Preliminary study on integrated wireless smart terminals for leaf area index measurement
文献类型：期刊论文
| 作者 | Qu, Yonghua1; Meng, Jihua1; Wan, Huawei1; Li, Yetao1 |
| 刊名 | Computers and Electronics in Agriculture
 |
| 出版日期 | 2016 |
| 卷号 | 129页码:56-65 |
| 关键词 | WATER TRACERS STREAM HEAT MULTIPLE MODELS |
| 通讯作者 | Qu, Yonghua (qyh@bnu.edu.cn) |
| 英文摘要 | The last few decades have seen the emergence of many new methods for measuring leaf area index (LAI). One attractive method is to measure LAI by using a readily available simple instrument, such as a smartphone, as an alternative to traditional complicated and thus costly commercial instruments. We designed a novel integrated LAI measurement system, LAISmart, which is implemented by using two smart terminals communicating through a wireless connection in an integrated support infrastructure. The LAI is calculated by using the Beer gap fraction model on the assumption of spherical leaf angle distribution that takes the G value (the projection of unit foliage area on the plane perpendicular to the view direction θ) as constant at 0.5. The gap fraction is calculated by segmenting the image pixel into canopy and background. For the selection of image segment features, LAISmart provides two options, greenness index and blue band, which may be suited to different vegetation types. The proposed LAISmart was validated by measurements on four types of vegetation, i.e., Evergreen Needleleaf Forest (ENF), Deciduous Broadleaf Forest (DBF), Deciduous Needleleaf Forest (DNF), and broadleaf crop, on which 114 LAI values were calculated in the eight datasets. A pairwise comparison between LAISmart and LAI-2000 showed that the LAI values derived from LAISmart correlated strongly with those of the LAI-2000, with an R2value of 0.97, and had high accuracy in total, with a root–mean–square error (RMSE) of 0.45 m2/m2. The validation results revealed that the overestimation on LAI caused by underestimation of the G value might complement the bias caused by misclassification. Moreover, although there is no limitation on the shooting angle of LAISmart, it is recommended that LAISmart be used at the low zenith angle mode, e.g., upward- or downward-looking mode, rather than at the large zenith angle. Further validation will focus on other vegetation types such as grass and shrubs in order to improve the performance of LAISmart for different vegetation types. © 2016 Elsevier B.V. |
| 学科主题 | Agriculture; Computer Science |
| 类目[WOS] | Agriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20163902846579 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39458]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. State Key Laboratory of Remote Sensing Science, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing 2.100875, China 3. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 4.100101, China 5. Satellite Environment Center, Ministry of Environmental Protection, Beijing 6.100094, China |
| 推荐引用方式 GB/T 7714 | Qu, Yonghua,Meng, Jihua,Wan, Huawei,et al. Preliminary study on integrated wireless smart terminals for leaf area index measurement[J]. Computers and Electronics in Agriculture,2016,129:56-65. |
| APA | Qu, Yonghua,Meng, Jihua,Wan, Huawei,&Li, Yetao.(2016).Preliminary study on integrated wireless smart terminals for leaf area index measurement.Computers and Electronics in Agriculture,129,56-65. |
| MLA | Qu, Yonghua,et al."Preliminary study on integrated wireless smart terminals for leaf area index measurement".Computers and Electronics in Agriculture 129(2016):56-65. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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