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:
| Veröffentlicht in: | Functional Materials |
|---|---|
| Datum: | 2017 |
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
НТК «Інститут монокристалів» НАН України
2017
|
| Schlagworte: | |
| Online Zugang: | https://nasplib.isofts.kiev.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. |
Institution
Digital Library of Periodicals of National Academy of Sciences of Ukraine| id |
nasplib_isofts_kiev_ua-123456789-136804 |
|---|---|
| record_format |
dspace |
| spelling |
Zuowei Huang Feng Liu Guangwei Hu 2018-06-16T16:34:18Z 2018-06-16T16:34:18Z 2017 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. 1027-5495 DOI: https://doi.org/10.15407/fm24.03.442 https://nasplib.isofts.kiev.ua/handle/123456789/136804 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. Through the processing of Lidar (Light Identification Detection and Ranging) and hyperspectral data, the LAI estimation model was established based on statistic analysis method in the study area. The results showed that the Lidar and hyperspectral data joint inversion model which considers the optical remote sensing of biophysical parameters can provide good estimates of LAI inversion, shows high accuracy (R2=0.8948, RMSE=0.2120),which reveals the great potential to enhance the accuracy of LAI estimation by using Lidar and hyperspectral data. en НТК «Інститут монокристалів» НАН України Functional Materials Modeling and simulation The novel method for LAI inversion using Lidar and hyperspectral data Article published earlier |
| institution |
Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| collection |
DSpace DC |
| title |
The novel method for LAI inversion using Lidar and hyperspectral data |
| spellingShingle |
The novel method for LAI inversion using Lidar and hyperspectral data Zuowei Huang Feng Liu Guangwei Hu Modeling and simulation |
| title_short |
The novel method for LAI inversion using Lidar and hyperspectral data |
| title_full |
The novel method for LAI inversion using Lidar and hyperspectral data |
| title_fullStr |
The novel method for LAI inversion using Lidar and hyperspectral data |
| title_full_unstemmed |
The novel method for LAI inversion using Lidar and hyperspectral data |
| title_sort |
novel method for lai inversion using lidar and hyperspectral data |
| author |
Zuowei Huang Feng Liu Guangwei Hu |
| author_facet |
Zuowei Huang Feng Liu Guangwei Hu |
| topic |
Modeling and simulation |
| topic_facet |
Modeling and simulation |
| publishDate |
2017 |
| language |
English |
| container_title |
Functional Materials |
| publisher |
НТК «Інститут монокристалів» НАН України |
| format |
Article |
| description |
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. Through the processing of Lidar (Light Identification Detection and Ranging) and hyperspectral data, the LAI estimation model was established based on statistic analysis method in the study area. The results showed that the Lidar and hyperspectral data joint inversion model which considers the optical remote sensing of biophysical parameters can provide good estimates of LAI inversion, shows high accuracy (R2=0.8948, RMSE=0.2120),which reveals the great potential to enhance the accuracy of LAI estimation by using Lidar and hyperspectral data.
|
| issn |
1027-5495 |
| url |
https://nasplib.isofts.kiev.ua/handle/123456789/136804 |
| citation_txt |
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. |
| work_keys_str_mv |
AT zuoweihuang thenovelmethodforlaiinversionusinglidarandhyperspectraldata AT fengliu thenovelmethodforlaiinversionusinglidarandhyperspectraldata AT guangweihu thenovelmethodforlaiinversionusinglidarandhyperspectraldata AT zuoweihuang novelmethodforlaiinversionusinglidarandhyperspectraldata AT fengliu novelmethodforlaiinversionusinglidarandhyperspectraldata AT guangweihu novelmethodforlaiinversionusinglidarandhyperspectraldata |
| first_indexed |
2025-12-07T16:42:46Z |
| last_indexed |
2025-12-07T16:42:46Z |
| _version_ |
1850868515490234368 |