Airborne LiDAR technique for estimating biomass components of maize: A case study in Zhangye City, Northwest China
文献类型：期刊论文
| 作者 | Li, Wang1; Niu, Zheng1; Huang, Ni1; Wang, Cheng1; Gao, Shuai1; Wu, Chaoyang1 |
| 刊名 | ECOLOGICAL INDICATORS
 |
| 出版日期 | 2015 |
| 卷号 | 57页码:745-751 |
| 关键词 | Airborne LiDAR Maize biomass Leaf area index Canopy height |
| 通讯作者 | Li, W (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, POB 9718,20 Datun Rd,Olympic Sci & Technol Pk CAS, Beijing 100101, Peoples R China. |
| 英文摘要 | Crop biomass is an important ecological indicator of growth, light use efficiency, and carbon stocks in agroecosystems. Light detection and ranging (LiDAR) or laser scanning has been widely used to estimate forest structural parameters and biomass. However, LiDAR is rarely used to estimate crop parameters because the short, dense canopies of crops limit the accuracy of the results. The objective of this study is to explore the potential of airborne LiDAR data in estimating biomass components of maize, namely aboveground biomass (AGB) and belowground biomass (BGB). Five biomass-related factors were measured during the entire growing season of maize. The field-measured canopy height and leaf area index (LAI) were identified as the factors that most directly affect biomass components through Pearson's correlation analysis and structural equation modeling (SEM). Field-based estimation models were proposed to estimate maize biomass components during the tasseling stage. Subsequently, the maize height and LAI over the entire study area were derived from LiDAR data and were used as input for the estimation models to map the spatial pattern of the biomass components. The results showed that the LiDAR-estimated biomass was comparable to the field-measured biomass, with root mean squared errors (RMSE) of 288.51 g/m(2) (AGB), and 75.81 g/m(2) (BGB). In conclusion, airborne LiDAR has great potential for estimating canopy height, LAI, and biomass components of maize during the peak growing season. (C) 2015 Elsevier Ltd. All rights reserved. |
| 研究领域[WOS] | Biodiversity Conservation ; Environmental Sciences |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000358091800053 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38102]  |
| 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.[Li, Wang 2.Niu, Zheng 3.Huang, Ni 4.Gao, Shuai 5.Wu, Chaoyang] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 6.[Li, Wang] Univ Chinese Acad Sci, Beijing 100049, Peoples R China 7.[Wang, Cheng] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Lab Digital Earth Sci, Beijing 100094, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Wang,Niu, Zheng,Huang, Ni,et al. Airborne LiDAR technique for estimating biomass components of maize: A case study in Zhangye City, Northwest China[J]. ECOLOGICAL INDICATORS,2015,57:745-751. |
| APA | Li, Wang,Niu, Zheng,Huang, Ni,Wang, Cheng,Gao, Shuai,&Wu, Chaoyang.(2015).Airborne LiDAR technique for estimating biomass components of maize: A case study in Zhangye City, Northwest China.ECOLOGICAL INDICATORS,57,745-751. |
| MLA | Li, Wang,et al."Airborne LiDAR technique for estimating biomass components of maize: A case study in Zhangye City, Northwest China".ECOLOGICAL INDICATORS 57(2015):745-751. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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