Indonesia. Journal of Geographic Information System, Vol. 4, No.5, 462-469.

Rustam, Yasuda, M., Tsuyuki, S. (2012) Comparison of mammalian communities in a human-disturbed tropical landscape in East Kalimantan, Indonesia. Mammal Study, Vol. 37, 299-311.

Suhardiman, Ali, Tsuyuki, S., Sumaryono, Md., Sulistioadi, Y.B. (2013) Geostatistical Approach for Site Suitability Mapping of Degraded Mangrove Forest in the Mahakam Delta, Indonesia. Journal of Geographic Information System, Vol. 5, No.5, 419-428.

Ioki, K., Tsuyuki, T., Hirata, Y., Phua, M-H., Wong, W.V.C., Ling Z-Y., Saito, H., Takao, G. (2014) Estimating aboveground biomass of tropical rainforest of different degradation levels in Northern Borneo using airborne lidar. Forest Ecology and Management, No.328, 335-341.

Phua, M-H., Ling, Z-Y., Wong, W.V.C., Korom, K., Ahmad, B., Besar, N.A., Tsuyuki, S., Ioki, K., Hoshimoto, K., Hirata, Y., Saito, H., Takao, G. (2014) Estimation of Above-Ground Biomass of a Tropical Forest in Northern Borneo Using High-resolution Satellite Image. Journal of Forest and Environmental Science, Vol.30, No.2, 243-252.

Ioki, K., Tsuyuki, S., Hirata, Y., Phua, M-H., Wong, W.V.C., Ling, Z-Y., Johari, S.A., Korom, A., James, D., Saito, H., Takao, G. (2016) Evaluation of the similarity in tree community composition in a tropical rainforest using airborne LiDAR data. Forest Ecology and Management No.173, 304-313.

Suhardiman, Ali, Tsuyuki, S., Setiawan, Y. (2016) Estimating Mean Tree Crown Diameter of Mangrove Stands Using Aerial Photo     Procedia. Environmental Sciences Vol.33, 416-427.