A model based on spectral invariant theory for correcting topographic effects on vegetation canopy reflectance

IF 11.1 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES Remote Sensing of Environment Pub Date : 2025-03-13 DOI:10.1016/j.rse.2025.114695
Weihua Li , Guangjian Yan , Jun Geng , Yuhan Guo , Tian Xie , Xihan Mu , Donghui Xie , Jean-Louis Roujean , Guoqing Zhou , Jean-Philippe Gastellu-Etchegorry
{"title":"A model based on spectral invariant theory for correcting topographic effects on vegetation canopy reflectance","authors":"Weihua Li ,&nbsp;Guangjian Yan ,&nbsp;Jun Geng ,&nbsp;Yuhan Guo ,&nbsp;Tian Xie ,&nbsp;Xihan Mu ,&nbsp;Donghui Xie ,&nbsp;Jean-Louis Roujean ,&nbsp;Guoqing Zhou ,&nbsp;Jean-Philippe Gastellu-Etchegorry","doi":"10.1016/j.rse.2025.114695","DOIUrl":null,"url":null,"abstract":"<div><div>Topography alters both the incident radiation and radiative transfer (RT) processes within the canopy, leading to changes in the canopy bidirectional reflectance factor (BRF). Most traditional semi-physical terrain correction (TC) methods for vegetation canopy BRFs rely on simplifying physically-based analytical RT models. However, these analytical RT models are not comprehensively parameterized for all RT computations, leading to the neglect of crucial processes, such as multiple scattering processes during the derivation of semi-physical TC methods. The spectral invariants theory (<em>p</em>-theory) offers an efficient approach to model canopy BRFs by simplifying RT computations. We extended <em>p</em>-theory to sloping terrain, considering the variation of the terrain-induced incident radiation and RT processes, and developed a canopy BRF TC model, termed the <em>p</em>-C method. The <em>p</em>-C method applies not only to spectral bands with lower multiple scattering within the canopy (e.g., visible bands) but also to near-infrared (NIR) bands, where multiple scattering effects may be more pronounced than in the visible bands within the canopy. We used the three-dimensional RT model DART (Discrete Anisotropic Radiative Transfer) to simulate BRFs of homogeneous, realistic canopies of the RAMI (RAdiation transfer Model Intercomparison) experiment, and BRF images with real DEM (Digital Elevation Model) to evaluate the <em>p</em>-C method and to compare it with traditional empirical and semi-physical TC methods (CC, SCS, SCS+C, DS, PLC-S, and SE). The <em>p</em>-C method reduced the RMSE (root mean square error) by 67 %, 64 %, 64 %, 85 %, 83 %, and 54 % respectively over these methods. Furthermore, when applied to Landsat 8 OLI remote sensing BRF images, the <em>p</em>-C method effectively eliminated terrain texture, as confirmed by visual interpretation and the linear regression between the corrected BRF images and the local solar incidence angle. Currently, the <em>p</em>-C method only considers illuminated slopes, and corrections for shaded slopes need to be studied in the future.</div></div>","PeriodicalId":417,"journal":{"name":"Remote Sensing of Environment","volume":"322 ","pages":"Article 114695"},"PeriodicalIF":11.1000,"publicationDate":"2025-03-13","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/S0034425725000999","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

Topography alters both the incident radiation and radiative transfer (RT) processes within the canopy, leading to changes in the canopy bidirectional reflectance factor (BRF). Most traditional semi-physical terrain correction (TC) methods for vegetation canopy BRFs rely on simplifying physically-based analytical RT models. However, these analytical RT models are not comprehensively parameterized for all RT computations, leading to the neglect of crucial processes, such as multiple scattering processes during the derivation of semi-physical TC methods. The spectral invariants theory (p-theory) offers an efficient approach to model canopy BRFs by simplifying RT computations. We extended p-theory to sloping terrain, considering the variation of the terrain-induced incident radiation and RT processes, and developed a canopy BRF TC model, termed the p-C method. The p-C method applies not only to spectral bands with lower multiple scattering within the canopy (e.g., visible bands) but also to near-infrared (NIR) bands, where multiple scattering effects may be more pronounced than in the visible bands within the canopy. We used the three-dimensional RT model DART (Discrete Anisotropic Radiative Transfer) to simulate BRFs of homogeneous, realistic canopies of the RAMI (RAdiation transfer Model Intercomparison) experiment, and BRF images with real DEM (Digital Elevation Model) to evaluate the p-C method and to compare it with traditional empirical and semi-physical TC methods (CC, SCS, SCS+C, DS, PLC-S, and SE). The p-C method reduced the RMSE (root mean square error) by 67 %, 64 %, 64 %, 85 %, 83 %, and 54 % respectively over these methods. Furthermore, when applied to Landsat 8 OLI remote sensing BRF images, the p-C method effectively eliminated terrain texture, as confirmed by visual interpretation and the linear regression between the corrected BRF images and the local solar incidence angle. Currently, the p-C method only considers illuminated slopes, and corrections for shaded slopes need to be studied in the future.
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
求助全文
约1分钟内获得全文 去求助
相关文献
Endoscopic Appendiceal Orifice Myotomy to Remove an Impacted Appendiceal Fecalith
IF 12.6 1区 医学Clinical Gastroenterology and HepatologyPub Date : 2023-07-17 DOI: 10.1016/j.cgh.2023.06.030
Lijuan Mao, Xiaoyun Lu, Qide Zhang
Successful appendiceal incision by endoscopic submucosal dissection to allow endoscopic removal of an encapsulated fecalith.
IF 11.5 1区 医学EndoscopyPub Date : 2023-12-01 DOI: 10.1055/a-2191-2475
Qingyu Zeng, Zhang Tao, Jie Liu, Kong Tao, Xu Shan, Ya Lan Chen
Correction: Successful appendiceal incision by endoscopic submucosal dissection to allow endoscopic removal of an encapsulated fecalith.
IF 11.5 1区 医学EndoscopyPub Date : 2023-12-01 DOI: 10.1055/a-2464-6402
Qingyu Zeng, Zhang Tao, Jie Liu, Kong Tao, Xu Shan, Ya Lan Chen
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
Corrigendum to “Non-linear spectral unmixing for monitoring rapidly salinizing coastal landscapes” [Remote Sensing of Environment Volume 319, 15 March 2025, 114642] Urban thermal anisotropies by local climate zones: An assessment using multi-angle land surface temperatures from ECOSTRESS Unveiling soil salinity patterns in soda saline-alkali regions using Sentinel-2 and SDGSAT-1 thermal infrared data A model based on spectral invariant theory for correcting topographic effects on vegetation canopy reflectance Characterizing leaf-scale fluorescence with spectral invariants
×
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