Wood science and technology contribute to the Sustainable Development Goals (SDGs) in many ways. For example, by promoting sustainable forestry, they help in the appropriate management and conservation of forest resources, directly contributing to the protection of biodiversity (SDG15) and enhancing mitigation and adaptation to climate change (SDG13). Increasing demand for wood and wood products can also increase income from sustainable forestry, contributing to the improvement of livelihoods for communities involved in forestry (SDG1, SDG8). Furthermore, as wood is a renewable resource obtained from properly managed forests, it plays a role as a sustainable building material (SDG11, SDG12). Several kinds of state-of-art technology is useful for this. Especially, spectroscopic and imaging method is a great method for examining organic compounds, often used with advanced data analysis techniques. We show how spectroscopic and imaging method can contribute to sustained food supply. Thanks to improvements in spectral imaging and data analysis, some devices can do more than ever before.

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NIR Spectroscopy Contributed to SDGs—From Viewpoint of Wood Science and Technology

  • Satoru Tsuchikawa,
  • Tetsuya Inagaki,
  • Te Ma

摘要

Wood science and technology contribute to the Sustainable Development Goals (SDGs) in many ways. For example, by promoting sustainable forestry, they help in the appropriate management and conservation of forest resources, directly contributing to the protection of biodiversity (SDG15) and enhancing mitigation and adaptation to climate change (SDG13). Increasing demand for wood and wood products can also increase income from sustainable forestry, contributing to the improvement of livelihoods for communities involved in forestry (SDG1, SDG8). Furthermore, as wood is a renewable resource obtained from properly managed forests, it plays a role as a sustainable building material (SDG11, SDG12). Several kinds of state-of-art technology is useful for this. Especially, spectroscopic and imaging method is a great method for examining organic compounds, often used with advanced data analysis techniques. We show how spectroscopic and imaging method can contribute to sustained food supply. Thanks to improvements in spectral imaging and data analysis, some devices can do more than ever before.