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.

Ding D, Yang J, Deng S, Zhu H, Ma Z, Fu C, Deng J, Zhao D, Long Z, Wang X, Yang P, Chen Q, Zhang Q

Open source

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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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

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