Skip to content
JournalsWorldThe Global Research Discovery Platform
Featured Dataset

2020 forest age map for China with 30 m resolution

We constructed a framework for estimating China’s forest age by combining remote sensing time series analysis and machine learning algorithms based on over 50 000 field measurements and a remote sensing dataset. We use the proposed framework to generate a spatially explicit forest ag

👤
CreatorKai Cheng
📅
Published2023-09-18
🔗
DOI10.5281/zenodo.8354262
📊
Downloads7,180
⚖️
Licensecc-by-4.0
File Size1.6 GB
Data TypeDataset
Published2023
Licensecc-by-4.0
Total Views3,541
Total Downloads7,180

We constructed a framework for estimating China’s forest age by combining remote sensing time series analysis and machine learning algorithms based on over 50 000 field measurements and a remote sensing dataset. We use the proposed framework to generate a spatially explicit forest age map for China for the year 2020 and with 30 m resolution. The map is validated by comparison with independent field plots, which produces an R2 for the estimated forest-age map ranging from 0.51 to 0.63. Nationally, the average forest age is 56.1 years (standard deviation =32.7 years).

📤 Share this page

Found this useful? Share it with your network.

✓ Link copied! Paste it on ResearchGate / Academia.edu
📦
2020 forest age map for China with 30… (Full Dataset)1.6 GB
⬇
📄
ReadmeVia DOI record
↗

Files are hosted on the source repository. Click download to access the full dataset.

Kai Cheng (2023). 2020 forest age map for China with 30 m resolution. https://doi.org/10.5281/zenodo.8354262