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首页> 外文期刊>Journal of South American earth sciences >Spatio-temporal monitoring of soil and plant indicators under forage cactus cultivation by geoprocessing in Brazilian semi-arid region
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Spatio-temporal monitoring of soil and plant indicators under forage cactus cultivation by geoprocessing in Brazilian semi-arid region

机译:巴西半干旱地区地球化术中饲养仙人掌栽培土壤和植物指标的时空监测

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The objective of this work was to characterize the spectral responses of soil and plant indicators utilizing the SoilAdjusted Vegetation Index (SAVI) and Leaf Area Index (LAI) in areas under the cultivation of ?Orelha de Elefante Mexicana? forage cactus (Opuntia stricta (Haw.) Haw.) and ?Mi?da? (Nopalea cochenillifera (L.) Salm-Dyck) in Brazilian semi-arid region and to establish a model for characterizing vegetation cover in crop production areas. The research was conducted in Brazilian semi-arid region, which had two areas under the cultivation of forage cactus in the period from 2017 to 2020. Soil physical attributes and plant morphometric variables were recorded, concomitantly the determination of SAVI and LAI, from images from the Sentinel-2 satellite. The recorded data were submitted to principal component analysis. The cumulative total variance of the principal components showed satisfactory results for both areas. There was a correlation between plant height, the number of cladodes, and vegetation indices, selected to compose the predictive variables of the multiple regression model. It is recommended to use images from the Sentinel-2 satellite in small areas, given its lower spatial resolution in capturing different spectral responses.
机译:这项工作的目的是将土壤和植物指标的光谱反应在于培养的土壤和叶子区域指数(莱叶区域指数(莱)培养?Orelha de Elefante Mexicana?饲料仙人掌(仙人掌stricta(haw。)haw。)和?mi?da? (Nopalea Cochenillifera(L.)Salm-Dyck)在巴西半干旱地区,并建立了在作物生产区中表征植被覆盖的模型。该研究在巴西半干旱地区进行,在2017年至2020年期间在饲料仙人掌培养下有两个地区。征地,兼顾萨维和赖的土壤物理属性和植物形态学变量Sentinel-2卫星。记录的数据已提交给主成分分析。主成分的累积总方差显示了两个领域的令人满意的结果。植物高度,Cladodes数量和植被指数之间存在相关性,选择组成多元回归模型的预测变量。在捕获不同的光谱响应时,建议在小区域中使用来自小区域的Sentinel-2卫星的图像。

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