Application of meteorological and vegetation indices for evaluation of drought impact: a case study for Rajasthan, India

被引：0

作者：

Sanjay K. Jain

Ravish Keshri

Ajanta Goswami

Archana Sarkar

机构：

[1] National Institute of Hydrology,

[2] College of Technology and Engineering,undefined

[3] Indian Institute of Technology,undefined

来源：

Natural Hazards | 2010年 / 54卷

关键词：

Drought; Standardized precipitation index (SPI); Normalized difference vegetation index (NDVI); Water supply vegetation index (WSVI); Vegetation condition index (VCI); National oceanic atmospheric administration (NOAA);

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Drought is a serious climatic condition that affects nearly all climatic zones worldwide, with semi-arid regions being especially susceptible to drought conditions because of their low annual precipitation and sensitivity to climate changes. Drought indices such as the standardized precipitation index (SPI) using meteorological data and vegetation indices from satellite data were developed for quantifying drought conditions. Remote sensing of semi-arid vegetation can provide vegetation indices which can be used to link drought conditions when correlated with various meteorological data based drought indices. The present study was carried out for drought monitoring for three districts namely Bhilwara, Kota and Udaipur of Rajasthan state in India using SPI, normalized difference vegetation index (NDVI), water supply vegetation index (WSVI) and vegetation condition index (VCI) derived from the Advanced Very High resolution Radiometer (AVHRR). The SPI was computed at different time scales of 1, 2, 3, 6, 9 and 12 months using monthly rainfall data. The NDVI and WSVI were correlated to the SPI and it was observed that for the three stations, the correlation coefficient was high for different time scales. Bhilwara district having the best correlation for the 9-month time scale shows late response while Kota district having the best correlation for 1-month shows fast response. On the basis of the SPI analysis, it was found that the area was worst affected by drought in the year 2002. This was validated on the basis of NDVI, WSVI and VCI. The study clearly shows that integrated analysis of ground measured data and satellite data has a great potential in drought monitoring.

引用

页码：643 / 656

页数：13

共 67 条

[1]

Alley WM(1985)The Palmer Drought Severity Index as a measure of hydrological drought Water Resour Bull 21 105-114

[2]

Anyamba A(2005)Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981–2003 J Arid Environ 63 596-614

[3]

Tucker CJ(1980)Large scale droughts/floods and monsoon circulation Mon Wea Rev 108 1197-1211

[4]

Bhalme HN(2004)Assessment of impact of drought- 2002 on the production of major kharif and rabi crops using standardized precipitation index J Agrometeorology 6 10-15

[5]

Mooley DA(1994)“The influence of soil type on the relationships between NDVI, rainfall and soil moisture in semiarid Botswana II:NDVI response to soil moisture Remote Sens Environ 50 121-133

[6]

Chaudhari KN(1991)Estimating foliage and woody biomass in Sahelian and Sudanian woodlands using a remote sensing model Int J Remote Sens 12 1387-1404

[7]

Dadhwal VK(1990)Towards monitoring drought from space J Climate 3 282-295

[8]

Farrar TJ(1999)Monitoring the 1996 drought using SPI Bull Am Meteorol Soc 80 429-438

[9]

Nicholson SE(1986)Growing period and drought early warning in African using satellite data Int J Remote Sens 11 1608-1853

[10]

Lare AR(2009)Identification of drought-vulnerable areas using NOAA AVHRR data Int J Remote Sen 1366-5901 2653-2668

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