• 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

草地冠层光谱反射率的渐近性质。

Asymptotic nature of grass canopy spectral reflectance.

作者信息

Tucker C J

出版信息

Appl Opt. 1977 May 1;16(5):1151-6. doi: 10.1364/AO.16.001151.

DOI:10.1364/AO.16.001151
PMID:20168666
Abstract

The asymptotic nature of grass canopy spectral reflectance has been evaluated from field experimental data collected over the wavelength region of 0.500-1.000 microm at 0.005-microm intervals. The spectral reflectance of green vegetation against a soil background decreases in regions of absorption and increases in regions of minimal or no absorption as the vegetational density increases until a stable or unchanging spectral reflectance, called the asymptotic spectral reflectance, is reached. Results indicated spectral reflectance asymptotes occurred at significantly lower levels of total wet biomass, total dry biomass, dry green biomass, chlorophyll content, and leaf water content in regions of strong pigment absorption (low detectability threshold) than in the photographic ir region where absorption was at a minimum (high detectability threshold). These findings suggested that photographic ir sensors were more suited to remote sensing of moderate to high biomass levels or vegetational density in a grass canopy than were sensors operating in regions of the spectrum where strong absorption occurred.

摘要

已根据在0.500 - 1.000微米波长范围内以0.005微米间隔收集的野外实验数据,评估了草冠层光谱反射率的渐近性质。随着植被密度增加,绿色植被相对于土壤背景的光谱反射率在吸收区域降低,在最小吸收或无吸收区域增加,直至达到稳定或不变的光谱反射率,即渐近光谱反射率。结果表明,与吸收最小的摄影红外区域(高检测阈值)相比,在色素强烈吸收区域(低检测阈值),总湿生物量、总干生物量、干绿色生物量、叶绿素含量和叶片含水量显著较低时,光谱反射率渐近线就会出现。这些发现表明,与在光谱强吸收区域工作的传感器相比,摄影红外传感器更适合于遥感草冠层中、高生物量水平或植被密度。

相似文献

1
Asymptotic nature of grass canopy spectral reflectance.草地冠层光谱反射率的渐近性质。
Appl Opt. 1977 May 1;16(5):1151-6. doi: 10.1364/AO.16.001151.
2
[Study on the difference in canopy spectral reflectance and chlorophyll content of spring wheat at jointing stage in different land].不同土地条件下春小麦拔节期冠层光谱反射率与叶绿素含量差异研究
Guang Pu Xue Yu Guang Pu Fen Xi. 2013 Apr;33(4):1043-7.
3
Predicting vegetation water content in wheat using normalized difference water indices derived from ground measurements.利用地面测量得到的归一化差值水指数预测小麦植被含水量。
J Plant Res. 2009 May;122(3):317-26. doi: 10.1007/s10265-009-0215-y. Epub 2009 Feb 26.
4
Remote detection of rhizomania in sugar beets.远程检测甜菜丛根病。
Phytopathology. 2003 Jun;93(6):720-6. doi: 10.1094/PHYTO.2003.93.6.720.
5
Electrooptical remote sensing methods as nondestructive testing and measuring techniques in agriculture.电光遥感方法作为农业中的无损检测和测量技术。
Appl Opt. 1968 Sep 1;7(9):1819-38. doi: 10.1364/AO.7.001819.
6
[Spectral characteristics of corn under different nitrogen treatments].[不同氮处理下玉米的光谱特征]
Guang Pu Xue Yu Guang Pu Fen Xi. 2010 Mar;30(3):715-9.
7
[Monitoring of Cnaphalocrocis medinalis Guenee based on canopy reflectance].基于冠层反射率的稻纵卷叶螟监测
Guang Pu Xue Yu Guang Pu Fen Xi. 2010 Apr;30(4):1080-3.
8
[Impacts of different alkaline soil on canopy spectral characteristics of overlying vegetation].[不同碱性土壤对上覆植被冠层光谱特征的影响]
Guang Pu Xue Yu Guang Pu Fen Xi. 2014 Mar;34(3):782-6.
9
Contribution of chlorophyll fluorescence to the apparent vegetation reflectance.叶绿素荧光对植被表观反射率的贡献。
Sci Total Environ. 2008 Oct 15;404(2-3):433-9. doi: 10.1016/j.scitotenv.2007.11.004. Epub 2007 Dec 31.
10
Simple radiative transfer model for relationships between canopy biomass and reflectance.
Appl Opt. 1982 Jan 15;21(2):303-9. doi: 10.1364/AO.21.000303.

引用本文的文献

1
Estimating high-density aboveground biomass within a complex tropical grassland using Worldview-3 imagery.利用 Worldview-3 影像估算复杂热带草原的高密度地上生物量。
Environ Monit Assess. 2024 Mar 15;196(4):370. doi: 10.1007/s10661-024-12476-7.
2
Prediction of volatility and seasonality vegetation by using the GARCH and Holt-Winters models.利用 GARCH 和 Holt-Winters 模型预测波动性和季节性植被。
Environ Monit Assess. 2024 Feb 21;196(3):288. doi: 10.1007/s10661-024-12437-0.
3
Aerial high-throughput phenotyping of peanut leaf area index and lateral growth.
空中高通量鉴定花生叶面积指数和侧向生长
Sci Rep. 2021 Nov 4;11(1):21661. doi: 10.1038/s41598-021-00936-w.
4
Retrieval of Hyperspectral Information from Multispectral Data for Perennial Ryegrass Biomass Estimation.从多光谱数据中提取高光谱信息以估算多年生黑麦草生物量。
Sensors (Basel). 2020 Dec 15;20(24):7192. doi: 10.3390/s20247192.
5
New spectral vegetation indices based on the near-infrared shoulder wavelengths for remote detection of grassland phytomass.基于近红外肩部波长的新型光谱植被指数用于草地植物量的遥感探测。
Int J Remote Sens. 2012 Apr 10;33(7). doi: 10.1080/01431161.2011.607195.