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

• المؤلفون الرئيسيون: Tatsuro Nakaji, Hiroyuki Oguma, Masahiro Nakamura, Panida Kachina, Lamthai Asanok, Dokrak Marod, Masahiro Aiba, Hiroko Kurokawa, Yoshiko Kosugi, Abdul Rahman Kassim, Tsutom Hiura
• التنسيق: دورية
• منشور في: 2020
• الموضوعات: Agricultural and Biological Sciences; Earth and Planetary Sciences
• الوصول للمادة أونلاين: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072232799&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/67516
• المؤسسة: 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...