Estimation of six leaf traits of East Asian forest tree species by leaf spectroscopy and partial least square regression

• Main Authors: Tatsuro Nakaji, Hiroyuki Oguma, Masahiro Nakamura, Panida Kachina, Lamthai Asanok, Dokrak Marod, Masahiro Aiba, Hiroko Kurokawa, Yoshiko Kosugi, Abdul Rahman Kassim, Tsutom Hiura
• 格式: 雜誌
• 出版: 2020
• 主題: Agricultural and Biological Sciences; Earth and Planetary Sciences
• 在線閱讀: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072232799&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/67516
• 機構: Chiang Mai University

© 2019 Elsevier Inc. To elucidate the potential of hyperspectral remote sensing for estimating the functional leaf traits in East Asian forests, we investigated the utility of leaf spectroscopy and partial least square regression (PLSR) models for 141 tree species distributed widely across cool temp...