Construction of land surface dynamic feedbacks for digital soil mapping with fusion of multisource remote sensing data
文献类型：期刊论文
| 作者 | Zeng, C. Y.7,8; Zhu, A. X.5,6,7,8; Qi, F.4; Liu, J. Z.7,8; Yang, L.3,4; Liu, F.1; Li, F. L.2 |
| 刊名 | EUROPEAN JOURNAL OF SOIL SCIENCE
 |
| 出版日期 | 2019 |
| 卷号 | 70期号:1页码:174-184 |
| ISSN号 | 1351-0754 |
| DOI | 10.1111/ejss.12566 |
| 通讯作者 | Zhu, A. X.(azhu@wisc.edu) |
| 英文摘要 | The use of environmental covariates to predict soil spatial variation is a widely adopted approach to digital soil mapping. However, commonly used covariates such as topography, landform and vegetation are often ineffective for estimating soil variation in areas of low relief. Recent studies have shown the effectiveness of a new covariate called land surface dynamic feedback (LSDF) for digital soil mapping in such areas. The construction of LSDF relies on remote sensing (RS) data with high temporal resolution to record the drying process after a rain event. The trade-off of obtaining high temporal resolution with RS data is that they are often of low spatial resolution. To overcome this limitation, our study uses the ESTARFM (enhanced spatial and temporal adaptive reflectance fusion model) algorithm to fuse MODIS and Landsat 8 data to obtain images that benefit from the high temporal resolution of MODIS and high spatial resolution of Landsat. The LSDF was then derived from the fused images to predict soil texture in a case study in north Xuancheng, Anhui Province. Compared with particle-size fractions estimated with LSDF derived from the original MODIS data, the results were more accurate and produced more spatial detail when mapped. We conclude that the ESTARFM algorithm can improve the spatial resolution of high temporal resolution RS data and offers an effective approach to derive more accurate measures of LSDF for digital soil mapping in areas of low relief. |
| WOS关键词 | ORGANIC-MATTER ; RANDOM FOREST ; DIFFERENTIATION ; REFLECTANCE ; UNCERTAINTY ; VARIABILITY ; PATTERNS ; IMAGES ; MODIS |
| 资助项目 | National Natural Science Foundation of China[41431177] ; Natural Science Research Program of Jiangsu[14KJA170001] ; National Basic Research Program of China[2015CB954102] ; Natural Science Foundation of Jiangsu Province of China[BK20150975] ; cultivation project of excellent doctoral dissertations of Nanjing Normal University for 2016[YBPY16_006] ; Vilas Associate Award from the University of Wisconsin-Madison ; Hammel Faculty Fellow Award from the University of Wisconsin-Madison ; Manasse Chair Professorship from the University of Wisconsin-Madison ; 'One-Thousand Talents' Programme of China |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| 出版者 | WILEY |
| WOS记录号 | WOS:000457540900018 |
| 资助机构 | National Natural Science Foundation of China ; Natural Science Research Program of Jiangsu ; National Basic Research Program of China ; Natural Science Foundation of Jiangsu Province of China ; cultivation project of excellent doctoral dissertations of Nanjing Normal University for 2016 ; Vilas Associate Award from the University of Wisconsin-Madison ; Hammel Faculty Fellow Award from the University of Wisconsin-Madison ; Manasse Chair Professorship from the University of Wisconsin-Madison ; 'One-Thousand Talents' Programme of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/49917]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhu, A. X. |
| 作者单位 | 1.Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, 71 Beijing East Rd, Nanjing 210008, Peoples R China 2.Zhejiang Arch Surveying Mapping & Geoinformat, Zhejiang Geospatial Data Exchange Ctr, Intersect West Wener Rd & Chashian Rd, Hangzhou 311121, Zhejiang, Peoples R China 3.Nanjing Univ, Sch Geog & Oceanog Sci, 163 Xianlin Rd, Nanjing 210023, Jiangsu, Peoples R China 4.Kean Univ, Sch Environm & Sustainabil Sci, 1000 Morris Ave, Union, NJ 07083 USA 5.Univ Wisconsin Madison, Dept Geog, 550 North Pk St, Madison, WI 53706 USA 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A Datun Rd, Beijing 100101, Peoples R China 7.Jiangsu Ctr Collaborat Innovat Geog Informat Res, 1 Wenyuan Rd, Nanjing 210023, Jiangsu, Peoples R China 8.Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, 1 Wenyuan Rd, Nanjing 210023, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zeng, C. Y.,Zhu, A. X.,Qi, F.,et al. Construction of land surface dynamic feedbacks for digital soil mapping with fusion of multisource remote sensing data[J]. EUROPEAN JOURNAL OF SOIL SCIENCE,2019,70(1):174-184. |
| APA | Zeng, C. Y..,Zhu, A. X..,Qi, F..,Liu, J. Z..,Yang, L..,...&Li, F. L..(2019).Construction of land surface dynamic feedbacks for digital soil mapping with fusion of multisource remote sensing data.EUROPEAN JOURNAL OF SOIL SCIENCE,70(1),174-184. |
| MLA | Zeng, C. Y.,et al."Construction of land surface dynamic feedbacks for digital soil mapping with fusion of multisource remote sensing data".EUROPEAN JOURNAL OF SOIL SCIENCE 70.1(2019):174-184. |
入库方式： OAI收割
来源：地理科学与资源研究所
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