中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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

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