IGSNRR OpenIR
Construction of land surface dynamic feedbacks for digital soil mapping with fusion of multisource remote sensing data
Zeng, C. Y.1,2; Zhu, A. X.1,2,3,4; Qi, F.5; Liu, J. Z.1,2; Yang, L.5,6; Liu, F.7; Li, F. L.8
2019
Source PublicationEUROPEAN JOURNAL OF SOIL SCIENCE
ISSN1351-0754
Volume70Issue:1Pages:174-184
Corresponding AuthorZhu, A. X.(azhu@wisc.edu)
AbstractThe 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.
DOI10.1111/ejss.12566
WOS KeywordORGANIC-MATTER ; RANDOM FOREST ; DIFFERENTIATION ; REFLECTANCE ; UNCERTAINTY ; VARIABILITY ; PATTERNS ; IMAGES ; MODIS
Indexed BySCI
Language英语
Funding ProjectNational 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
Funding OrganizationNational 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
WOS Research AreaAgriculture
WOS SubjectSoil Science
WOS IDWOS:000457540900018
PublisherWILEY
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/49918
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhu, A. X.
Affiliation1.Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, 1 Wenyuan Rd, Nanjing 210023, Jiangsu, Peoples R China
2.Jiangsu Ctr Collaborat Innovat Geog Informat Res, 1 Wenyuan Rd, Nanjing 210023, Jiangsu, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A Datun Rd, Beijing 100101, Peoples R China
4.Univ Wisconsin Madison, Dept Geog, 550 North Pk St, Madison, WI 53706 USA
5.Kean Univ, Sch Environm & Sustainabil Sci, 1000 Morris Ave, Union, NJ 07083 USA
6.Nanjing Univ, Sch Geog & Oceanog Sci, 163 Xianlin Rd, Nanjing 210023, Jiangsu, Peoples R China
7.Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, 71 Beijing East Rd, Nanjing 210008, Peoples R China
8.Zhejiang Arch Surveying Mapping & Geoinformat, Zhejiang Geospatial Data Exchange Ctr, Intersect West Wener Rd & Chashian Rd, Hangzhou 311121, Zhejiang, Peoples R China
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zeng, C. Y.]'s Articles
[Zhu, A. X.]'s Articles
[Qi, F.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zeng, C. Y.]'s Articles
[Zhu, A. X.]'s Articles
[Qi, F.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zeng, C. Y.]'s Articles
[Zhu, A. X.]'s Articles
[Qi, F.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.