Temperature dependence of L-band vegetation optical depth over the boreal forest from 2011 to 2022

IF 11.1 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES Remote Sensing of Environment Pub Date : 2024-10-23 DOI:10.1016/j.rse.2024.114470
Mike Schwank , Yiwen Zhou , Arnaud Mialon , Philippe Richaume , Yann Kerr , Christian Mätzler
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It demonstrated the Electromagnetic (EM) reasons for <span><math><mi>τ</mi><mfenced><msub><mi>T</mi><mi>V</mi></msub></mfenced></math></span> reaching maximum at 0°C and decreasing when <span><math><msub><mi>T</mi><mi>V</mi></msub></math></span> is moving away from 0°C. The parameterisation of the \"L-VOD model\" developed in the previous study is simplified and updated to take into account the conservation of salt in sap-water during freezing. The “forward operator” based on the Two-Stream Microwave Emission Model (2S-MEM) is inverted to retrieve <span><math><msub><mi>τ</mi><mi>SMOS</mi></msub><mfenced><msub><mi>T</mi><mi>V</mi></msub></mfenced></math></span> together with effective Ground permittivities <span><math><msub><mi>ε</mi><mi>G</mi></msub></math></span> during seasonal Warming Periods (WPs) determined from ERA-interim air temperatures. The “L-VOD model” parameters <span><math><mfenced><msub><mi>T</mi><mi>melt</mi></msub><msub><mi>WC</mi><mi>wood</mi></msub></mfenced></math></span> are estimated for the boreal forest grid cells by minimizing squared differences between <span><math><msub><mi>τ</mi><mi>SMOS</mi></msub><mfenced><msub><mi>T</mi><mi>V</mi></msub></mfenced></math></span> and simulated <span><math><msub><mi>τ</mi><mi>sim</mi></msub><mfenced><msub><mi>T</mi><mi>V</mi></msub></mfenced></math></span>. The vegetation melt-parameter <span><math><msub><mi>T</mi><mi>melt</mi></msub></math></span> represents the “number of degrees below 0°C” at which sap-water melts, and <span><math><msub><mi>WC</mi><mi>wood</mi></msub></math></span> is the gravimetric wood-Water Content of branches. Reasonable values of <span><math><mfenced><msub><mi>T</mi><mi>melt</mi></msub><msub><mi>WC</mi><mi>wood</mi></msub></mfenced></math></span> are achieved for a majority of the boreal forest grid cells. It is found that <span><math><msub><mi>T</mi><mi>melt</mi></msub></math></span> tends to be too high over Northern Europe, a region with longer WP durations compared to other regions of the boreal forest belt. By optimising the scattering albedo used to retrieve <span><math><msub><mi>τ</mi><mi>SMOS</mi></msub><mfenced><msub><mi>T</mi><mi>V</mi></msub></mfenced></math></span>, the correlations between <span><math><msub><mi>τ</mi><mi>sim</mi></msub><mfenced><msub><mi>T</mi><mi>V</mi></msub></mfenced></math></span> and <span><math><msub><mi>τ</mi><mi>SMOS</mi></msub><mfenced><msub><mi>T</mi><mi>V</mi></msub></mfenced></math></span> can be increased, thereby improving the reliability of <span><math><mfenced><msub><mi>T</mi><mi>melt</mi></msub><msub><mi>WC</mi><mi>wood</mi></msub></mfenced></math></span>. The results raise the possibility of an alternative method to parameterise the scattering albedo of boreal forests by means of the reality-based nature of <span><math><msub><mi>τ</mi><mi>SMOS</mi></msub><mfenced><msub><mi>T</mi><mi>V</mi></msub></mfenced></math></span> associated with the consistency of <span><math><msub><mi>T</mi><mi>melt</mi></msub></math></span> with expected values. The study also shows that estimating the Above-Ground Biomass (AGB) of boreal forests using L-VOD must take into account the reduction in L-VOD due to the EM-reasons resulting from freezing sap-water in wooden branches, which dominate the radiative transfer at L-band.</div></div>","PeriodicalId":417,"journal":{"name":"Remote Sensing of Environment","volume":"315 ","pages":"Article 114470"},"PeriodicalIF":11.1000,"publicationDate":"2024-10-23","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/S0034425724004966","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}
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Abstract

The dependence of L-band Vegetation Optical Depth (L-VOD, τ) on Vegetation temperature TV is investigated for 1165 boreal forest grid cells selected for latitudes > 55° and high radiometric forest fraction FFO90%. SMOS Level-3 Brightness Temperatures (BT) at ascending orbits acquired from 2011 to 2022 are used. This is a spatio-temporal extension of our previous study on τTV made over the “Sodankylä grid cell” (Finland) in 2019. It demonstrated the Electromagnetic (EM) reasons for τTV reaching maximum at 0°C and decreasing when TV is moving away from 0°C. The parameterisation of the "L-VOD model" developed in the previous study is simplified and updated to take into account the conservation of salt in sap-water during freezing. The “forward operator” based on the Two-Stream Microwave Emission Model (2S-MEM) is inverted to retrieve τSMOSTV together with effective Ground permittivities εG during seasonal Warming Periods (WPs) determined from ERA-interim air temperatures. The “L-VOD model” parameters TmeltWCwood are estimated for the boreal forest grid cells by minimizing squared differences between τSMOSTV and simulated τsimTV. The vegetation melt-parameter Tmelt represents the “number of degrees below 0°C” at which sap-water melts, and WCwood is the gravimetric wood-Water Content of branches. Reasonable values of TmeltWCwood are achieved for a majority of the boreal forest grid cells. It is found that Tmelt tends to be too high over Northern Europe, a region with longer WP durations compared to other regions of the boreal forest belt. By optimising the scattering albedo used to retrieve τSMOSTV, the correlations between τsimTV and τSMOSTV can be increased, thereby improving the reliability of TmeltWCwood. The results raise the possibility of an alternative method to parameterise the scattering albedo of boreal forests by means of the reality-based nature of τSMOSTV associated with the consistency of Tmelt with expected values. The study also shows that estimating the Above-Ground Biomass (AGB) of boreal forests using L-VOD must take into account the reduction in L-VOD due to the EM-reasons resulting from freezing sap-water in wooden branches, which dominate the radiative transfer at L-band.
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2011 年至 2022 年北方森林 L 波段植被光学深度的温度依赖性
在纬度 > 55° 和高辐射森林分数 FFO≥90%FFO≥90% 的 1165 个北方森林网格单元中,研究了 L 波段植被光学深度(L-VOD,ττ)与植被温度 TVTV 的关系。使用的是 2011 年至 2022 年期间获取的上升轨道上的 SMOS Level-3 亮度温度 (BT)。这是我们之前于 2019 年在 "索丹屈莱网格单元"(芬兰)上进行的τTVτTV 研究的时空延伸。它证明了τTVτTV在0°C时达到最大值,而当TVTV远离0°C时则逐渐减小的电磁(EM)原因。对之前研究中开发的 "L-VOD 模型 "的参数化进行了简化和更新,以考虑到冰冻过程中树液水中盐分的保存。对基于双流微波发射模式(2S-MEM)的 "前向算子 "进行反演,以检索τSMOSTVτSMOSTV 和根据ERA-临时气温确定的季节性变暖期(WPs)的有效地面容积εGεG。北方森林网格单元的 "L-VOD 模型 "参数 TmeltWCwoodTmeltWCwood 是通过最小化 τSMOSTVτSMOSTV 与模拟 τsimTVτsimTV 之间的平方差来估算的。植被融化参数 TmeltTmelt 表示树液水融化的 "0℃以下度数",WCwoodWCwood 是树枝的重量木材含水量。大部分北方森林网格单元的 TmeltWCwoodTmeltWCwood 都达到了合理值。研究发现,北欧地区的 TmeltTmelt 值往往过高,与北方森林带的其他地区相比,该地区的可湿性粉末持续时间较长。通过优化用于检索 τSMOSTVτSMOSTV 的散射反照率,可以提高 τsimTVτsimTV 与 τSMOSTVτSMOSTV 之间的相关性,从而提高 TmeltWCwoodTmeltWCwood 的可靠性。研究结果为北方森林散射反照率的参数化提供了另一种方法的可能性,这种方法是通过与 TmeltTmelt 与预期值的一致性相关联的 τSMOSTVτSMOSTV 的现实性来实现的。研究还表明,使用 L-VOD 估算北方森林的地面生物量 (AGB),必须考虑到木质树枝中的树液水结冰导致的电磁原因造成的 L-VOD 降低,这在 L 波段的辐射传输中占主导地位。
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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.
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