Reference

  • Data Resource
  • NASA Space Apps Challenge

    EMIT Imaging Spectroscopy Data

  • Indicator Analysis
  • Taiwan Instrument Research Institute

  • Paper
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    Gholizadeh, H., Gamon, J. A., Townsend, P. A., Zygielbaum, A. I., Helzer, C. J., Hmimina, G. Y., Yu, R., Moore, R. M., Schweiger, A. K., & Cavender-Bares, J. (2019). Detecting prairie biodiversity with airborne remote sensing. Remote Sensing of Environment, 221, 38–49. https://doi.org/10.1016/j.rse.2018.10.037

    Mulder, V. L., de Bruin, S., Schaepman, M. E., & Mayr, T. R. (2011). The use of remote sensing in soil and terrain mapping—A review. Geoderma, 162(1), 1–19. https://doi.org/10.1016/j.geoderma.2010.12.018

    Pan, X., Zhu, X., Yang, Y., Cao, C., Zhang, X., & Shan, L. (2018). Applicability of Downscaling Land Surface Temperature by Using Normalized Difference Sand Index. Scientific Reports, 8(1), Article 1. https://doi.org/10.1038/s41598-018-27905-0

    Schnitzler, J., Barraclough, T. G., Boatwright, J. S., Goldblatt, P., Manning, J. C., Powell, M. P., Rebelo, T., & Savolainen, V. (2011). Causes of Plant Diversification in the Cape Biodiversity Hotspot of South Africa. Systematic Biology, 60(3), 343–357. https://doi.org/10.1093/sysbio/syr006

    Ustin, S. L., & Gamon, J. A. (2010). Remote sensing of plant functional types. New Phytologist, 186(4), 795–816. https://doi.org/10.1111/j.1469-8137.2010.03284.x

    Wang, R., & Gamon, J. A. (2019). Remote sensing of terrestrial plant biodiversity. Remote Sensing of Environment, 231, 111218. https://doi.org/10.1016/j.rse.2019.111218