Quantitative retrieval of soil total nitrogen content from airborne hyperspectral data combining spectral transformations and machine learning algorithms
- DOI
- 10.1016/j.envres.2026.125390
- Published
- 2026-09
- Container
- Environmental Research
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.envres.2026.125390,
title = {Quantitative retrieval of soil total nitrogen content from airborne hyperspectral data combining spectral transformations and machine learning algorithms},
author = {Yibo Zhao and Shaogang Lei},
year = {2026},
journal = {Environmental Research},
doi = {10.1016/j.envres.2026.125390},
url = {https://doi.org/10.1016/j.envres.2026.125390}
}RIS
TY - JOUR TI - Quantitative retrieval of soil total nitrogen content from airborne hyperspectral data combining spectral transformations and machine learning algorithms AU - Yibo Zhao AU - Shaogang Lei PY - 2026 JO - Environmental Research DO - 10.1016/j.envres.2026.125390 UR - https://doi.org/10.1016/j.envres.2026.125390 ER -
APA
Zhao, Y., & Lei, S. (2026). Quantitative retrieval of soil total nitrogen content from airborne hyperspectral data combining spectral transformations and machine learning algorithms. Environmental Research. https://doi.org/10.1016/j.envres.2026.125390
Source records
- crossref · retrieved 2026-09-25T21:40:44.844Z