Arid
DOI10.3390/rs11141723
Spatiotemporal Analysis of MODIS NDVI in the Semi-Arid Region of Kurdistan (Iran)
Gholamnia, Mehdi1; Khandan, Reza2; Bonafoni, Stefania3; Sadeghi, Ali4
通讯作者Gholamnia, Mehdi
来源期刊REMOTE SENSING
ISSN2072-4292
出版年2019
卷号11期号:14
英文摘要In this study, the spatiotemporal behavior of vegetation cover in the Kurdistan province of Iran was analyzed for the first time by TIMESAT and Breaks for Additive Season and Trend (BFAST) algorithms. They were applied on Normalized Vegetation Index (NDVI) time series from 2000 to 2016 derived from Moderate Resolution Imaging Spectroradiometer (MODIS) observations. The TIMESAT software package was used to estimate the seasonal parameters of NDVI and their relation to land covers. BFAST was applied for identifying abrupt changes (breakpoints) of NDVI and their magnitudes. The results from TIMESAT and BFAST were first reported separately, and then interpreted together. TMESAT outcomes showed that the lowest and highest amplitudes of NDVI during the whole time period happened in 2008 and 2010. The spatial distribution of the number of breakpoints showed different behaviors in the west and east of the study area, and the breakpoint frequency confirmed the extreme NDVI amplitudes in 2008 and 2010 found by TIMESAT. For the first time in Iran, a correlation analysis between accumulated precipitations and maximum NDVIs (from one to seven months before the NDVI maximum) was conducted. The results showed that precipitation one month before had a higher correlation with the maximum NDVIs in the region. Overall, the results describe the NDVI behavior in terms of greenness, lifetime, abrupt changes for the different land covers, and across the years, suggesting how the northwest and west of the study area can be more susceptible to drought conditions.
英文关键词NDVI MODIS TIMESAT BFAST seasonal parameters breakpoints precipitation standardized precipitation index land cover
类型Article
语种英语
国家Iran ; Italy
开放获取类型gold, Green Submitted
收录类别SCI-E
WOS记录号WOS:000480527800093
WOS关键词LAND-SURFACE PHENOLOGY ; TIME-SERIES ; TEMPORAL PATTERNS ; TREND ANALYSIS ; SOFTWARE TOOL ; VEGETATION ; PRECIPITATION ; CLIMATE ; CHIRPS ; TEMPERATURE
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/218391
作者单位1.Islamic Azad Univ, Sanandaj Branch, Dept Civil Engn, Sanandaj 6616935391, Iran;
2.Univ Tehran, Fac Geog, Dept GIS & Remote Sensing, Tehran 141556619, Iran;
3.Univ Perugia, Dept Engn, Via G Duranti 93, I-06125 Perugia, Italy;
4.Univ Isfahan, Fac Geog, Dept GIS & Remote Sensing, Esfahan 8415683111, Iran
推荐引用方式
GB/T 7714
Gholamnia, Mehdi,Khandan, Reza,Bonafoni, Stefania,et al. Spatiotemporal Analysis of MODIS NDVI in the Semi-Arid Region of Kurdistan (Iran)[J],2019,11(14).
APA Gholamnia, Mehdi,Khandan, Reza,Bonafoni, Stefania,&Sadeghi, Ali.(2019).Spatiotemporal Analysis of MODIS NDVI in the Semi-Arid Region of Kurdistan (Iran).REMOTE SENSING,11(14).
MLA Gholamnia, Mehdi,et al."Spatiotemporal Analysis of MODIS NDVI in the Semi-Arid Region of Kurdistan (Iran)".REMOTE SENSING 11.14(2019).
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