Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/90622
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Title: Monitoring interannual dynamics of desertification in Minqin County, China, using dense Landsat time series
Authors: Zhu, X 
Leung, KH 
Li, WS 
Cheung, LK 
Issue Date: 2020
Source: International journal of digital earth, 2020, v. 13, no. 8, p. 886-898
Abstract: Minqin County in northwestern China is highly affected by desertification. Campaigns have been initiated in recent decades to combat desertification in Minqin. To assess the effectiveness of these campaigns, this study used a dense Landsat time series from 1987 to 2017 to investigate the interannual dynamics of vegetation coverage and greenness over the past 31 years. First, this study applied an advanced technology to reconstruct a high-quality Landsat annual time series. Specifically, one image in the vegetation-peak season was selected as the base image in each year, and then problematic pixels were interpolated by the neighborhood similar pixel interpolator using ancillary images in the same year. Second, the land cover map and the enhanced vegetation index (EVI) were derived from all reconstructed images. Third, the change of vegetation coverage and EVI values over the 31 years were analyzed. The results show that the total vegetation coverage and greenness increased during the 31 years. Linking this change trend to other factors suggests that vegetation in Minqin County is highly affected by agriculture and groundwater supply rather than by climate. To mitigate desertification in a sustainable way, agriculture should be well managed to avoid overconsumption of natural resources such as underground water.
Keywords: Agriculture
Desertification
Landsat
Minqin County
Time series
Vegetation cover
Publisher: Taylor & Francis
Journal: International journal of digital earth 
ISSN: 1753-8947
EISSN: 1753-8955
DOI: 10.1080/17538947.2019.1585979
Rights: © 2019 Informa UK Limited, trading as Taylor & Francis Group
This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Digital Earth on 04 Mar 2019 (Published online), available online: http://www.tandfonline.com/10.1080/17538947.2019.1585979.
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