Forest leaf area index estimation using combined ICESat/GLAS and optical remote sensing image
文献类型：期刊论文
| 作者 | Luo She-Zhou1; Wang Cheng1; Xi Xiao-Huan1; Nie Sheng1; Xia Shao-Bo1; Wan Yi-Ping1 |
| 刊名 | JOURNAL OF INFRARED AND MILLIMETER WAVES
 |
| 出版日期 | 2015 |
| 卷号 | 34期号:2页码:736-740 |
| 关键词 | LiDAR LAI laser penetrate index echo intensity neural network geoscience laser altimeter system (GLAS) |
| 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 | Based on Gaussian decomposition of the geoscience laser altimeter system( GLAS) waveform, accurate waveform characteristics were extracted, and then laser penetrate index (LPI) was computed for each GLAS waveform. The new method of leaf area index (LAI) estimation using LPI derived from GLAS data was proposed. Forest LAI estimation model based on GLAS data was established( R-2 =0.84, RMSE = 0.64) and the model's reliability was assessed using the Leave-One-Out Cross-Validation (LOOCV) method. The result indicates that the regression model is not overfitting the data and has a good generalization capability. Finally, regional scale forest LAI was estimated using combined GLAS and TM optical remotely sensed image by artificial neural network. And then, the accuracy of the predicted LAIs based on neural network was validated using the other 25 field-measured LAIs. The results show that forest LAI estimation are very close to the field-measured LAIs with a high accuracy (R-2 =0. 76, RMSE =0. 69). Therefore, the estimated LAIs provide accurate input parameters to the study on ecological environment. The study provides new methods and ideas to estimate LAI with large regional scale using GLAS waveform data. |
| 研究领域[WOS] | Optics |
| 收录类别 | SCI ; EI |
| 语种 | 中文 |
| WOS记录号 | WOS:000354596000020 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38234]  |
| 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 She-Zhou 2.Wang Cheng 3.Xi Xiao-Huan 4.Nie Sheng 5.Xia Shao-Bo 6.Wan Yi-Ping] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 7.[Luo She-Zhou] Beijing City Univ, Beijing 100083, Peoples R China |
| 推荐引用方式 GB/T 7714 | Luo She-Zhou,Wang Cheng,Xi Xiao-Huan,et al. Forest leaf area index estimation using combined ICESat/GLAS and optical remote sensing image[J]. JOURNAL OF INFRARED AND MILLIMETER WAVES,2015,34(2):736-740. |
| APA | Luo She-Zhou,Wang Cheng,Xi Xiao-Huan,Nie Sheng,Xia Shao-Bo,&Wan Yi-Ping.(2015).Forest leaf area index estimation using combined ICESat/GLAS and optical remote sensing image.JOURNAL OF INFRARED AND MILLIMETER WAVES,34(2),736-740. |
| MLA | Luo She-Zhou,et al."Forest leaf area index estimation using combined ICESat/GLAS and optical remote sensing image".JOURNAL OF INFRARED AND MILLIMETER WAVES 34.2(2015):736-740. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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