Mapping Soil Organic Carbon by Integrating Time-Series Sentinel-2 Data, Environmental Covariates and Multiple Ensemble Models
Despite extensive use of Sentinel-2 (S-2) data for mapping soil organic carbon (SOC), how to fully mine the potential of time-series S-2 data still remains unclear. To fill this gap, this study introduced an innovative approach for mining time-series data. Using 200 top soil organic carbon samples a...
Saved in:
| Main Authors: | Zhibo Cui, Songchao Chen, Bifeng Hu, Nan Wang, Chunhui Feng, Jie Peng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/7/2184 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
High-Accuracy Mapping of Soil Organic Carbon by Mining Sentinel-1/2 Radar and Optical Time-Series Data with Super Ensemble Model
by: Zhibo Cui, et al.
Published: (2025-02-01) -
A Novel Framework for Improving Soil Organic Carbon Mapping Accuracy by Mining Temporal Features of Time-Series Sentinel-1 Data
by: Zhibo Cui, et al.
Published: (2025-03-01) -
Influence of GLCM texture parameters on lithological mapping using Sentinel-1 imagery
by: Yi Lu, et al.
Published: (2024-01-01) -
National-scale mapping topsoil organic carbon of cropland in China using multitemporal Sentinel-2 images
by: Jie Xue, et al.
Published: (2025-04-01) -
Weighted average ensemble for Cholesky-based covariance matrix estimation
by: Xiaoning Kang, et al.
Published: (2025-04-01)