Estimation of wetland vegetation height and leaf area index using airborne laser scanning data | |
Luo, Shezhou1; Wang, Cheng1; Pan, Feifei1; Xi, Xiaohuan1; Li, Guicai1; Nie, Sheng1; Xia, Shaobo1 | |
刊名 | ECOLOGICAL INDICATORS
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2015 | |
卷号 | 48页码:6085-6100 |
关键词 | LiDAR Wetland vegetation Leaf area index Vegetation height Laser penetration index Canopy height model |
通讯作者 | Wang, C (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China. |
英文摘要 | Wetland vegetation is a core component of wetland ecosystems. Wetland vegetation structural parameters, such as height and leaf area index (LAI) are important variables required by earth-system and ecosystem models. Therefore, rapid, accurate, objective and quantitative estimations of wetland vegetation structural parameters are essential. The airborne laser scanning (also called LiDAR) is an active remote sensing technology and can provide accurate vertical vegetation structural parameters, but its accuracy is limited by short, dense vegetation canopies that are typical of wetland environments. The objective of this research is to explore the potential of estimating height and LAI for short wetland vegetation using airborne discrete-return LiDAR data. The accuracies of raw laser points and LiDAR-derived digital elevation models (DEM) data were assessed using field GPS measured ground elevations. The results demonstrated very high accuracy of 0.09 m in raw laser points and the root mean squared error (RMSE) of the LiDAR-derived DEM was 0.15 m. Vegetation canopy height was estimated from LiDAR data using a canopy height model (CHM) and regression analysis between field-measured vegetation heights and the standard deviation (sigma) of detrended LiDAR heights. The results showed that the actual height of short wetland vegetation could not be accurately estimated using the raster CHM vegetation height. However, a strong relationship was observed between the sigma and the field-measured height of short wetland vegetation and the highest correlation occurred (R-2 = 0.85, RMSE = 0.14 m) when sample radius was 1.50 m. The accuracy assessment of the best-constructed vegetation height prediction model was conducted using 25 samples that were not used in the regression analysis and the results indicated that the model was reliable and accurate (R-2 = 0.84, RMSE = 0.14 m). Wetland vegetation LAI was estimated using laser penetration index (LPI) and LiDAR-predicted vegetation height. The results showed that the vegetation height-based predictive model (R-2 = 0.79) was more accurate than the LPI-based model (the highest R-2 was 0.70). Moreover, the LAI predictive model based on vegetation height was validated using the leave-one-out cross-validation method and the results showed that the LAI predictive model had a good generalization capability. Overall, the results from this study indicate that LiDAR has a great potential to estimate plant height and LAI for short wetland vegetation. (C) 2014 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:000347495100059 |
内容类型 | 期刊论文 |
源URL | [http://ir.ceode.ac.cn/handle/183411/38338] ![]() |
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.[Luo, Shezhou 2.Wang, Cheng 3.Xi, Xiaohuan 4.Nie, Sheng 5.Xia, Shaobo] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 6.[Luo, Shezhou] Beijing City Univ, Beijing 100083, Peoples R China 7.[Pan, Feifei] Univ N Texas, Dept Geog, Denton, TX 76203 USA 8.[Li, Guicai] China Meteorol Adm, Natl Satellite Meteorol Ctr, Beijing 100081, Peoples R China |
推荐引用方式 GB/T 7714 | Luo, Shezhou,Wang, Cheng,Pan, Feifei,et al. Estimation of wetland vegetation height and leaf area index using airborne laser scanning data[J]. ECOLOGICAL INDICATORS,2015,48:6085-6100. |
APA | Luo, Shezhou.,Wang, Cheng.,Pan, Feifei.,Xi, Xiaohuan.,Li, Guicai.,...&Xia, Shaobo.(2015).Estimation of wetland vegetation height and leaf area index using airborne laser scanning data.ECOLOGICAL INDICATORS,48,6085-6100. |
MLA | Luo, Shezhou,et al."Estimation of wetland vegetation height and leaf area index using airborne laser scanning data".ECOLOGICAL INDICATORS 48(2015):6085-6100. |
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