IGSNRR OpenIR
Long-term monitoring of citrus orchard dynamics using time-series Landsat data: a case study in southern China
Xu, Hanzeyu1; Qi, Shuhua1,2; Gong, Peng3; Liu, Chong1,2; Wang, Junbang4
2018
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
Volume39Issue:22Pages:8271-8292
Corresponding AuthorLiu, Chong(liuchong@jxnu.edu.cn)
AbstractCitrus orchard planting is a typical land-use change process that can impact terrestrial ecosystem services both locally and globally. Longterm monitoring of citrus orchard dynamics is critical for understanding its change patterns as well as the potential driving factors. Satellite remote-sensing imagery has been a primary data source for this purpose. However, most previous studies with multi-year intervals only captured some, but not all detailed information on citrus orchard expansion. In this study, we developed a framework for mapping annual citrus orchard extent and track its long-term dynamics in Xunwu County, China, using the historical Landsat repository from 1990 to 2016. The results suggested that the average overall accuracy of original annual mapping was 87.73%, and its performance was significantly improved after the temporal filtering approach (91.46%). Several features (e.g. elevation, slope, normalized difference vegetation index) played more important roles in citrus orchard identification. With the achieved annual mapping layers, we found a rapid citrus orchard expansion trend during the study interval (i.e. from 22.18 to 697.21 km(2)). Moreover, this expansion process was unevenly distributed in time. Spatially, emerging citrus orchards were primarily transformed from forests and croplands and mainly distributed in areas with elevations from 200 to 500 m and slopes range from 5 degrees to 20 degrees. This study demonstrated the potential of mapping citrus orchard dynamics at a higher temporal frequency with remote-sensing time-series, which can contribute to providing reference for sustainable land-use policy.
DOI10.1080/01431161.2018.1483088
WOS KeywordCOVER CLASSIFICATION ; RIVER DELTA ; EXPANSION ; FOREST ; URBAN ; DETERMINANTS ; LANDSCAPE ; TM
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41601453] ; Jiangxi Province Natural Science Foundation[20161BAB213078] ; Collaborative Innovation Center for Major Ecological Security Issues of Jiangxi Province and Monitoring Implementation[JXS-EW-00]
Funding OrganizationNational Natural Science Foundation of China ; Jiangxi Province Natural Science Foundation ; Collaborative Innovation Center for Major Ecological Security Issues of Jiangxi Province and Monitoring Implementation
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000456452100019
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/50448
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLiu, Chong
Affiliation1.Jiangxi Normal Univ, Sch Geog & Environm, Nanchang, Jiangxi, Peoples R China
2.Jiangxi Normal Univ, Minist Educ, Key Lab Poyang Lake Wetland & Watershed Res, Nanchang 330022, Jiangxi, Peoples R China
3.Tsinghua Univ, Minist Educ, Dept Earth Syst Sci, Key Lab Earth Syst Modeling, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Xu, Hanzeyu,Qi, Shuhua,Gong, Peng,et al. Long-term monitoring of citrus orchard dynamics using time-series Landsat data: a case study in southern China[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2018,39(22):8271-8292.
APA Xu, Hanzeyu,Qi, Shuhua,Gong, Peng,Liu, Chong,&Wang, Junbang.(2018).Long-term monitoring of citrus orchard dynamics using time-series Landsat data: a case study in southern China.INTERNATIONAL JOURNAL OF REMOTE SENSING,39(22),8271-8292.
MLA Xu, Hanzeyu,et al."Long-term monitoring of citrus orchard dynamics using time-series Landsat data: a case study in southern China".INTERNATIONAL JOURNAL OF REMOTE SENSING 39.22(2018):8271-8292.
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
[Xu, Hanzeyu]'s Articles
[Qi, Shuhua]'s Articles
[Gong, Peng]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xu, Hanzeyu]'s Articles
[Qi, Shuhua]'s Articles
[Gong, Peng]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xu, Hanzeyu]'s Articles
[Qi, Shuhua]'s Articles
[Gong, Peng]'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.