Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s10661-023-11195-9 |
Monitoring land cover changes and droughts using statistical analysis and multi-sensor remote sensing data | |
Heidari, Sousan; Shamsipour, Aliakbar; Kakroodi, A. A.; Bazgeer, Saeed | |
通讯作者 | Kakroodi, AA |
来源期刊 | ENVIRONMENTAL MONITORING AND ASSESSMENT
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ISSN | 0167-6369 |
EISSN | 1573-2959 |
出版年 | 2023 |
卷号 | 195期号:5 |
英文摘要 | Climate change is of paramount importance for ecosystems, especially in arid and semi-arid areas. The major aim of the current study is to monitor vegetation and land use changes, and run drought assessment using field and satellite data. The main precipitation proportions in the studied region are influenced by the Westerlies, meaning that any variations in these precipitation systems significantly impact the region. The utilized data entailed MODIS images for 16- and 8-day intervals between 2000 and 2013, TM and OLI sensor images recorded in 1985 and 2013, precipitation network data of TRMM satellite between 2000 and 2013, and synoptic data 32-year period. The Mann-Kendall (MK) test was used to monitor temporal changes in meteorological station data in annual and seasonal scales. The results indicated that there was a downward trend in 50% of the meteorological stations in the annual scale. This falling trend was statistically significant at the level of 95%. At the end, drought was assessed using PCI, APCI, VSWI, and NVSWI. The results showed that vegetation, forest, pasture, and agriculture areas recorded the strongest correlations with initial precipitation at the beginning of the study. Based on interactions among various factors influencing vegetation indices, reduction in green vegetation, especially the area of oak forests in the studied period, is around 95,744 hectares, which is attributed to lower precipitation rate. Increasing of agricultural land and water zones during the studied years is the result of human management and depends on how surface and underground water resources are exploited. |
英文关键词 | Climate change Land use GIS Forest Kermanshah province |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000984336800005 |
WOS关键词 | VEGETATION DYNAMICS ; SPATIOTEMPORAL ANALYSIS ; MONTHLY PRECIPITATION ; SURFACE TEMPERATURE ; TIBETAN PLATEAU ; CLIMATE-CHANGE ; INDEX ; SATELLITE ; NDVI ; VARIABILITY |
WOS类目 | Environmental Sciences |
WOS研究方向 | Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/396171 |
推荐引用方式 GB/T 7714 | Heidari, Sousan,Shamsipour, Aliakbar,Kakroodi, A. A.,et al. Monitoring land cover changes and droughts using statistical analysis and multi-sensor remote sensing data[J],2023,195(5). |
APA | Heidari, Sousan,Shamsipour, Aliakbar,Kakroodi, A. A.,&Bazgeer, Saeed.(2023).Monitoring land cover changes and droughts using statistical analysis and multi-sensor remote sensing data.ENVIRONMENTAL MONITORING AND ASSESSMENT,195(5). |
MLA | Heidari, Sousan,et al."Monitoring land cover changes and droughts using statistical analysis and multi-sensor remote sensing data".ENVIRONMENTAL MONITORING AND ASSESSMENT 195.5(2023). |
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