The novel method for LAI inversion using Lidar and hyperspectral data
For inversion of Leaf area index (LAI) in large scale, it is of great significance to integrate space-borne Lidar and optical remote sensing data effectively. In order to improve the estimation precision of leaf area index, an analyzing method based on Lidar and hyperspectral data was proposed. Thro...
Gespeichert in:
| Datum: | 2017 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
НТК «Інститут монокристалів» НАН України
2017
|
| Schriftenreihe: | Functional Materials |
| Schlagworte: | |
| Online Zugang: | http://dspace.nbuv.gov.ua/handle/123456789/136804 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Zitieren: | The novel method for LAI inversion using Lidar and hyperspectral data / Zuowei Huang, Feng Liu, Guangwei Hu // Functional Materials. — 2017. — Т. 24, № 3. — С. 442-450. — Бібліогр.: 23 назв. — англ. |