巴西圣保罗卡纳内亚-伊瓜佩海岸系统植被覆盖的变化及其与地表温度的关系

IF 4.2 2区 地球科学 Q2 ENVIRONMENTAL SCIENCES Remote Sensing Pub Date : 2024-09-18 DOI:10.3390/rs16183460
Jakeline Baratto, Paulo Miguel de Bodas Terassi, Emerson Galvani
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引用次数: 0

摘要

本文旨在研究圣保罗(巴西)卡纳内亚-伊瓜佩海岸系统(CICS)植被指数与地表温度之间可能存在的相关性。这项工作使用了 MODIS 轨道产品中的植被指数数据。归一化植被指数(NDVI)和增强植被指数(EVI)来自 MODIS/Aqua 传感器(MYD13Q1),叶面积指数(LAI)来自 MODIS/Terra(MOD15A2H)。地表温度数据来自 MODIS/Aqua 传感器(MYD11A2)。数据使用谷歌地球引擎和谷歌 Colab 进行处理。收集数据后,应用了空间和时间相关性。相关性应用于年度和季节。植被指数与地表温度之间的年度时间相关性为正,但对 LAI 而言,r = 0.43(显著性为 90%),具有统计学意义。在季节期间,JFM 的所有指数都呈正相关(95% 的显著性)。从空间上看,研究结果表明,VI 与 LST 呈正相关的区域面积最大。最热和雨量最大的时段(OND 和 JFM)的相关性更为明显和显著。在一些地区,如北部、南部和伊瓜佩市附近的一些地区,观测到了明显的显著相关性。这凸显了植被指数与气候属性之间相互作用的复杂性,并强调了在解释植被变化时考虑其他环境变量和过程的重要性。不过,这项研究通过建立新的相关关系,证明了考虑气候变异性的重要性,从而更准确地了解对植被指数的影响,极大地推动了这一领域的发展。
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Changes in Vegetation Cover and the Relationship with Surface Temperature in the Cananéia–Iguape Coastal System, São Paulo, Brazil
The objective of this article is to investigate the possible correlations between vegetation indices and surface temperature in the Cananéia–Iguape Coastal System (CICS), in São Paulo (Brazil). Vegetation index data from MODIS orbital products were used to carry out this work. The Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI) were acquired from the MODIS/Aqua sensor (MYD13Q1) and the leaf area index (LAI) from the MODIS/Terra (MOD15A2H). Surface temperature data were acquired from MODIS/Aqua (MYD11A2). The data were processed using Google Earth Engine and Google Colab. The data were collected, and spatial and temporal correlations were applied. Correlations were applied in the annual and seasonal period. The annual temporal correlation between vegetation indices and surface temperature was positive, but statistically significant for the LAI, with r = 0.43 (90% significance). In the seasonal period, positive correlations occurred in JFM for all indices (95% significance). Spatially, the results of this research indicate that the largest area showed a positive correlation between VI and LST. The hottest and rainiest periods (OND and JFM) had clearer and more significant correlations. In some regions, significant and clear correlations were observed, such as in some areas in the north, south and close to the city of Iguape. This highlights the complexity of the interactions between vegetation indices and climatic attributes, and highlights the importance of considering other environmental variables and processes when interpreting changes in vegetation. However, this research has significantly progressed the field, by establishing new correlations and demonstrating the importance of considering climate variability, for a more accurate understanding of the impacts on vegetation indices.
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来源期刊
Remote Sensing
Remote Sensing REMOTE SENSING-
CiteScore
8.30
自引率
24.00%
发文量
5435
审稿时长
20.66 days
期刊介绍: Remote Sensing (ISSN 2072-4292) publishes regular research papers, reviews, letters and communications covering all aspects of the remote sensing process, from instrument design and signal processing to the retrieval of geophysical parameters and their application in geosciences. Our aim is to encourage scientists to publish experimental, theoretical and computational results in as much detail as possible so that results can be easily reproduced. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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