Continuous estimation of canopy leaf area index (LAI) and clumping index over broadleaf crop fields: An investigation of the PASTIS-57 instrument and smartphone applications
文献类型：期刊论文
| 作者 | Fang, Hongliang1,2; Ye, Yongchang1,2; Liu, Weiwei1,2; Wei, Shanshan1,2; Ma, Li1,2 |
| 刊名 | AGRICULTURAL AND FOREST METEOROLOGY
 |
| 出版日期 | 2018-05-01 |
| 卷号 | 253页码:48-61 |
| ISSN号 | 0168-1923 |
| 关键词 | Leaf area index (LAI) Plant area index (PAI) Clumping index PASTIS-57 PocketLAI LAISmart LAI-2200 Digital hemispherical photography (DHP) Maize Soybean Sorghum |
| DOI | 10.1016/j.agrformet.2018.02.003 |
| 通讯作者 | Fang, Hongliang(fanghl@lreis.ac.cn) |
| 英文摘要 | Automatic leaf area index (LAI) measurements are important for obtaining sufficient amounts of field data over an extended period of time. A seasonal field campaign was carried out to obtain continuous LAI measurements over maize, soybean, and sorghum fields in northeast China in 2016. Field LAI measurements were acquired with the automatic PASTIS-57 (PAI Autonomous System from Transmittance Instantaneous Sensed from 57 degrees) installment and two smartphone applications, PocketLAI and LAISmart. These measurements were compared with data obtained using the LAI-2200 Plant Canopy Analyzer, digital hemispherical photography (DHP), and destructive sampling measurements. The effective plant area index (PAI(eff)) estimates from LAI-2200 and DHP are consistent over the season, with the overall relative errors (RE) of less than 5%. The PASTIS-57 data exhibit a small underestimation of the LAI-2200 and DHP values (RE < 20%). The relative errors for the LAISmart data are between -20% and -30%. PocketLAI significantly underestimates the LAI-2200 values (RE > 40%) and saturates at around PAI(eff) = 3.5. The canopy clumping index (CI) exhibits an S-shaped seasonal variation that decreases with the increase of PAI(eff) during the vegetative growth stage but increases after this stage. PASTIS-57 shows great potential for obtaining continuous LAI measurements in agricultural crop fields, but the smartphone applications should be further examined before they can be used for research purposes. The data collected in this study are valuable for the validation of remote sensing products. |
| WOS关键词 | DIGITAL HEMISPHERICAL PHOTOGRAPHY ; WIRELESS SENSOR NETWORK ; SEASONAL-VARIATION ; NORTHEAST CHINA ; VALIDATION ; MODEL ; PRODUCTS ; FOREST ; ARCHITECTURE ; PARAMETERS |
| 资助项目 | National Natural Science Foundation of China (NSFC)[41471295] ; National Natural Science Foundation of China (NSFC)[41531174] ; National Key Research and Development Program of China[2016YFA0600201] |
| WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCIENCE BV |
| WOS记录号 | WOS:000430783800005 |
| 资助机构 | National Natural Science Foundation of China (NSFC) ; National Key Research and Development Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/55093]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Fang, Hongliang |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, LREIS, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Fang, Hongliang,Ye, Yongchang,Liu, Weiwei,et al. Continuous estimation of canopy leaf area index (LAI) and clumping index over broadleaf crop fields: An investigation of the PASTIS-57 instrument and smartphone applications[J]. AGRICULTURAL AND FOREST METEOROLOGY,2018,253:48-61. |
| APA | Fang, Hongliang,Ye, Yongchang,Liu, Weiwei,Wei, Shanshan,&Ma, Li.(2018).Continuous estimation of canopy leaf area index (LAI) and clumping index over broadleaf crop fields: An investigation of the PASTIS-57 instrument and smartphone applications.AGRICULTURAL AND FOREST METEOROLOGY,253,48-61. |
| MLA | Fang, Hongliang,et al."Continuous estimation of canopy leaf area index (LAI) and clumping index over broadleaf crop fields: An investigation of the PASTIS-57 instrument and smartphone applications".AGRICULTURAL AND FOREST METEOROLOGY 253(2018):48-61. |
入库方式： OAI收割
来源：地理科学与资源研究所
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