Number of items: 3.
2018
Tahmasbian, I., Hosseini Bai, S., Wang, Y., Boyd, S., Zhou, J., Esmaeilani, R. and Xu, Z.
(2018)
Using laboratory-based hyperspectral imaging method to determine carbon functional group distributions in decomposing forest litterfall.
CATENA, 167
.
pp. 18-27.
https://doi.org/10.1016/j.catena.2018.04.023
Tahmasbian, I., Xu, Z., Boyd, S., Zhou, J., Esmaeilani, R., Che, R. and Hosseini Bai, S.
(2018)
Laboratory-based hyperspectral image analysis for predicting soil carbon, nitrogen and their isotopic compositions.
Geoderma, 330
.
pp. 254-263.
https://doi.org/10.1016/j.geoderma.2018.06.008
2017
Tahmasbian, I., Xu, Z., Abdullah, K., Zhou, J., Esmaeilani, R., Nguyen, T. T. N. and Hosseini Bai, S.
(2017)
The potential of hyperspectral images and partial least square regression for predicting total carbon, total nitrogen and their isotope composition in forest litterfall samples.
Journal of Soils and Sediments, 17
(8).
pp. 2091-2103.
https://doi.org/10.1007/s11368-017-1751-z
This list was generated on Tue Jul 28 11:18:44 2026 UTC.