Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s11069-016-2689-y |
Desertification in western Rajasthan (India): an assessment using remote sensing derived rain-use efficiency and residual trend methods | |
Kundu, Arnab1,2; Patel, N. R.3; Saha, S. K.4; Dutta, Dipanwita5 | |
通讯作者 | Dutta, Dipanwita |
来源期刊 | NATURAL HAZARDS
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ISSN | 0921-030X |
EISSN | 1573-0840 |
出版年 | 2017 |
卷号 | 86期号:1页码:297-313 |
英文摘要 | Owing to its impact on global ecosystem, climate change and related effects is being perceived as a serious issue worldwide especially in the arid and semi-arid regions. Climatic variability has been considered as a major cause for degradation of natural resources. Desertification caused by climatic or human-induced processes negatively affects the productivity of land within an ecosystem. It is noteworthy that depletion of vegetation cover plays a key role in land degradation; in fact reduction in plants and perennial cover is regarded as an indicator of the onset of desertification. Temporal analysis of satellite-based NDVI is one of the major remote sensing tools which can identify the depletion of vegetation cover. In the present study, rain-use efficiency (RUE) method has been used for monitoring vegetation degradation and, substantially, the process of desertification in western Rajasthan. RUE, the ratio between normalized growing season NDVI and rainfall, has been calculated for individual years (1983-2013). A correlation analysis was carried out by considering yearly RUE as dependent variable and time (years) as the independent variable. It shows that regression slope of RUE mainly depends upon the dynamic condition of integrated NDVI and rainfall. In order to monitor the areas under human-induced desertification, the residual trend method has been adopted. The correlation between rainfall and NDVI was found significant (p < 0.05) except some portion in the middle east. The study reveals that about 35% of the total area has experienced high human-induced desertification process. |
英文关键词 | Desertification Vegetation dynamics NDVI RUE RESTREND |
类型 | Article |
语种 | 英语 |
国家 | India |
收录类别 | SCI-E |
WOS记录号 | WOS:000394327500015 |
WOS关键词 | DIFFERENCE VEGETATION INDEX ; LAND DEGRADATION ; TIME-SERIES ; AFRICAN SAHEL ; EAST-AFRICA ; NOAA-AVHRR ; NDVI DATA ; VARIABILITY ; DYNAMICS ; DROUGHT |
WOS类目 | Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources |
WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences ; Water Resources |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/201198 |
作者单位 | 1.Sam Higginbottom Inst Agr Technol & Sci, Dept Soil Water Land Engn & Management, Allahabad, Uttar Pradesh, India; 2.Univ Allahabad, Ctr Atmosphere Ocean & Space Studies, Allahabad, Uttar Pradesh, India; 3.Indian Space Res Org, Indian Inst Remote Sensing, Dehra Dun, Uttarakhand, India; 4.Ctr Space Sci & Technol Educ Asia & Pacific, Dehra Dun, Uttarakhand, India; 5.Vidyasagar Univ, Dept Remote Sensing & GIS, Midnapore, W Bengal, India |
推荐引用方式 GB/T 7714 | Kundu, Arnab,Patel, N. R.,Saha, S. K.,et al. Desertification in western Rajasthan (India): an assessment using remote sensing derived rain-use efficiency and residual trend methods[J],2017,86(1):297-313. |
APA | Kundu, Arnab,Patel, N. R.,Saha, S. K.,&Dutta, Dipanwita.(2017).Desertification in western Rajasthan (India): an assessment using remote sensing derived rain-use efficiency and residual trend methods.NATURAL HAZARDS,86(1),297-313. |
MLA | Kundu, Arnab,et al."Desertification in western Rajasthan (India): an assessment using remote sensing derived rain-use efficiency and residual trend methods".NATURAL HAZARDS 86.1(2017):297-313. |
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