Comparison of leaf area index inversion for grassland vegetation through remotely sensed spectra by unmanned aerial vehicle and field-based spectroradiometer
文献类型：期刊论文
| 作者 | Sha, Zongyao3; Wang, Yuwei; Bai, Yongfei4 ; Zhao, Yujin4; Jin, Hua5; Na, Ya1; Meng, Xiaoliang
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| 刊名 | JOURNAL OF PLANT ECOLOGY
 |
| 出版日期 | 2019 |
| 卷号 | 12期号:3页码:395-408 |
| 关键词 | grassland leaf area index unmanned aerial vehicle vegetation index remote sensing |
| ISSN号 | 1752-9921 |
| DOI | 10.1093/jpe/rty036 |
| 文献子类 | Article |
| 英文摘要 | Remote sensing technology has been proved useful in mapping grassland vegetation properties. Spectral features of vegetation cover can be recorded by optical sensors on board of different platforms. With increasing popularity of applying unmanned aerial vehicle (UAV) to mapping plant cover, the study aims to investigate the possible applications and potential issues related to mapping leaf area index (LAI) through integration of remote sensing imagery collected by multiple sensors. This paper applied the collected spectral data through field-based (FLD) and UAV-borne spectroradiometer to map LAI in a SinoGerman experiment pasture located in the Xilingol grassland, Inner Mongolia, China. Spectroradiometers on FLD and UAV platforms were taken to measure spectral reflectance related to the targeted vegetation properties. Based on eight vegetation indices (VIs) computed from the collected hyperspectral data, regression models were used to inverse LAI. The spectral responses between FLD and UAV platforms were compared, and the regression models relating LAI with VIs from FLD and UAV were established. The modeled LAIs by UAV and FLD platforms were analyzed in order to evaluate the feasibility of potential integration of spectra data for mapping vegetation from the two platforms. Results indicated that the spectral reflectance between FLD and UAV showed critical gaps in the green and near-infrared regions of the spectrum over densely vegetated areas, while the gaps were small over sparsely vegetated areas. The VI values from FLD spectra were greater than their UAV-based counterparts. Out of all the VIs, broadband generalized soil-adjusted vegetation index (GESAVI) and narrow-band nNDVI2 were found to achieve the best results in terms of the accuracy of the inversed LAIs for both FLD and UAV platforms. We conclude that GESAVI and nNDVI2 are the two promising VIs for both platforms and thus preferred for LAI inversion to carry spectra integration of the two platforms. We suggest that accuracy on the LAI inversion could be improved by applying more advanced functions (e.g. non-linear) considering the observed bias for the difference between the UAV- and FLD-inversed LAIs, especially when LAI was low. |
| 学科主题 | Plant Sciences ; Ecology ; Forestry |
| 出版地 | OXFORD |
| 电子版国际标准刊号 | 1752-993X |
| WOS关键词 | INNER-MONGOLIA ; SENSORS ; IMAGERY ; UAV ; REFLECTANCE ; IMPACTS ; PRODUCTIVITY ; SATELLITE ; QUALITY ; BIOMASS |
| WOS研究方向 | Plant Sciences ; Environmental Sciences & Ecology ; Forestry |
| 语种 | 英语 |
| WOS记录号 | WOS:000469786800001 |
| 出版者 | OXFORD UNIV PRESS |
| 资助机构 | National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41871296, 41371371, 41501441] ; Open Fund of Key Laboratory of Geographic Information Science, Ministry of Education), East China Normal University [KLGIS2017A05] ; Hubei Provincial Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [ZRMS2017000737] ; Large Scale Environment Remote Sensing Platform Project from Wuhan University [16000009, 16000011, 16000012] |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/19790]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Inner Mongolia Inst Grassland Surveying & Plannin, Hohhot 010051, Peoples R China 2.Inner Mongolia Agr Univ, Coll Grassland Resources & Environm, Key Lab Forage Cultivat, Hohhot 010018, Peoples R China 3.Wuhan Univ, Sch Remote Sensing & Informat Engn, Dept Spatial Informat & Digital Engn, Wuhan 430079, Hubei, Peoples R China 4.State Bur Surveying & Mapping, Res Ctr Spatial Informat & Digital Engn, Wuhan 430079, Hubei, Peoples R China 5.Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sha, Zongyao,Wang, Yuwei,Bai, Yongfei,et al. Comparison of leaf area index inversion for grassland vegetation through remotely sensed spectra by unmanned aerial vehicle and field-based spectroradiometer[J]. JOURNAL OF PLANT ECOLOGY,2019,12(3):395-408. |
| APA | Sha, Zongyao.,Wang, Yuwei.,Bai, Yongfei.,Zhao, Yujin.,Jin, Hua.,...&Meng, Xiaoliang.(2019).Comparison of leaf area index inversion for grassland vegetation through remotely sensed spectra by unmanned aerial vehicle and field-based spectroradiometer.JOURNAL OF PLANT ECOLOGY,12(3),395-408. |
| MLA | Sha, Zongyao,et al."Comparison of leaf area index inversion for grassland vegetation through remotely sensed spectra by unmanned aerial vehicle and field-based spectroradiometer".JOURNAL OF PLANT ECOLOGY 12.3(2019):395-408. |
入库方式： OAI收割
来源：植物研究所
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