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Inversion of organic matter content in wetland soil based on Landsat 8 remote sensing image

机译:基于Landsat 8遥感图像的湿地土壤有机质含量反演

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Using GF-1 and Landsat8 remote sensing images as data sources, combined with the experimental data of wetland soil sampling in Anyi County and Gao'an Research Area, the ability and difference of two remote sensing images in inversion of soil organic matter content were compared. The results show that the reflectivity of the two remote sensing images in the visible and near-infrared bands is significantly correlated with the soil organic matter content, and the correlation is the most in the near-infrared band. The index model established by the near-infrared band of GF-1 is more than the near-infrared band using Landsat8. The power model estimates slightly better. The multi-regression model established by introducing the blue band (dark blue band) and red band has higher inversion precision than the single-band model, especially the improvement effect of Landsat8 remote sensing image. Compared with Landsat8, GF-1 remote sensing image has higher spatial resolution and shorter revisit period, and has similar predictive ability in detecting soil organic matter content, which can replace Landsat8 remote sensing image. (C) 2019 Elsevier Inc. All rights reserved.
机译:以GF-1和Landsat8遥感影像为数据源,结合安邑县和高安研究区湿地土壤采样的实验数据,比较了两个遥感影像对土壤有机质含量反演的能力和差异。 。结果表明,两幅遥感图像在可见波段和近红外波段的反射率与土壤有机质含量显着相关,而在近红外波段的相关性最大。 GF-1的近红外波段建立的指数模型比使用Landsat8的近红外波段更大。功率模型估计好一些。通过引入蓝带(深蓝带)和红带建立的多元回归模型具有比单波段模型更高的反演精度,尤其是Landsat8遥感影像的改善效果。与Landsat8相比,GF-1遥感图像具有更高的空间分辨率和更短的重访周期,并且在检测土壤有机质含量方面具有相似的预测能力,可以代替Landsat8遥感图像。 (C)2019 Elsevier Inc.保留所有权利。

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