Arid
DOI10.1080/01431161.2018.1506185
Remote sensing monitoring of green-up dates in the Xilingol grasslands of northern China and their correlations with meteorological factors
Guo, Jian1,2; Yang, Xiuchun1; Niu, Jianming2; Jin, Yunxiang1; Xu, Bin1; Shen, Ge1; Zhang, Wenbo1; Zhao, Fen3; Zhang, Yujing1
通讯作者Yang, Xiuchun
来源期刊INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
EISSN1366-5901
出版年2019
卷号40期号:5-6页码:2190-2211
英文摘要The grassland vegetation green-up date helps to initiate the start of grassland grazing and is an important scientific issue in grassland phenology research. This study examined green-up in the Xilingol grasslands of northern China. A double logistic function was used to reconstruct a time series of Satellite Pour l'Observation de la Terre Vegetation (SPOT Vegetation) Normalized Difference Vegetation Index (NDVI) data from 1999 to 2012. The dynamic threshold method was used to monitor the green-up date via remote sensing. The study found that green-up dates occurred between early April and mid-May in most areas. Sample plots indicated that 68% of ground monitoring results were consistent with the remotely sensed green-up date. The root mean square error of the green-up date measured via remote sensing was 8.7days. The results are summarized as follows. (1) The green-up date of temperate desert grassland usually occurred around the first half of April but could be quite variable (standard deviation=28.65days). The green-up date of temperate grassland usually occurred in mid- to late April, and was somewhat variable (standard deviation=18.45days). The green-up date of temperate meadow grassland usually occurred in late April or early May with little variability (standard deviation=12.97days). (2) Linear trend analyses showed that only 13.9% of the pixels exhibited significant changes over the 14-year time series. However, the linear trend increased from the southeast to the northwest, with 57% of pixels demonstrating earlier green-up. Across the region, the linear trend exhibited an average rate of change of - 1.5days 10year(-1). In addition, we discuss correlations between green-up dates and meteorological factors at eight meteorological stations and analyse partial correlation coefficients between green-up dates and meteorological factors. The correlations measured at seven meteorological stations were statistically significant (p<0.05). The average correlative value of deterministic factors was 0.54. The partial correlation coefficients between green-up date and temperature prior to seedling establishment were negative at five stations, but this relationship was significant at only three stations. Partial correlation coefficients between green-up date and precipitation prior to seedling establishment were negative at all eight stations, of which five relationships were significant.
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000464043900036
WOS关键词LAND-SURFACE PHENOLOGY ; SPRING VEGETATION PHENOLOGY ; CLIMATE-CHANGE ; TIME-SERIES ; SPATIOTEMPORAL VARIATION ; TIBETAN PLATEAU ; LONG-TERM ; MODIS ; TEMPERATE ; COVER
WOS类目Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
来源机构中国科学院地理科学与资源研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/216515
作者单位1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agriinformat, Beijing 100081, Peoples R China;
2.Inner Mongolia Univ, Sch Ecol & Environm, Hohhot, Peoples R China;
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China
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GB/T 7714
Guo, Jian,Yang, Xiuchun,Niu, Jianming,et al. Remote sensing monitoring of green-up dates in the Xilingol grasslands of northern China and their correlations with meteorological factors[J]. 中国科学院地理科学与资源研究所,2019,40(5-6):2190-2211.
APA Guo, Jian.,Yang, Xiuchun.,Niu, Jianming.,Jin, Yunxiang.,Xu, Bin.,...&Zhang, Yujing.(2019).Remote sensing monitoring of green-up dates in the Xilingol grasslands of northern China and their correlations with meteorological factors.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(5-6),2190-2211.
MLA Guo, Jian,et al."Remote sensing monitoring of green-up dates in the Xilingol grasslands of northern China and their correlations with meteorological factors".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.5-6(2019):2190-2211.
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