Prediction and mapping of leaf water content in Populus alba var. pyramidalis using hyperspectral imagery
Zhao-Kui Li, Hong-Li Li, Xue-Wei Gong, Heng-Fang Wang, Guang-You Hao · 2024
Read Prediction and mapping of leaf water content in Populus alba var. pyramidalis using hyperspectral imagery by Zhao-Kui Li, Hong-Li Li, Xue-Wei Gong, Heng-Fang Wang, Guang-You Hao (2024) 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-11656988.txt.
Description
Zhao-Kui Li and co-authors use rich light data to gauge water in the leaves of a poplar tree, in a 2024 study. Leaf water shows how a tree is coping with drought. The usual measure needs cut samples, which is slow and harms the tree. Light-based imaging offers a way to read water without cutting.
The poplar is widely planted as a farm windbreak in dry northern China. It is also prone to drought stress. Leaves were dried to set levels and scanned at each stage. The team built models from narrow light bands and from many bands at once. Two single-band measures in visible light stood out. Such models could map drought stress across forests from the air.
Catalog record
| CREATOR | Zhao-Kui Li, Hong-Li Li, Xue-Wei Gong, Heng-Fang Wang, Guang-You Hao |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 64 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |