Temporal and Spatial Patterns of XCO2 and SIF as Observed by OCO-2: A Case Study in the Midwest Region of Brazil

IF 2.2 4区地球科学 Q3 ENVIRONMENTAL SCIENCES

Journal of the Indian Society of Remote Sensing Pub Date : 2024-08-31 DOI:10.1007/s12524-024-01995-y

Gustavo André de Araújo Santos, Felipe Facco Silva, Thiago De Andrade Águas, Kamila Cunha de Meneses, Luis Miguel da Costa, Carlos Antonio da Silva Junior, Glauco de Souza Rolim, Newton La Scala

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Abstract

This study aims to examine the seasonal spatial variability of column-averaged of dry air mole fraction of CO₂ (X_CO2) and Solar induced chlorophyll fluorescence (SIF) in the state of Mato Grosso in the Midwest region of Brazil, employing ordinary kriging (OK) as the spatial interpolation method. The X_CO2 and SIF remote sensing data were collected on the Orbiting Carbon Observatory-2 (OCO-2) platform. Descriptive statistical analysis also incorporated spatial variability by using OK on the data that had been segregated into dry and wet seasons. The wet season mean for X_CO2 ranged from 393.96 ± 0.10 to 394.14 ± 0.10 ppm between 2015 and 2018, and no variation in the mean of X_CO2 was observed between these years in the dry season. SIF was higher in the rainy season compared to the dry season. A significant and more substantial negative relationship (r = − 0.84, p < 0.01) was observed between X_CO2 and SIF. Higher values of X_CO2 and SIF were observed in the northern region of the state, under the Amazon biome. Therefore, the seasonal variability of X_CO2 in the Mato Grosso State, Brazil, is positively related to SIF. It indicates that photosynthesis plays an essential role in this carbon dynamics under regional conditions.

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OCO-2 观测到的 XCO2 和 SIF 时空模式：巴西中西部地区案例研究

本研究采用普通克里格法（OK）作为空间插值方法，旨在研究巴西中西部马托格罗索州干燥空气中二氧化碳摩尔分数（XCO2）和太阳诱导叶绿素荧光（SIF）的柱平均值的季节空间变异性。XCO2 和 SIF 遥感数据是在轨道碳观测站-2（OCO-2）平台上收集的。通过对分为旱季和雨季的数据使用 OK 方法进行描述性统计分析，还纳入了空间变异性。在 2015 年至 2018 年期间，XCO2 的雨季平均值介于 393.96 ± 0.10 至 394.14 ± 0.10 ppm 之间，在这些年份之间的旱季 XCO2 平均值没有变化。与旱季相比，雨季的 SIF 较高。在 XCO2 和 SIF 之间观察到了明显且更大的负相关（r = - 0.84，p <0.01）。在亚马逊生物群落下的该州北部地区观测到了较高的 XCO2 和 SIF 值。因此，巴西马托格罗索州 XCO2 的季节变化与 SIF 呈正相关。这表明，光合作用在区域条件下的碳动态变化中起着至关重要的作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of the Indian Society of Remote Sensing ENVIRONMENTAL SCIENCES-REMOTE SENSING

CiteScore

4.80

自引率

8.00%

发文量

163

审稿时长

7 months

期刊介绍： The aims and scope of the Journal of the Indian Society of Remote Sensing are to help towards advancement, dissemination and application of the knowledge of Remote Sensing technology, which is deemed to include photo interpretation, photogrammetry, aerial photography, image processing, and other related technologies in the field of survey, planning and management of natural resources and other areas of application where the technology is considered to be appropriate, to promote interaction among all persons, bodies, institutions (private and/or state-owned) and industries interested in achieving advancement, dissemination and application of the technology, to encourage and undertake research in remote sensing and related technologies and to undertake and execute all acts which shall promote all or any of the aims and objectives of the Indian Society of Remote Sensing.