Arid
DOI10.1007/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
ISSN0921-030X
EISSN1573-0840
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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