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The Generation of Soil Spectral Dynamic Feedback Using Landsat 8 Data for Digital Soil Mapping

文献类型：期刊论文

作者Zeng, Canying1,6; Yang, Lin2,3; Zhu, A-Xing1,3,4,5
刊名REMOTE SENSING
出版日期2020-05-01
卷号12期号:10页码:19
关键词soil spectral dynamic feedback soil texture rainfall magnitude Landsat 8 soil mapping
DOI10.3390/rs12101691
通讯作者Zhu, A-Xing(azhu@wisc.edu)
英文摘要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.
WOS关键词SPATIAL VARIABILITY ; ORGANIC-MATTER ; MOISTURE ; EVAPORATION ; REFLECTANCE ; TEXTURE ; DIFFERENTIATION ; PATTERNS ; FUSION ; MODEL
资助项目National Natural Science Foundation of China[41901062] ; National Natural Science Foundation of China[41971054] ; National Natural Science Foundation of China[41871300] ; Postdoctoral Science Foundation of China[2018M642389]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000543394800158
出版者MDPI
资助机构National Natural Science Foundation of China ; Postdoctoral Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/162432]  
专题中国科学院地理科学与资源研究所
通讯作者Zhu, A-Xing
作者单位1.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, 1 Wenyuan Rd, Nanjing 210023, Peoples R China
2.Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
4.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA
5.Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ, 1 Wenyuan Rd, Nanjing 210023, Peoples R China
6.Zhejiang Univ Finance & Econ, Inst Land & Urban Rural Dev, Hangzhou 310018, Peoples R China
推荐引用方式
GB/T 7714		 Zeng, Canying,Yang, Lin,Zhu, A-Xing. The Generation of Soil Spectral Dynamic Feedback Using Landsat 8 Data for Digital Soil Mapping[J]. REMOTE SENSING,2020,12(10):19.
APA Zeng, Canying,Yang, Lin,&Zhu, A-Xing.(2020).The Generation of Soil Spectral Dynamic Feedback Using Landsat 8 Data for Digital Soil Mapping.REMOTE SENSING,12(10),19.
MLA Zeng, Canying,et al."The Generation of Soil Spectral Dynamic Feedback Using Landsat 8 Data for Digital Soil Mapping".REMOTE SENSING 12.10(2020):19.

入库方式： OAI收割

来源：地理科学与资源研究所

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