Desertification in western Rajasthan (India): an assessment using remote sensing derived rain-use efficiency and residual trend methods
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- 作者：Arnab Kundu ; N. R. Patel ; S. K. Saha ; Dipanwita Dutta
- 关键词：Desertification ; Vegetation dynamics ; NDVI ; RUE ; RESTREND
- 刊名：Natural Hazards
- 出版年：2017
- 出版时间：March 2017
- 年：2017
- 卷：86
- 期：1
- 页码：297-313
- 全文大小：
- 刊物类别：Earth and Environmental Science
- 刊物主题：Natural Hazards; Hydrogeology; Geophysics/Geodesy; Geotechnical Engineering & Applied Earth Sciences; Civil Engineering; Environmental Management;
- 出版者：Springer Netherlands
- ISSN：1573-0840
- 卷排序：86
文摘
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.