University of Hawai‘i at Manoa
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Tomoaki  Miura

Name :

Tomoaki Miura

Title :


Unit :

Department of Natural Resources and Environmental Management

Address :

1910 East-West Road.
                    Honolulu, HI 96822

Room :

Sherman Lab 237

Phone :


Fax :


E-mail :

Specialties :

Remote Sensing of Terrestrial Vegetation; Geographic Information Systems; Remote Sensing; GIS

Professional Prep/Appointments :

Ph.D. in Soil and Water Science, University of Arizona
M.S. in Resource Management, University of Nevada, Reno
B.S. in Earth Science, Waseda University, Tokyo, Japan

Projects :

Validation of Vegetation Index Products from the Joint-Polar Satellite System Program
GIS-based Land Suitability Analysis of Crop Growth in Hawaii
Monitoring Tropical Forest Dynamics with High Resolution Remote Sensing

Courses Offered:

NREM 477 GIS for Resource Managers
NREM 677 Remote Sensing of the Environment
NREM 696 MS Plan B Capstone Experience

Research Interests :

My research interests include the development, validation, and applications of satellite vegetation index products and the societal impacts on land use changes in the Asia-Pacific region.

Selected Publications :

Wu, J., Kobayashi, H., Stark, S. C., Meng, R., Guan, K., Tran, N. N., Gao, S., Yang, W., Restrepo-Coupe, N., Miura, T., Oliviera, R. C., Rogers, A., Dye, D. G., Nelson, B. W., Serbin, S. P., Huete, A. R., and Saleska, S. R., "Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest," New Phytologist, 2017. doi:10.1111/nph.14939

Ellsworth, L. M., Dale, A. P., Litton, C. M., and Miura, T., "Improved fuel moisture prediction in non-native tropical Megathyrsus maximus grasslands using Moderate Resolution Imaging Spectroradiometer (MODIS) derived vegetation indices," International Journal of Wildland Fire, Vol. 26, No. 5, pp.384-392, 2017. doi:10.1071/WF16131

Barnes, M., Miura, T., and Giambelluca, T., “An assessment of diurnal and seasonal cloud cover changes over the Hawaiian Islands using Terra and Aqua MODIS,” Journal of Climate, Vol. 29, No. 1, pp. 77-90, 2016

Obata, K., Miura, T., Yoshioka, H., Huete, A., and Vargas, M., “Spectral cross-calibration of VIIRS Enhanced Vegetation Index with MODIS: A case study using year-long global data,” Remote Sensing, Vol. 8, No. 1, pp. 34, 2016

Miura, T., Obata, K., Azuma, J., Huete, A., and Yoshioka, H., “Inter- and intra-sensor compatibility of the enhanced vegetation index,” In Remote Sensing Handbook Volume I (Thenkabail, P. S., ed.): CRC Press, Taylor and Francis Group, pp. 155-174, 2015

Miura, T., Turner, J., and Huete, A., “Spectral compatibility of the NDVI across VIIRS, MODIS, and AVHRR: An analysis of atmospheric effects using EO-1 Hyperion,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, No. 3, pp. 1349-1359, 2013

Shabanov, N., Vargas, M., Miura, T., Sei, A., and Danial, A., “Evaluation of the performance of Suomi NPP VIIRS top of canopy vegetation indices over AERONET sites,” Remote Sensing of Environment, Vol. 162, pp. 29-44, 2015

Vargas, M., Miura, T., Shabanov, N., and Kato, A., “An initial assessment of Suomi NPP VIIRS vegetation index EDR,” Journal of Geophysical Research-Atmospheres, Vol. 118, No. 22, pp. 12,301-12,316, 2013

Miura, T., Yoshioka, H., Fujiwara, K., and Yamamoto, H., “Inter-comparison of ASTER and MODIS surface reflectance and vegetation index products for synergistic applications to natural resource and environmental monitoring,” Sensors, Vol. 8, No. 4, pp. 2480-2499, 2008

Miura, T., Huete, A. R., and Yoshioka, H., “An empirical investigation of cross-sensor relationships of NDVI and red/near-infrared reflectance using EO-1 Hyperion data,” Remote Sensing of Environment, Vol. 100, No. 2, pp. 223-236, 2006

Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., and Ferreira, L. G., “Overview of the radiometric and biophysical performance of the MODIS vegetation indices,” Remote Sensing of Environment, Vol. 83, No. 1-2, pp. 195-213, 2002

Miura, T., Huete, A. R., Yoshioka, H., and Holben, B. N., “An error and sensitivity analysis of atmospheric resistant vegetation indices derived from dark target-based atmospheric correction,” Remote Sensing of Environment, Vol. 78, No. 3, pp. 284-298, 2001