Spatio-temporal variation of aquatic macrophyte cover in a reservoir using Landsat images and Google Earth Engine

Pub Date : 2022-01-01 DOI:10.1590/2318-0331.272220220074
Aline Guidolin da Luz, T. Bleninger, Bruna Arcie Polli, Bernardo Lipski
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引用次数: 3

Abstract

ABSTRACT The presence of large amounts of aquatic macrophytes in reservoirs can trigger several impacts on the local ecosystem and conventional methodologies used for their monitoring only returns information from the present moment. With that in mind, this study aimed to map spatio-temporal variation of macrophyte cover using Landsat 5, 7 and 8 images between 1984-2021 at Jupiá reservoir, in south east of Brazil, besides determining curves and maps of macrophyte cover permanence. The identification of these organisms in the images, and their distinction from other vegetations, was made through spectral indices (NDVI, GNDVI and GSAVI) and the determination of the characteristic range of each of these classes, which was given by probability distributions. Interannual variations were observed in the spatial arrangement of macrophytes and the area's growth trend, possibly being caused by the implantation of an upstream reservoir. Although the number of images without interference was a limitation, the construction of a historical series of macrophytes occupation and the determination of permanence curves and maps proved to be satisfactory and could help on the decision-making processes for the management of these organisms.
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基于Landsat图像和Google Earth Engine的水库水生植物覆盖时空变化研究
水库中大量水生植物的存在会对当地生态系统产生一些影响,而用于监测它们的传统方法只能返回当前的信息。基于此,本研究利用巴西东南部jupi水库的Landsat 5、7和8影像,绘制了1984-2021年期间大植物覆盖的时空变化,并绘制了大植物覆盖持久性曲线和图。通过光谱指数(NDVI、GNDVI和GSAVI)和概率分布确定每一类生物的特征范围,在图像中对这些生物进行识别,并与其他植被进行区分。大型植物的空间分布和生长趋势呈年际变化,可能与上游水库的注入有关。虽然无干扰图像的数量有限,但大型植物占领历史序列的构建和永久曲线和地图的确定证明是令人满意的,可以帮助这些生物管理的决策过程。
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