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Using remote sensing for monitoring the dynamic of soil organic carbon concentration in Lake Valencia basin, Venezuela, based on Landsat 8 data

机译:基于Landsat 8数据,使用遥感监测瓦伦西亚盆地湖湖盆地湖盆地土壤有机碳浓度的动态

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Maintaining or increasing SOC concentration is fundamental for reducing the effects of global warming and increasing soil productivity. In this paper, a method based on Landsat 8 OLI products was developed for qualitatively monitoring in the Lake Valencia basin (Venezuela) the dynamic of SOC concentration between the years 2013 to 2018. The developed method uses the Green (B3), NIR (B5) and SW1 (B6) bands of Landsat 8 OLI sensor for detecting changes in the spectral signatures of bare soils that indicate possible variations in their concentrations of SOC. It was found that for the study period, the Lake Valencia basin soils do not present spectral features of significant variation in SOC concentration. An area of 8.61Km~(2)(0.3% of the study area) was identified as a zone with a possible reduction of SOC concentration. In case of insufficient data for developing remote sensing based predictive models, the proposed method allows qualitatively monitoring and categorizing the dynamic of SOC concentration and identifying areas with spectral features of a possible variation in SOC concentration.
机译:维持或增加SoC集中是降低全球变暖和越来越多的土壤生产率的影响。在本文中,开发了一种基于Landsat 8 Oli产品的方法,在瓦伦西亚湖(委内瑞拉)在2013年至2018年间的SoC集中的动态进行了定性监测。开发方法使用绿色(B3),NIR(B5 )和SW1(B6)LANDSAT 8 OLI传感器的带,用于检测裸土光谱签名的变化,表明其浓度的SOC的可能变化。有人发现,对于研究期间,瓦伦西亚湖盆地土壤不呈现SOC浓度显着变化的光谱特征。鉴定了8.61km〜(2)(研究区域的0.3%)作为一个区域,具有可能减少SoC浓度的区域。在基于遥感的预测模型中开发遥感的数据不足的情况下,所提出的方法允许定性监视和分类SOC浓度的动态,并识别具有SOC浓度的可能变化的光谱特征的区域。

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