The capability of SOC content prediction by employing two stacking ensemble learning models based on Landsat 9 imagery.
- DOI
- 10.1007/s10661-026-15923-9
- Published
- 2026 Sep 18
- Container
- Environmental monitoring and assessment
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10661-026-15923-9,
title = {The capability of SOC content prediction by employing two stacking ensemble learning models based on Landsat 9 imagery.},
author = {Lv Y and Zhao C and Li X and Hu X},
year = {2026},
journal = {Environmental monitoring and assessment},
doi = {10.1007/s10661-026-15923-9},
url = {https://doi.org/10.1007/s10661-026-15923-9}
}RIS
TY - JOUR TI - The capability of SOC content prediction by employing two stacking ensemble learning models based on Landsat 9 imagery. AU - Lv Y AU - Zhao C AU - Li X AU - Hu X PY - 2026 JO - Environmental monitoring and assessment DO - 10.1007/s10661-026-15923-9 UR - https://doi.org/10.1007/s10661-026-15923-9 ER -
APA
Y, L., C, Z., X, L., & X, H. (2026). The capability of SOC content prediction by employing two stacking ensemble learning models based on Landsat 9 imagery.. Environmental monitoring and assessment. https://doi.org/10.1007/s10661-026-15923-9
Source records
- pubmed · retrieved 2026-09-25T19:39:06.290Z