• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

利用高光谱和涡度相关测量推导中国东北玉米冠层的光能利用效率估算算法。

Deriving a light use efficiency estimation algorithm using hyperspectral and eddy covariance measurements for a maize canopy in Northeast China.

作者信息

Zhang Feng, Zhou Guangsheng

机构信息

Chinese Academy of Meteorological Sciences Beijing China.

State Key Laboratory of Vegetation and Environmental Change Institute of Botany Chinese Academy of Sciences Beijing China.

出版信息

Ecol Evol. 2017 May 23;7(13):4735-4744. doi: 10.1002/ece3.3051. eCollection 2017 Jul.

DOI:10.1002/ece3.3051
PMID:28690803
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5496541/
Abstract

We estimated the light use efficiency () via vegetation canopy chlorophyll content () based on measurements of spectral reflectance, biophysical characteristics, ecosystem CO fluxes and micrometeorological factors over a maize canopy in Northeast China. The results showed that among the common chlorophyll-related vegetation indices (VIs), had the most obviously exponential relationships with the red edge position (REP) ( = .97, <.001) and normalized difference vegetation index (NDVI) ( = .91, <.001). In a comparison of the indicating performances of NDVI, ratio vegetation index (RVI), wide dynamic range vegetation index (WDRVI), and 2-band enhanced vegetation index (EVI2) when estimating using all of the possible combinations of two separate wavelengths in the range 400-1300 nm, EVI2 [1214, 1259] and EVI2 [726, 1248] were better indicators, with values of .92 and .90 (<.001). Remotely monitoring through estimating derived from field spectrometry data provided accurate prediction of midday gross primary productivity () in a rainfed maize agro-ecosystem ( = .95, <.001). This study provides a new paradigm for monitoring vegetation based on the combination of models with plant physiological properties.

摘要

我们基于对中国东北地区玉米冠层的光谱反射率、生物物理特征、生态系统二氧化碳通量和微气象因子的测量，通过植被冠层叶绿素含量估算了光能利用效率（ ）。结果表明，在常见的与叶绿素相关的植被指数（VIs）中， 与红边位置（REP）（ = 0.97， < 0.001）和归一化植被指数（NDVI）（ = 0.91， < 0.001）具有最明显的指数关系。在比较利用400 - 1300 nm范围内两个不同波长的所有可能组合估算 时，归一化植被指数（NDVI）、比值植被指数（RVI）、宽动态范围植被指数（WDRVI）和双波段增强植被指数（EVI2）的指示性能，EVI2 [1214, 1259]和EVI2 [726, 1248]是更好的指标， 值分别为0.92和0.90（ < 0.001）。通过估算源自野外光谱数据的 来远程监测 ，能准确预测雨养玉米农业生态系统中的中午总初级生产力（ ）（ = 0.95， < 0.001）。本研究提供了一种基于 模型与植物生理特性相结合来监测植被 的新范式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f09/5496541/bed22392bc76/ECE3-7-4735-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f09/5496541/8109d7e6f3f5/ECE3-7-4735-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f09/5496541/a5c48281c894/ECE3-7-4735-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f09/5496541/94ede0c79d2f/ECE3-7-4735-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f09/5496541/ccaccea9746e/ECE3-7-4735-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f09/5496541/bed22392bc76/ECE3-7-4735-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f09/5496541/8109d7e6f3f5/ECE3-7-4735-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f09/5496541/a5c48281c894/ECE3-7-4735-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f09/5496541/94ede0c79d2f/ECE3-7-4735-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f09/5496541/ccaccea9746e/ECE3-7-4735-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f09/5496541/bed22392bc76/ECE3-7-4735-g005.jpg

相似文献

1
Deriving a light use efficiency estimation algorithm using hyperspectral and eddy covariance measurements for a maize canopy in Northeast China.利用高光谱和涡度相关测量推导中国东北玉米冠层的光能利用效率估算算法。
Ecol Evol. 2017 May 23;7(13):4735-4744. doi: 10.1002/ece3.3051. eCollection 2017 Jul.
2
Scaling photosynthetic function and CO dynamics from leaf to canopy level for maize - dataset combining diurnal and seasonal measurements of vegetation fluorescence, reflectance and vegetation indices with canopy gross ecosystem productivity.将玉米从叶片到冠层水平的光合功能和二氧化碳动态进行尺度转换——该数据集结合了植被荧光、反射率和植被指数的昼夜和季节测量以及冠层总生态系统生产力。
Data Brief. 2021 Nov 20;39:107600. doi: 10.1016/j.dib.2021.107600. eCollection 2021 Dec.
3
[An Analysis of the Spectrums between Different Canopy Structures Based on Hyperion Hyperspectral Data in a Temperate Forest of Northeast China].基于东北温带森林Hyperion高光谱数据的不同冠层结构光谱分析
Guang Pu Xue Yu Guang Pu Fen Xi. 2015 Jul;35(7):1980-5.
4
Productivity, absorbed photosynthetically active radiation, and light use efficiency in crops: implications for remote sensing of crop primary production.作物的生产力、光合有效辐射吸收量及光能利用效率：对作物初级生产遥感的启示
J Plant Physiol. 2015 Apr 1;177:100-109. doi: 10.1016/j.jplph.2014.12.015. Epub 2015 Feb 4.
5
Retrieving the Diurnal FPAR of a Maize Canopy from the Jointing Stage to the Tasseling Stage with Vegetation Indices under Different Water Stresses and Light Conditions.在不同水分和光照条件下，利用植被指数反演玉米从拔节期到抽雄期的日 FPAR。
Sensors (Basel). 2018 Nov 15;18(11):3965. doi: 10.3390/s18113965.
6
Evaluating gross primary productivity over 9 ChinaFlux sites based on random forest regression models, remote sensing, and eddy covariance data.基于随机森林回归模型、遥感和涡度协方差数据评估中国通量网9个站点的总初级生产力。
Sci Total Environ. 2023 Jun 1;875:162601. doi: 10.1016/j.scitotenv.2023.162601. Epub 2023 Mar 5.
7
Combining remote sensing and eddy covariance data to monitor the gross primary production of an estuarine wetland ecosystem in East China.结合遥感和涡度相关数据监测华东河口湿地生态系统的总初级生产力。
Environ Sci Process Impacts. 2015 Apr;17(4):753-62. doi: 10.1039/c5em00061k.
8
[Research on maize multispectral image accurate segmentation and chlorophyll index estimation].[玉米多光谱图像精准分割与叶绿素指数估计研究]
Guang Pu Xue Yu Guang Pu Fen Xi. 2015 Jan;35(1):178-83.
9
Estimation of vegetation water content using hyperspectral vegetation indices: a comparison of crop water indicators in response to water stress treatments for summer maize.利用高光谱植被指数估算植被含水量：夏季玉米水分胁迫处理下作物水分指标的比较。
BMC Ecol. 2019 Apr 29;19(1):18. doi: 10.1186/s12898-019-0233-0.
10
Testing of Automated Photochemical Reflectance Index Sensors as Proxy Measurements of Light Use Efficiency in an Aspen Forest.基于自动化光化学反射指数传感器对人工林光能利用率的监测研究
Sensors (Basel). 2018 Oct 1;18(10):3302. doi: 10.3390/s18103302.

引用本文的文献

1
Combining the fractional order derivative and machine learning for leaf water content estimation of spring wheat using hyper-spectral indices.结合分数阶导数与机器学习利用高光谱指数估算春小麦叶片含水量
Plant Methods. 2024 Jun 22;20(1):97. doi: 10.1186/s13007-024-01224-0.
2
Real-Time Assessment of Mandarin Crop Water Stress Index.实时评估普通话作物水分胁迫指数。
Sensors (Basel). 2022 May 26;22(11):4018. doi: 10.3390/s22114018.
3
Rapid Estimation of Crop Water Stress Index on Tomato Growth.快速估算番茄生长的作物水分胁迫指数。

本文引用的文献

1
The photochemical reflectance index: an optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels.光化学反射指数：跨物种、功能类型和养分水平的光合辐射利用效率的光学指标。
Oecologia. 1997 Nov;112(4):492-501. doi: 10.1007/s004420050337.
2
Leaf chlorophyll content as a proxy for leaf photosynthetic capacity.叶片叶绿素含量可作为叶片光合能力的替代指标。
Glob Chang Biol. 2017 Sep;23(9):3513-3524. doi: 10.1111/gcb.13599. Epub 2017 Jan 21.
3
Calibration of the Minolta SPAD-502 leaf chlorophyll meter.
Sensors (Basel). 2021 Jul 29;21(15):5142. doi: 10.3390/s21155142.
4
Estimation of vegetation water content using hyperspectral vegetation indices: a comparison of crop water indicators in response to water stress treatments for summer maize.利用高光谱植被指数估算植被含水量：夏季玉米水分胁迫处理下作物水分指标的比较。
BMC Ecol. 2019 Apr 29;19(1):18. doi: 10.1186/s12898-019-0233-0.
SPAD-502 型 Minolta 叶叶绿素计的校准。
Photosynth Res. 1995 Jan;46(3):467-72. doi: 10.1007/BF00032301.
4
Wide Dynamic Range Vegetation Index for remote quantification of biophysical characteristics of vegetation.用于植被生物物理特征遥感定量的宽动态范围植被指数。
J Plant Physiol. 2004 Feb;161(2):165-73. doi: 10.1078/0176-1617-01176.