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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| Опубліковано в: : | Functional Materials |
|---|---|
| Дата: | 2017 |
| Автори: | , , |
| Формат: | Стаття |
| Мова: | Англійська |
| Опубліковано: |
НТК «Інститут монокристалів» НАН України
2017
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| Теми: | |
| Онлайн доступ: | https://nasplib.isofts.kiev.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| _version_ | 1862701607560413184 |
|---|---|
| author | Zuowei Huang Feng Liu Guangwei Hu |
| author_facet | Zuowei Huang Feng Liu Guangwei Hu |
| 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. |
| collection | DSpace DC |
| container_title | 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.
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| first_indexed | 2025-12-07T16:42:46Z |
| format | Article |
| fulltext | |
| id | nasplib_isofts_kiev_ua-123456789-136804 |
| institution | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| issn | 1027-5495 |
| language | English |
| last_indexed | 2025-12-07T16:42:46Z |
| publishDate | 2017 |
| publisher | НТК «Інститут монокристалів» НАН України |
| 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 |
| spellingShingle | The novel method for LAI inversion using Lidar and hyperspectral data Zuowei Huang Feng Liu Guangwei Hu Modeling and simulation |
| title | 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_short | The novel method for LAI inversion using Lidar and hyperspectral data |
| title_sort | novel method for lai inversion using lidar and hyperspectral data |
| topic | Modeling and simulation |
| topic_facet | Modeling and simulation |
| url | https://nasplib.isofts.kiev.ua/handle/123456789/136804 |
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