Determining maximum entropy in 3D remote sensing height distributions and using it to improve aboveground biomass modelling via stratification
Research output: Contribution to journal › Article › peer-review
Electronic versions
Documents
- Adnanetal.2020._RSEacceptedManuscript
Accepted author manuscript, 1.65 MB, PDF document
Licence: CC BY-NC-ND Show licence
Links
DOI
Keywords
- Forest structure, Forest aboveground biomass, Gini coefficient, L-moments, Airborne laser scanning
| Original language | English |
|---|---|
| Pages (from-to) | 112464 |
| Number of pages | 1 |
| Journal | Remote Sensing of Environment |
| Volume | 260 |
| Early online date | 23 Apr 2021 |
| DOIs | |
| Publication status | Published - Jul 2021 |
Total downloads
No data available