Estimating leaf area index of maize using airborne full-waveform lidar data
文献类型:期刊论文
作者 | Nie, Sheng1; Wang, Cheng1; Dong, Pinliang1; Xi, Xiaohuan1 |
刊名 | Remote Sensing Letters
![]() |
出版日期 | 2016 |
卷号 | 7期号:2页码:111-120 |
关键词 | DISTRIBUTED DATA CENTERS BIG DATA CLOUDS SYSTEM EARTH |
通讯作者 | Wang, Cheng (wangcheng@radi.ac.cn) |
英文摘要 | The leaf area index (LAI) is a key input parameter in ecosystem models and plays a vital role in gas-vegetation exchange processes. Several studies have recently been conducted to estimate the LAI of low-stature vegetation using airborne discrete-return light detection and ranging (lidar) data. However, few studies have been carried out to estimate the LAI of low-stature vegetation using airborne full-waveform lidar data. The objective of this research is to explore the potential of airborne full-waveform lidar for LAI estimation of maize. First, waveform processing was conducted for better extraction of waveform-derived metrics for LAI estimation. A method of faint returns retrieval was also proposed to obtain ground returns. Second, the LAIs of maize were estimated based on the Beer-Lambert law. Finally, the LAI estimates were validated using field-measured LAIs in Huailai, Hebei Province of China. Results indicated that maize LAI could be successfully retrieved with high accuracy (R2= 0.724, RMSE = 0.449) using full-waveform lidar data by the method proposed in this study. © 2015 Taylor & Francis. |
学科主题 | Remote Sensing; Imaging Science & Photographic Technology |
类目[WOS] | Remote Sensing ; Imaging Science & Photographic Technology |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:20155101693184 |
源URL | [http://ir.radi.ac.cn/handle/183411/39340] ![]() |
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. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 2. University of Chinese Academy of Sciences, Beijing, China 3. Department of Geography, University of North Texas, Denton 4.TX, United States |
推荐引用方式 GB/T 7714 | Nie, Sheng,Wang, Cheng,Dong, Pinliang,et al. Estimating leaf area index of maize using airborne full-waveform lidar data[J]. Remote Sensing Letters,2016,7(2):111-120. |
APA | Nie, Sheng,Wang, Cheng,Dong, Pinliang,&Xi, Xiaohuan.(2016).Estimating leaf area index of maize using airborne full-waveform lidar data.Remote Sensing Letters,7(2),111-120. |
MLA | Nie, Sheng,et al."Estimating leaf area index of maize using airborne full-waveform lidar data".Remote Sensing Letters 7.2(2016):111-120. |
入库方式: OAI收割
来源:遥感与数字地球研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。