Long period data and information indicate that India faced number of droughts-like situation from colonial period. A number of indices have been developed nationally and internationally to monitor agricultural drought based on remote sensing; however, to predict the onset of agricultural drought and its evolution and monitoring in time and space in a more efficient way qualitatively, Combined Drought Index (CDI) has been developed using meteorological, land based and remote sensing observations. In this study, an effort has been made to monitor agricultural drought based on exploitation of new data, methodologies and metrics that would aid the experts to make best judgments of regional-scale drought conditions through CDI using geospatial technology. The present study has been carried out for three consecutive years of 2014, 2015 and 2016 in five states (Andhra Pradesh, Chhattisgarh, Haryana, Maharashtra and Telangana) in India at district level for southwest monsoon season when rainfed kharif crops are grown extensively across the above-mentioned states in India. CDI gives a synthetic and synoptic overview of the drought situations using a classification scheme derived from various individual indices as it has been developed to combine the strength of various indices.

中文翻译：

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使用印度综合干旱指数监测农业干旱

长期的数据和信息表明，印度从殖民时期就面临着类似干旱的局面。国内外已经制定了许多指数来监测基于遥感的农业干旱；但是，为了更有效地定性地预测农业干旱的发生及其在时间和空间上的演变和监测，已使用气象，陆基和遥感观测方法开发了综合干旱指数（CDI）。在这项研究中，已经基于新数据，新方法和新度量的使用来监控农业干旱，这将有助于专家们使用地理空间技术通过CDI对区域规模的干旱状况做出最佳判断。本研究已连续进行了2014年，2015年和2016年，在印度的五个州（安得拉邦，恰蒂斯加尔邦，哈里亚纳邦，马哈拉施特拉邦和特兰甘纳邦）在西南季风季节的地区一级，上述印度各州广泛种植雨养的卡里夫作物。CDI使用从各种单独指标得出的分类方案，对干旱情况进行了综合和概要介绍，因为它已被开发为结合各种指标的强度。