Regional Forest Stock Volume Mapping for Jingdong County, Yunnan, China

143 sample plots of Pinus kesiya var. langbianensis forests in Jingdong County, Yunnan, China, were used to develop a machine learning model for Forest Stock Volume (FSV) estimation. The model, created by Zeyu Li, combined GEDI LiDAR, Landsat-8 imagery, and topographic data, achieving an R² of 0.93 and estimating a total standing stock of approximately 8.66 × 10⁷ m³ for 2019. The dataset includes the resulting spatially explicit FSV map.

Use Cases

• Update forest inventory databases based on the spatially explicit FSV map.
• Monitor forest productivity and carbon storage based on the estimated volume per hectare.
• Prioritize forest management areas based on the mapped stock volume distribution.
• Validate and compare remote sensing interpolation methods for FSV estimation based on the comparison of six methods.

Strengths

• Model performance is high, with a reported R² of 0.93 and RMSE of 9.50 m³/ha.
• The dataset is based on 143 field sample plots for model training and validation.
• The methodology integrates multiple data sources: GEDI LiDAR, Landsat-8 imagery, and topographic variables.

Limitations

• The dataset is very small (15.8 KB), suggesting it may contain only summary results or a document, not the full underlying geospatial data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Geographic scope is limited to a single county (Jingdong County, Yunnan, China).

Provenance

Source

Zeyu Li via figshare.

Collection Method

Combined field measurements from 143 sample plots with GEDI LiDAR metrics, Landsat-8 imagery, and topographic variables using a multi-level stacking ensemble model.

Time Range

2019

Freshness

Last updated 2026-04-30 05:41:41; freshness should be verified.

Geography

Jingdong County, Yunnan, China.