Retrieval of Winter Wheat Leaf Area Index from Chinese GF-1 Satellite Data Using the PROSAIL Model
文献类型：期刊论文
| 作者 | Li, He1; Liu, Gaohuan1 ; Liu, Qingsheng1; Chen, Zhongxin2; Huang, Chong1
|
| 刊名 | SENSORS
 |
| 出版日期 | 2018-04-01 |
| 卷号 | 18期号:4页码:18 |
| 关键词 | leaf area index PROSAIL look-up table GF-1 winter wheat |
| ISSN号 | 1424-8220 |
| DOI | 10.3390/s18041120 |
| 通讯作者 | Huang, Chong(huangch@lreis.ac.cn) |
| 英文摘要 | Leaf area index (LAI) is one of the key biophysical parameters in crop structure. The accurate quantitative estimation of crop LAI is essential to verify crop growth and health. The PROSAIL radiative transfer model (RTM) is one of the most established methods for estimating crop LAI. In this study, a look-up table (LUT) based on the PROSAIL RTM was first used to estimate winter wheat LAI from GF-1 data, which accounted for some available prior knowledge relating to the distribution of winter wheat characteristics. Next, the effects of 15 LAI-LUT strategies with reflectance bands and 10 LAI-LUT strategies with vegetation indexes on the accuracy of the winter wheat LAI retrieval with different phenological stages were evaluated against in situ LAI measurements. The results showed that the LUT strategies of LAI-GNDVI were optimal and had the highest accuracy with a root mean squared error (RMSE) value of 0.34, and a coefficient of determination (R-2) of 0.61 during the elongation stages, and the LUT strategies of LAI-Green were optimal with a RMSE of 0.74, and R-2 of 0.20 during the grain-filling stages. The results demonstrated that the PROSAIL RTM had great potential in winter wheat LAI inversion with GF-1 satellite data and the performance could be improved by selecting the appropriate LUT inversion strategies in different growth periods. |
| WOS关键词 | RADIATIVE-TRANSFER MODEL ; VEGETATION BIOPHYSICAL PARAMETERS ; NEURAL-NETWORK ESTIMATION ; CANOPY REFLECTANCE DATA ; CHLOROPHYLL CONTENT ; SPECTRAL REFLECTANCE ; HYPERSPECTRAL DATA ; GLOBAL PRODUCTS ; LAI ESTIMATION ; MODIS DATA |
| 资助项目 | National Natural Science Foundation of China[41471335] ; National Natural Science Foundation of China[41661144030] ; National Natural Science Foundation of China[61661136006] ; Innovation Project of State Key Laboratory of Resources and Environmental Information System[O88RA303YA] |
| WOS研究方向 | Chemistry ; Electrochemistry ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000435574800192 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China ; Innovation Project of State Key Laboratory of Resources and Environmental Information System |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/54657]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Huang, Chong |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agr Remote Sensing, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, He,Liu, Gaohuan,Liu, Qingsheng,et al. Retrieval of Winter Wheat Leaf Area Index from Chinese GF-1 Satellite Data Using the PROSAIL Model[J]. SENSORS,2018,18(4):18. |
| APA | Li, He,Liu, Gaohuan,Liu, Qingsheng,Chen, Zhongxin,&Huang, Chong.(2018).Retrieval of Winter Wheat Leaf Area Index from Chinese GF-1 Satellite Data Using the PROSAIL Model.SENSORS,18(4),18. |
| MLA | Li, He,et al."Retrieval of Winter Wheat Leaf Area Index from Chinese GF-1 Satellite Data Using the PROSAIL Model".SENSORS 18.4(2018):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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