A growing number of Earth Observation sensors provide useful information to monitor the crop condition from space. NDVI is the most popular vegetation index and it represents the photosynthetic capacity of vegetation. The number of agricultural drought indices calculates by comparing the NDVI of time of observation with the Long term NDVI values and called as “multi-temporal agricultural drought indices” in this study. Some are developed using only the data of the time of observation and no time-series data required, therefore called “non-temporal agricultural drought indices”. This study analyzed multi-temporal and non-temporal drought indices calculated using NDVI, Normalized Difference Water Index (NDWI), and Land Surface Temperature (LST). This study observed that the NDWI Anomaly and Vegetation water condition Index (VWCI) shows a considerable relationship with SPI and rainfall. Also, this study identified that the false drought conditions can be seen in multi-temporal drought indices, due to the changes of the time of the start of the season and suggested a method to overcome such errors in a heavily dynamic climatic areas. The new approach is called “Enhanced multi-temporal agricultural drought indices”.

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Journal of Remote Sensing & GIS
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