Regional-scale prediction and assessment of soil organic matter content in the Yuanmou Dry-Hot Valley, Southwest China, using satellite-derived phenological time series and deep learning.
- DOI
- 10.1007/s10661-026-15659-6
- Published
- 2026 Jul 12
- Container
- Environmental monitoring and assessment
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1007/s10661-026-15659-6,
title = {Regional-scale prediction and assessment of soil organic matter content in the Yuanmou Dry-Hot Valley, Southwest China, using satellite-derived phenological time series and deep learning.},
author = {Ding D and Yang J and Deng S and Zhu H and Ma Z and Fu C and Deng J and Zhao D and Long Z and Wang X and Yang P and Chen Q and Zhang Q},
year = {2026},
journal = {Environmental monitoring and assessment},
doi = {10.1007/s10661-026-15659-6},
url = {https://doi.org/10.1007/s10661-026-15659-6}
}RIS
TY - JOUR TI - Regional-scale prediction and assessment of soil organic matter content in the Yuanmou Dry-Hot Valley, Southwest China, using satellite-derived phenological time series and deep learning. AU - Ding D AU - Yang J AU - Deng S AU - Zhu H AU - Ma Z AU - Fu C AU - Deng J AU - Zhao D AU - Long Z AU - Wang X AU - Yang P AU - Chen Q AU - Zhang Q PY - 2026 JO - Environmental monitoring and assessment DO - 10.1007/s10661-026-15659-6 UR - https://doi.org/10.1007/s10661-026-15659-6 ER -
APA
D, D., J, Y., S, D., H, Z., Z, M., C, F., J, D., D, Z., Z, L., X, W., P, Y., Q, C., & Q, Z. (2026). Regional-scale prediction and assessment of soil organic matter content in the Yuanmou Dry-Hot Valley, Southwest China, using satellite-derived phenological time series and deep learning.. Environmental monitoring and assessment. https://doi.org/10.1007/s10661-026-15659-6
Source records
- pubmed · retrieved 2026-09-25T20:06:21.328Z
- europe-pmc · retrieved 2026-09-25T20:06:21.335Z