A 30 m forest dominant height dataset for China in 2020
Yuling Chen, Guangcai Xu, Haitao Yang, Qinghua Guo · 2026
Read A 30 m forest dominant height dataset for China in 2020 by Yuling Chen, Guangcai Xu, Haitao Yang, Qinghua Guo (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13547238.txt.
Description
Yuling Chen and colleagues built a country-wide map of China's tallest-tree heights for 2020. Published in 2026, the dataset leans on 1,117 square kilometers of drone laser scans spread across eight plant zones. Top height tracks site quality and growth promise, yet steady country-wide height data were scarce.
Thirty map inputs from weather, soil, terrain, plant cover, and radar feeds fed a two-stage hybrid model that kept local detail while smoothing zone edges. The map gives a shared baseline for site ranking, yield planning, biomass and carbon counts, layered structure study, and space laser mission checks. Readers get a fine-grained tool for forest care and carbon tracking across China.
Catalog record
| CREATOR | Yuling Chen, Guangcai Xu, Haitao Yang, Qinghua Guo |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |