The Generation of Soil Spectral Dynamic Feedback Using Landsat 8 Data for Digital Soil Mapping
The Generation of Soil Spectral Dynamic Feedback Using Landsat 8 Data for Digital Soil Mapping
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DOI：
10.3390/rs12101691
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发表时间：
2020-05
期刊：
影响因子：
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通讯作者：
Canying Zeng;Lin Yang;A. Zhu
中科院分区：
文献类型：
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作者：
Canying Zeng;Lin Yang;A. Zhu
利用MODIS等高时间分辨率遥感数据获取降雨后土壤干燥过程中的土壤光谱动态反馈信息，可以为数字土壤制图提供帮助。然而，这种方法在利用空间分辨率相对较高的图像时效果不佳。土壤干燥过程中的图像数量不足，因为这些高空间分辨率的图像往往具有较低的时间分辨率。本研究的目的是在不同降雨事件后的多次干旱过程中，结合高空间分辨率的图像反馈，生成土壤光谱动态反馈。以陆地卫星8号数据为例，其时间分辨率为16天。首先对从Landsat 8获得的每个单一光谱反馈进行调整，以消除不同降雨量的影响。然后，根据调整后的反馈对土壤光谱动态反馈进行重组和生成。最后，将基于Landsat 8数据生成的土壤光谱动态反馈用于表层土壤质地的制图，并与基于MODIS数据和MODIS与Landsat 8融合数据的制图结果进行了比较。结果表明，基于Landsat 8数据生成的土壤光谱动态反馈不仅改善了土壤质地的空间分布细节，而且提高了制图的精度。基于Landsat 8数据的制图精度高于基于MODIS数据和融合数据的制图精度。在地表条件较复杂的地区，精度的提高更为明显。该研究拓宽了土壤光谱动态反馈的应用范围，为大比例尺、高精度的数字土壤制图提供了支持。
The soil spectral dynamic feedback captured from high temporal resolution remote sensing data, such as MODIS, during the soil drying process after a rainfall could assist with digital soil mapping. However, this method is ineffective in utilizing the images with a relatively high spatial resolution. There are an insufficient number of images in the soil drying process since those high spatial resolution images tend to have a low temporal resolution. This study is aimed at generating soil spectral dynamic feedback by integrating the feedback captured from the images with a high spatial resolution during the process of multiple drying after different rainfall events. The Landsat 8 data with a temporal resolution of 16 day was exemplified. Each single spectral feedback obtained from Landsat 8 was first adjusted to eliminate the impact of different rainfall magnitudes. Then, the soil spectral dynamic feedback was reorganized and generated based on the adjusted feedback. Finally, the soil spectral dynamic feedback generated based on Landsat 8 was used for mapping topsoil texture and compared with the mapping results based on the MODIS data and the fusion data of MODIS and Landsat 8. As revealed by the results, not only could the generated soil spectral dynamic feedback based on Landsat 8 data improve the details of the spatial distribution of soil texture, but it also enhances the accuracy of mapping. The mapping accuracy based on Landsat 8 data is higher than that based on the MODIS data and fusion data. The improvements of accuracy are more obvious in the areas with more complex surface conditions. This study widens the scope of application for soil spectral dynamic feedback and provides support for large-scale and high-precision digital soil mapping.