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Normalization of Modified Perpendicular Drought Index using LTDR and GIMMS Dataset for Drought Assessment in the United States

Recently, simple methods for real-time surface dryness estimation - perpendicular drought indices based on red and near-infrared wavelengths of satellite data has been developed. In this paper, the normalized form of the method is proposed to assess droughts over U.S. great plains using long term records of the Advanced Very High Resolution Radiometer (AVHRR) from both Land Long Term Data Record (LTDR) and the Global Inventory Modeling and Mapping Studies (GIMMS) dataset.