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Lopes, K. H., Miura, T., Hauk, B., Kosaki, R., Leonard, J., & Hunter, C. (2023). Rapid expansion of the invasive-like red macroalga, Chondria tumulosa (Rhodophyta), on the coral reefs of the Papahānaumokuākea Marine National Monument. Journal of Phycology, 59:1107-1111. https://doi.org/10.1111/jpy.13369

Shin, N., Katsumata, C., Miura, T., Tsutsumida, N., Ichie, T., Kotani, A., Nakagawa, M., Kho, L. K., Kobayashi, H., Kumagai, T., Tei, S., Pungga, R. A. S., Yamada, T., Kameda, A., Yanagisawa, M., Nasahara, K. N., Muraoka, H., Ichii, K., and Tokumoto, Y. (2023). Perspective: Improving the accuracy of plant phenology observations and land-cover and land-use detection by optical satellite remote-sensing in the Asian tropics. Frontiers in Forests and Global Change, 6. https://doi.org/10.3389/ffgc.2023.1106723

Miura, T., Tokumoto, Y., Shin, N., Shimizu, K. K., Pungga, R. A. S., and Ichie, T. (2023). Utility of commercial high resolution satellite imagery for monitoring general glowering in Sarawak, Borneo. Ecological Research, 38(3), 386-402. https://doi.org/10.1111/1440-1703.12382

Fraiola, K., Miura, T., Martinez, J., Lopes, K., Amidon, F., Torres-Pérez, J., Spalding, H., Williams, T., and Kosaki, R. (2023). Using commercial high-resolution satellite imagery to monitor a nuisance macroalga in the largest marine protected area in the U.S.A. Coral Reefs, 42, 253-259. https://doi.org/10.1007/s00338-022-02336-6

Shin, N., Saitoh, T. M., Takeuchi, Y., Miura, T., Aiba, M., Kurokawa, H., Onoda, Y., Ichii, K., Nasahara, K. N., Suzuki, R., Nakashizuka, T., and Muraoka, H. (2023). Review: Monitoring of land cover changes and plant phenology by remote-sensing in East Asia. Ecological Research, 38(1), 111-133. https://doi.org/10.1111/1440-1703.12371

Tsutsumida, N., Shin, N., & Miura, T. (2022). Evaluation of land surface phenology for autumn leaf color change based on citizen reports across Japan. Remote Sensing, 14(9), 2017. doi:10.3390/rs14092017

Mamiit, R. J., Yanagida, J., & Miura, T. (2021). Productivity hot spots and cold spots: Setting geographic priorities for achieving food production targets. Frontiers in Sustainable Food Systems, 5, 327. doi:10.3389/fsufs.2021.727484

Miura, T., Smith, C. Z., & Yoshioka, H. (2021). Validation and analysis of Terra and Aqua MODIS, and SNPP VIIRS vegetation indices under zero vegetation conditions: A case study using Railroad Valley Playa. Remote Sensing of Environment, 257, 112344. doi:10.1016/j.rse.2021.112344

Tran, N. N., Huete, A., Nguyen, H., Grant, I., Miura, T., Ma, X., Lyapustin, A., Wang, Y., Ebert, E. (2020). Seasonal comparisons of Himawari-8 AHI and MODIS vegetation indices over latitudinal Australian grassland sites. Remote Sensing, 12(15), 2494. doi:10.3390/rs12152494

Nagai, S., Saitoh, T. M., & Miura, T. (2020). Peak autumn leaf colouring along latitudinal and elevational gradients in Japan evaluated with online phenological data. International Journal of Biometeorology, 64, 1743-1754. doi:10.1007/s00484-020-01953-6

Miura, T., & Nagai, S. (2020). Landslide detection with Himawari-8 geostationary satellite data: A case study of a torrential rain event in Kyushu, Japan. Remote Sensing, 12(11), 1734. doi:10.3390/rs12111734

Mausio, K., Miura, T., & Lincoln, N. K. (2020). Cultivation potential projections of breadfruit (Artocarpus altilis) under climate change scenarios using an empirically validated suitability model calibrated in Hawai’i. PLoS ONE, 15(5), e0228552. doi:10.1371/journal.pone.0228552

Miura, T., Nagai, S., Takeuchi, M., Ichii, K., & Yoshioka, H. (2019). Improved characterisation of vegetation and land surface dynamics in Central Japan with Himawari-8 Hypertemporal data. Scientific Reports, 9(1), 15692. doi:10.1038/s41598-019-52076-x

Miura, T. & Nagai, S. (2019). Monitoring terrestrial vegetation and the environment with new-generation geostationary satellites. Journal of the Remote Sensing Society of Japan, 39(5), 377-383. doi:10.11440/rssj.39.377

Miura, T., Muratsuchi, J., and Vargas, M. (2018). Assessment of cross-sensor vegetation index compatibility between VIIRS and MODIS using near-coincident observations. Journal of Applied Remote Sensing, 12(4), 045004-045012. doi:10.1117/1.JRS.12.045004

Nagai, S., Akitsu, T., Saitoh, T. M., Busey, R. C., Fukuzawa, K., Honda, Y., …, Miura, T., …, Nasahara, K. N. (2018). 8 million phenological and sky images from 29 ecosystems from the Arctic to the tropics: the Phenological Eyes Network. Ecological Research. doi:10.1007/s11284-018-1633-x (Data Paper)

Nong, D. H., Lepczyk, C. A., Miura, T., & Fox, J. M. (2018). Quantifying urban growth patterns in Hanoi using landscape expansion modes and time series spatial metrics. PLOS ONE 13(5):e0196940. doi:10.1371/journal.pone.0196940

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

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

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

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

Jiang, Z., Huete, A. R., Didan, K., and Miura, T. (2008). Development of a 2-band Enhanced Vegetation Index without a blue band. Remote Sensing of Environment 112(10):3833-3845.

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