Examination of the Quantitative Relationship between Vegetation Canopy Height and LAI
Accurate estimation of vegetation biophysical variables such as the vegetation canopy height (H) is of great importance to the applications of the land surface models. It is difficult to obtain the data of H at the regional scale or larger scale, but the remote sensing provides the most useful and m...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2013/964323 |
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| author | Yongwei Yuan Xinsheng Wang Fang Yin Jinyan Zhan |
| author_facet | Yongwei Yuan Xinsheng Wang Fang Yin Jinyan Zhan |
| author_sort | Yongwei Yuan |
| collection | DOAJ |
| description | Accurate estimation of vegetation biophysical variables such as the vegetation canopy height (H) is of great importance to the applications of the land surface models. It is difficult to obtain the data of H at the regional scale or larger scale, but the remote sensing provides the most useful and most effective method. The leaf area index (LAI) is closely related to the H, and we analyzed its relationship with the correlation analysis based on the dataset at 86 site-years of field measurements from sites worldwide in this study. The result indicates that there is significant positive exponent correlation between these two parameters and the change of LAI would exert great impacts on H. The higher the LAI is, the higher the H is, and vice versa. Besides, the coefficients of different land cover types are very heterogeneous, and LAI of the needleleaf forest shows strong correlation with H, while that of the cropland shows weak correlation with H. The results may provide certain reference information for the extraction of the data of H at the regional scale with the remote sensing data. |
| format | Article |
| id | doaj-art-b0f8d7aaf9bb4e3284e0d7bf0a784027 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-b0f8d7aaf9bb4e3284e0d7bf0a7840272025-02-03T06:12:55ZengWileyAdvances in Meteorology1687-93091687-93172013-01-01201310.1155/2013/964323964323Examination of the Quantitative Relationship between Vegetation Canopy Height and LAIYongwei Yuan0Xinsheng Wang1Fang Yin2Jinyan Zhan3Faculty of Resources and Environmental Science, Hubei University, Hubei, Wuhan 430062, ChinaFaculty of Resources and Environmental Science, Hubei University, Hubei, Wuhan 430062, ChinaInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, ChinaAccurate estimation of vegetation biophysical variables such as the vegetation canopy height (H) is of great importance to the applications of the land surface models. It is difficult to obtain the data of H at the regional scale or larger scale, but the remote sensing provides the most useful and most effective method. The leaf area index (LAI) is closely related to the H, and we analyzed its relationship with the correlation analysis based on the dataset at 86 site-years of field measurements from sites worldwide in this study. The result indicates that there is significant positive exponent correlation between these two parameters and the change of LAI would exert great impacts on H. The higher the LAI is, the higher the H is, and vice versa. Besides, the coefficients of different land cover types are very heterogeneous, and LAI of the needleleaf forest shows strong correlation with H, while that of the cropland shows weak correlation with H. The results may provide certain reference information for the extraction of the data of H at the regional scale with the remote sensing data.http://dx.doi.org/10.1155/2013/964323 |
| spellingShingle | Yongwei Yuan Xinsheng Wang Fang Yin Jinyan Zhan Examination of the Quantitative Relationship between Vegetation Canopy Height and LAI Advances in Meteorology |
| title | Examination of the Quantitative Relationship between Vegetation Canopy Height and LAI |
| title_full | Examination of the Quantitative Relationship between Vegetation Canopy Height and LAI |
| title_fullStr | Examination of the Quantitative Relationship between Vegetation Canopy Height and LAI |
| title_full_unstemmed | Examination of the Quantitative Relationship between Vegetation Canopy Height and LAI |
| title_short | Examination of the Quantitative Relationship between Vegetation Canopy Height and LAI |
| title_sort | examination of the quantitative relationship between vegetation canopy height and lai |
| url | http://dx.doi.org/10.1155/2013/964323 |
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