Canopy reflectance modeling of row aquatic vegetation: AVRM and AVMC

IF 11.1 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES Remote Sensing of Environment Pub Date : 2024-07-05 DOI:10.1016/j.rse.2024.114296
Guanhua Zhou , Chen Tian , Yaxin Han , Chunyue Niu , Haoyu Miao , Guifei Jing , Franz Pablo Antezana Lopez , Guangjian Yan , Hilana Saleh Mahmoud Najjar , Feng Zhao , Shubha Sathyendranath
{"title":"Canopy reflectance modeling of row aquatic vegetation: AVRM and AVMC","authors":"Guanhua Zhou ,&nbsp;Chen Tian ,&nbsp;Yaxin Han ,&nbsp;Chunyue Niu ,&nbsp;Haoyu Miao ,&nbsp;Guifei Jing ,&nbsp;Franz Pablo Antezana Lopez ,&nbsp;Guangjian Yan ,&nbsp;Hilana Saleh Mahmoud Najjar ,&nbsp;Feng Zhao ,&nbsp;Shubha Sathyendranath","doi":"10.1016/j.rse.2024.114296","DOIUrl":null,"url":null,"abstract":"<div><p>Row aquatic vegetation is characterized by distinctive features as inundated habitats and individuals arranged in rows. However, current radiative transfer models have not yet taken into account both the water background and the row structure. To address this problem, we developed a hybrid radiative transfer and geometric optical model (Aquatic Vegetation Row Model, AVRM) for row vegetation and taken rice at early growth stages as a typical example. We verified the model through field experiment and an independently developed Monte Carlo simulation model (Aquatic Vegetation Row Monte Carlo model, AVMC), and found that they could better simulate the canopy reflectance characteristics of rice before canopy closure than existing models: PROSAIL model for uniform terrestrial vegetation, AVRT model for uniform aquatic vegetation, and Kimes model for row terrestrial vegetation, respectively. The effects of row structure, leaf area index, and water background on the bidirectional reflectance spectra of rice canopies were investigated. Our models could be used as virtual laboratory to simulate the reflectance characteristics of rice at early growth stages, which may benefit rice condition monitoring and growth management.</p></div>","PeriodicalId":417,"journal":{"name":"Remote Sensing of Environment","volume":null,"pages":null},"PeriodicalIF":11.1000,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing of Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0034425724003146","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Row aquatic vegetation is characterized by distinctive features as inundated habitats and individuals arranged in rows. However, current radiative transfer models have not yet taken into account both the water background and the row structure. To address this problem, we developed a hybrid radiative transfer and geometric optical model (Aquatic Vegetation Row Model, AVRM) for row vegetation and taken rice at early growth stages as a typical example. We verified the model through field experiment and an independently developed Monte Carlo simulation model (Aquatic Vegetation Row Monte Carlo model, AVMC), and found that they could better simulate the canopy reflectance characteristics of rice before canopy closure than existing models: PROSAIL model for uniform terrestrial vegetation, AVRT model for uniform aquatic vegetation, and Kimes model for row terrestrial vegetation, respectively. The effects of row structure, leaf area index, and water background on the bidirectional reflectance spectra of rice canopies were investigated. Our models could be used as virtual laboratory to simulate the reflectance characteristics of rice at early growth stages, which may benefit rice condition monitoring and growth management.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
行水生植被的冠层反射率建模:AVRM 和 AVMC
行列式水生植被具有淹没生境和成行排列个体的显著特征。然而,目前的辐射传递模型尚未考虑水体背景和行列结构。为解决这一问题,我们以水稻生长初期为典型实例,开发了一种混合辐射传递和几何光学模型(水生植被行模型,AVRM)。我们通过田间试验和独立开发的蒙特卡洛模拟模型(水生植被行蒙特卡洛模型,AVMC)对该模型进行了验证,发现与现有模型相比,它们能更好地模拟水稻冠层闭合前的冠层反射特性:它们分别模拟了均匀陆生植被的 PROSAIL 模型、均匀水生植被的 AVRT 模型和行列陆生植被的 Kimes 模型。研究了行列结构、叶面积指数和水背景对水稻冠层双向反射光谱的影响。我们的模型可作为虚拟实验室来模拟水稻早期生长阶段的反射特性,这可能有利于水稻状况监测和生长管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
期刊最新文献
River ice breakup classification using dual- (HH&HV) or compact-polarization RADARSAT Constellation Mission data Characterizing fire and fire atmospheric states from space using collocated hyperspectral infrared sounding and narrow-band imagery Comparative validation of recent 10 m-resolution global land cover maps Automating the detection of hydrological barriers and fragmentation in wetlands using deep learning and InSAR A machine learning scheme for estimating fine-resolution grassland aboveground biomass over China with Sentinel-1/2 satellite images
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1