Evaluating Metal Effects on the Reflectance Spectra of Plant Leaves during Different Seasons in Post-Mining Areas, China
文献类型：期刊论文
| 作者 | Zhou, Chao1,2; Chen, Shengbo1; Zhang, Yuanzhi3; Zhao, Jianhua4; Song, Derui4; Liu, Dawei3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2018-08-01 |
| 卷号 | 10期号:8页码:21 |
| ISSN号 | 2072-4292 |
| 关键词 | foliar metal concentration different seasons spectral vegetation indices continuum removal multivariate regression |
| DOI | 10.3390/rs10081211 |
| 英文摘要 | This study examined the relationship between the leaf reflectance of different seasons and the concentration of heavy metal elements in leaves, such as Co, Cu, Mo, and Ni in a post-mining area. The reflectance spectra and leaf samples of three typical plants were measured and collected in a whole growth cycle (June, July, August, and September). The Red Edge Position (REP), Readjustment Normalized Difference Vegetation Index (RE-NDVI), and Photochemical Reflectance Index (PRI) were extracted and used to explore its relation with the heavy metals concentrations in leaves between different seasons. The results show that all three Vegetation Indices (VIs) were insensitive indicators for monitoring the metal effects of vegetation in different seasons, which showed similar trends. Based on this, the Continuum Removal Indices (CRIs) were proposed from the continuum removed approach and extended for detecting the effects of heavy metal pollution over a full growth cycle. The relationship between the metal concentrations and CRIs of different plants was respectively analyzed by Stepwise Multiple Linear Regression (SMLR) and Partial Least Squares Regression (PLSR). It is found that a significant correlation exists between the band depth and the concentration of Cu and Ni based on the White birch data sets using the PLSR, resulting in a small deviation from the established relationships. Compared with VIs, the approach of coupling CRIs and multiple regressions was effective for improving the estimation accuracy. The presented study provides a detection model of leaf heavy metals that can be adapted to different growing cycles, even an arbitrary growing cycle. |
| WOS关键词 | RED-EDGE POSITION ; LEAST-SQUARES REGRESSION ; BAND-DEPTH ANALYSIS ; HYPERSPECTRAL REFLECTANCE ; NITROGEN CONCENTRATION ; VEGETATION INDEXES ; SUBSTITUTED CHLOROPHYLLS ; ABSORPTION FEATURES ; RIVER FLOODPLAINS ; WATER PLANTS |
| 资助项目 | Key laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration[201810] ; PhD's Research Start-up Project of National Marine Environmental Monitoring Center[2017-A-06] ; National Natural Science Foundation[41372337] ; National Natural Science Foundation[41506106] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000443618100047 |
| 资助机构 | Key laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration ; Key laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration ; PhD's Research Start-up Project of National Marine Environmental Monitoring Center ; PhD's Research Start-up Project of National Marine Environmental Monitoring Center ; National Natural Science Foundation ; National Natural Science Foundation ; Key laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration ; Key laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration ; PhD's Research Start-up Project of National Marine Environmental Monitoring Center ; PhD's Research Start-up Project of National Marine Environmental Monitoring Center ; National Natural Science Foundation ; National Natural Science Foundation ; Key laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration ; Key laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration ; PhD's Research Start-up Project of National Marine Environmental Monitoring Center ; PhD's Research Start-up Project of National Marine Environmental Monitoring Center ; National Natural Science Foundation ; National Natural Science Foundation ; Key laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration ; Key laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration ; PhD's Research Start-up Project of National Marine Environmental Monitoring Center ; PhD's Research Start-up Project of National Marine Environmental Monitoring Center ; National Natural Science Foundation ; National Natural Science Foundation |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/23182]  |
| 专题 | 中国科学院国家天文台 |
| 通讯作者 | Chen, Shengbo; Zhang, Yuanzhi |
| 作者单位 | 1.Jilin Univ, Coll Geoexplorat Sci & Technol, Changchun 130026, Jilin, Peoples R China 2.Natl Marine Environm Monitoring Ctr, Key Lab Ecol Environm Coastal Areas SOA, Dalian 116023, Peoples R China 3.Chinese Acad Sci, Key Lab Lunar Sci & Deep Space Explorat, Natl Astron Observ, Beijing 100101, Peoples R China 4.Natl Marine Environm Monitoring Ctr, Dalian 116023, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Chao,Chen, Shengbo,Zhang, Yuanzhi,et al. Evaluating Metal Effects on the Reflectance Spectra of Plant Leaves during Different Seasons in Post-Mining Areas, China[J]. REMOTE SENSING,2018,10(8):21. |
| APA | Zhou, Chao,Chen, Shengbo,Zhang, Yuanzhi,Zhao, Jianhua,Song, Derui,&Liu, Dawei.(2018).Evaluating Metal Effects on the Reflectance Spectra of Plant Leaves during Different Seasons in Post-Mining Areas, China.REMOTE SENSING,10(8),21. |
| MLA | Zhou, Chao,et al."Evaluating Metal Effects on the Reflectance Spectra of Plant Leaves during Different Seasons in Post-Mining Areas, China".REMOTE SENSING 10.8(2018):21. |
入库方式： OAI收割
来源：国家天文台
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