Forest Age Map for China in 2020 at 30-Meter Resolution

2020 forest age data for China, generated by combining remote sensing time series analysis and machine learning algorithms based on over 50,000 field measurements. The map has a spatial resolution of 30 meters and was validated against independent field plots, producing an R² ranging from 0.51 to 0.63. The dataset was created by Kai Cheng of Peking University.

Use Cases

• Modeling forest carbon stocks and sequestration based on estimated forest age.
• Analyzing forest disturbance and recovery patterns over time using the 30-meter resolution map.
• Validating and calibrating other land cover or ecological models using the field-validated age estimates.
• Assessing national forest resource dynamics and management effectiveness based on the average forest age of 56.1 years.

Strengths

• Validation against independent field plots produced an R² between 0.51 and 0.63.
• Based on a foundation of over 50,000 field measurements.
• Provides a spatially explicit map at a high 30-meter resolution.
• Reports a national average forest age of 56.1 years with a standard deviation of 32.7 years.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• Data may reflect geographic bias inherent to the source platform and the specific methodology used.

Provenance

Source

Kai Cheng, Peking University, via paperswithcode.

Collection Method

Constructed using a framework combining remote sensing time series analysis and machine learning algorithms.

Time Range

2020

Geography

China