Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/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
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ISSN | 2072-4292 |
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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