Global warming threatens the hydrological cycle, resulting in parched dry season and inferable from its serious impact on profitability of downpour sustained crops. Drought is considered to be one of the most complex natural hazards, affecting large community of people. The effect of drought can be minimized when the decision makers are equipped with suitable data regarding the spatiotemporal information of crop. A study has been conducted in Durg district of Upper Seonath sub-basin of Chhattisgarh state for assessing agricultural drought. Present study involved identification of drought characteristics using Standardized Precipitation Index (SPI). NDVI data (NOAA AVHRR) were utilized to assess drought based on inadequacy of soil moisture and rainfall. Rainfall records have been utilized in preparing maps for drought affected areas using integrated approach of SPI and Geographic Information System (GIS). The analysis of rainfall records indicated that extreme drought events had occurred in year 2000 and 2002. The most critical year being 2002 with more than 60% of area under dry condition. RAI is used to compare SPI results, which shows strong correlation (R2 > 0.95) between them. This study investigates potential use of VCI by examining its affects to paddy yield during drought year. So as to approve the VCI results, the relationship among yield productivity and VCI for chief unirrigated crops was plotted indicating good relationship (R2 > 0.62) among each other. The outcome of this study could be an essential step toward addressing the issue of drought vulnerability and can be used as a guide for the proper utilization of reservoirs in the study area.

中文翻译：

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使用遥感和基于 GIS 的指数评估恰蒂斯加尔邦（印度）上 Seonath 子流域的农业干旱

全球变暖威胁到水文循环，导致干旱的旱季，从它对持续倾盆大雨的作物盈利能力的严重影响可以推断出。干旱被认为是最复杂的自然灾害之一，影响着大量的人群。当决策者配备有关作物时空信息的合适数据时，干旱的影响可以最小化。在 Chhattisgarh 州 Upper Seonath 子流域的 Durg 区进行了一项评估农业干旱的研究。目前的研究涉及使用标准化降水指数 (SPI) 识别干旱特征。NDVI 数据 (NOAA AVHRR) 用于根据土壤水分和降雨量不足来评估干旱。降雨记录已被用于使用 SPI 和地理信息系统 (GIS) 的综合方法为受干旱影响的地区绘制地图。降雨记录分析表明，极端干旱事件发生在2000年和2002年，最关键的年份是2002年，60%以上的地区处于干旱状态。RAI 用于比较 SPI 结果，表明它们之间具有很强的相关性（R2 > 0.95）。本研究通过检查 VCI 在干旱年份对水稻产量的影响来调查 VCI 的潜在用途。为了验证 VCI 结果，绘制了主要未灌溉作物的产量生产力和 VCI 之间的关系，表明它们之间的关系良好（R2 > 0.62）。