IGSNRR OpenIR
Fusing MODIS and OLI images: evaluating applications to winterwheat mapping
Qi, Yanbing1; Wang, Yinyin2
2019-08-09
Source PublicationARABIAN JOURNAL OF GEOSCIENCES
ISSN1866-7511
Volume12Issue:16Pages:10
Corresponding AuthorWang, Yinyin(wangyinyinwyy@163.com)
AbstractModerate resolution imaging spectroradiometer (MODIS) series products are widely used to observe Earth's surface, but the coarse resolution of MODIS images may negatively affect the monitoring accuracy. In this paper, MODIS vegetation index data (NDVI, normalized difference vegetation index; EVI, enhanced vegetation index) were fused with operational land imager (OLI) data (Landsat 8 OLI: pan band) using two image transform methods (WT, wavelet transform; GST, Gram-Schmidt transform) to improve the accuracy of winter wheat mapping. The findings showed that image fusion resulted in increased information entropy for image interpretation; however, the mapping accuracy was improved based on the fused OLI and MODIS images for only the OLI pan image acquired during the winter wheat growing season. Winter wheat was more often misclassified as urban green spaces in the summer than in the spring. For the entire study area, the overestimation of winter wheat based on the fused EVI and OLI data and the WT algorithm reached 5.98%. The time-series curves of the fused images were similar to those of the MODIS images, suggesting that time-series MODIS images might have expanded application in phenology-based wheat mapping.
KeywordWinter wheat MODIS NDVI EVI OLI Image fusion
DOI10.1007/s12517-019-4699-z
WOS KeywordTIME-SERIES ; LAND-COVER ; MULTITEMPORAL MODIS ; VEGETATION DYNAMICS ; WAVELET TRANSFORM ; CROP ; WHEAT ; NDVI ; CHINA ; CLASSIFICATION
Indexed BySCI
Language英语
Funding ProjectNational Nature Science Foundation of China[41877007] ; Social Science Basic Research Plan in Shaanxi Province of China[13D130]
Funding OrganizationNational Nature Science Foundation of China ; Social Science Basic Research Plan in Shaanxi Province of China
WOS Research AreaGeology
WOS SubjectGeosciences, Multidisciplinary
WOS IDWOS:000480482700002
PublisherSPRINGER HEIDELBERG
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68807
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Yinyin
Affiliation1.Northwest A&F Univ, Coll Nat Resources & Environm, Yangling 712100, Shaanxi, Peoples R China
2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, State Key Lab Soil Eros & Thyland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
Recommended Citation
GB/T 7714
Qi, Yanbing,Wang, Yinyin. Fusing MODIS and OLI images: evaluating applications to winterwheat mapping[J]. ARABIAN JOURNAL OF GEOSCIENCES,2019,12(16):10.
APA Qi, Yanbing,&Wang, Yinyin.(2019).Fusing MODIS and OLI images: evaluating applications to winterwheat mapping.ARABIAN JOURNAL OF GEOSCIENCES,12(16),10.
MLA Qi, Yanbing,et al."Fusing MODIS and OLI images: evaluating applications to winterwheat mapping".ARABIAN JOURNAL OF GEOSCIENCES 12.16(2019):10.
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
[Qi, Yanbing]'s Articles
[Wang, Yinyin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Qi, Yanbing]'s Articles
[Wang, Yinyin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Qi, Yanbing]'s Articles
[Wang, Yinyin]'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.