The potential of hyperspectral images and partial least square regression for predicting total carbon, total nitrogen and their isotope composition in forest litterfall samples
Crossref DOI link: https://doi.org/10.1007/s11368-017-1751-z
Published Online: 2017-06-15
Published Print: 2017-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Tahmasbian, Iman
Xu, Zhihong
Abdullah, Kadum
Zhou, Jun
Esmaeilani, Roya
Nguyen, Thi Thu Nhan
Hosseini Bai, Shahla
Funding for this research was provided by:
Griffith University
License valid from 2017-06-15