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...
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| Дата: | 2017 |
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| Автори: | , , |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
НТК «Інститут монокристалів» НАН України
2017
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| Назва видання: | Functional Materials |
| Теми: | |
| Онлайн доступ: | http://dspace.nbuv.gov.ua/handle/123456789/136804 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Цитувати: | 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. |
Репозитарії
Digital Library of Periodicals of National Academy of Sciences of Ukraine| id |
irk-123456789-136804 |
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dspace |
| spelling |
irk-123456789-1368042018-06-17T03:04:05Z The novel method for LAI inversion using Lidar and hyperspectral data Zuowei Huang Feng Liu Guangwei Hu Modeling and simulation 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. 2017 Article 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 http://dspace.nbuv.gov.ua/handle/123456789/136804 en Functional Materials НТК «Інститут монокристалів» НАН України |
| institution |
Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| collection |
DSpace DC |
| language |
English |
| topic |
Modeling and simulation Modeling and simulation |
| spellingShingle |
Modeling and simulation Modeling and simulation Zuowei Huang Feng Liu Guangwei Hu The novel method for LAI inversion using Lidar and hyperspectral data Functional Materials |
| 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. |
| format |
Article |
| author |
Zuowei Huang Feng Liu Guangwei Hu |
| author_facet |
Zuowei Huang Feng Liu Guangwei Hu |
| author_sort |
Zuowei Huang |
| title |
The novel method for LAI inversion using Lidar and hyperspectral data |
| 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 |
| publisher |
НТК «Інститут монокристалів» НАН України |
| publishDate |
2017 |
| topic_facet |
Modeling and simulation |
| url |
http://dspace.nbuv.gov.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. |
| series |
Functional Materials |
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2023-10-18T21:14:14Z |
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2023-10-18T21:14:14Z |
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