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Impacts of Re-Vegetation on Surface Soil Moisture over the Chinese Loess Plateau Based on Remote Sensing Datasets
Jiao, Qiao1; Li, Rui1,2,3; Wang, Fei1,2,3; Mu, Xingmin1,2,3; Li, Pengfei2; An, Chunchun2
2016-02-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume8Issue:2Pages:15
Corresponding AuthorLi, Rui(lirui@ms.iswc.ac.cn) ; Wang, Fei(wafe@ms.iswc.ac.cn)
AbstractA large-scale re-vegetation supported by the Grain for Green Project (GGP) has greatly changed local eco-hydrological systems, with an impact on soil moisture conditions for the Chinese Loess Plateau. It is important to know how, exactly, re-vegetation influences soil moisture conditions, which not only crucially constrain growth and distribution of vegetation, and hence, further re-vegetation, but also determine the degree of soil desiccation and, thus, erosion risk in the region. In this study, three eco-environmental factors, which are Soil Water Index (SWI), the Normalized Difference Vegetation Index (NDVI), and precipitation, were used to investigate the response of soil moisture in the one-meter layer of top soil to the re-vegetation during the GGP. SWI was estimated based on the backscatter coefficient produced by the European Remote Sensing Satellite (ERS-1/2) and Meteorological Operational satellite program (MetOp), while NDVI was derived from SPOT imageries. Two separate periods, which are 1998-2000 and 2008-2010, were selected to examine the spatiotemporal pattern of the chosen eco-environmental factors. It has been shown that the amount of precipitation in 1998-2000 was close to that of 2008-2010 (the difference being 13.10 mm). From 1998-2000 to 2008-2010, the average annual NDVI increased for 80.99%, while the SWI decreased for 72.64% of the area on the Loess Plateau. The average NDVI over the Loess Plateau increased rapidly by 17.76% after the 10-year GGP project. However, the average SWI decreased by 4.37% for two-thirds of the area. More specifically, 57.65% of the area on the Loess Plateau experienced an increased NDVI and decreased SWI, 23.34% of the area had an increased NDVI and SWI. NDVI and SWI decreased simultaneously for 14.99% of the area, and the decreased NDVI and increased SWI occurred at the same time for 4.02% of the area. These results indicate that re-vegetation, human activities, and climate change have impacts on soil moisture. However, re-vegetation, which consumes a large quantity of soil water, may be the major factor for soil moisture change in most areas of the Loess Plateau. It is, therefore, suggested that Soil Moisture Content (SMC) should be kept in mind when carrying out re-vegetation in China's arid and semi-arid regions.
Keywordthe Loess Plateau Grain for Green Project (GGP) Soil Water Index (SWI) Normalized Difference Vegetation Index (NDVI) remote sensing precipitation China
DOI10.3390/rs8020156
WOS KeywordERS SCATTEROMETER ; PRECIPITATION
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41171420] ; Key Research Program of the Chinese Academy of Sciences[KZZD-EW-04] ; West Light Foundation of The Chinese Academy of Sciences[2013-165-04] ; External Cooperation Program of BIC, Chinese Academy of Sciences[16146KYSB20150001] ; European Commission[635750] ; National Key Basic Research Special Foundation of China[2014FY210100]
Funding OrganizationNational Natural Science Foundation of China ; Key Research Program of the Chinese Academy of Sciences ; West Light Foundation of The Chinese Academy of Sciences ; External Cooperation Program of BIC, Chinese Academy of Sciences ; European Commission ; National Key Basic Research Special Foundation of China
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000371898800064
PublisherMDPI AG
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/67412
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLi, Rui; Wang, Fei
Affiliation1.Northwest A&F Univ, Coll Nat Resources & Environm, Yangling 712100, Peoples R China
2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Peoples R China
3.Northwest A&F Univ, Inst Soil & Water Conservat, Yangling 712100, Peoples R China
Recommended Citation
GB/T 7714
Jiao, Qiao,Li, Rui,Wang, Fei,et al. Impacts of Re-Vegetation on Surface Soil Moisture over the Chinese Loess Plateau Based on Remote Sensing Datasets[J]. REMOTE SENSING,2016,8(2):15.
APA Jiao, Qiao,Li, Rui,Wang, Fei,Mu, Xingmin,Li, Pengfei,&An, Chunchun.(2016).Impacts of Re-Vegetation on Surface Soil Moisture over the Chinese Loess Plateau Based on Remote Sensing Datasets.REMOTE SENSING,8(2),15.
MLA Jiao, Qiao,et al."Impacts of Re-Vegetation on Surface Soil Moisture over the Chinese Loess Plateau Based on Remote Sensing Datasets".REMOTE SENSING 8.2(2016):15.
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