Analysis of Drought using NDVI and Land Surface Temperature derived indices- a Case Study of Sangareddy District

Author: Rachana V., Sahithi P., Ramya N., Prasanna P., Hari Prasad and Radha Srivalli

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Abstract

Drought is one of the natural hazards characterized by shortage of water supply due to irregularities in the rainfall and increase in temperature rate that ultimately declines the moisture content and productivity of crops. The agriculture sector gets severely affected by these droughts impacting the livelihood of people depending on it. The present study was undertaken to estimate agriculture drought in Kandi mandal, Sangareddy district using geospatial techniques. The assessment of drought is done using indices NDVI (Normalized difference vegetation index), LST (land surface temperature), TCI (Temperature condition index), VCI (Vegetative condition index) & VHI (Vegetation condition index) for drought and normal year. The drought severity was triggered out in 2015-2016 due to the decreasing trend of vegetation identified from Normalized Difference Vegetation Index (NDVI). It was also noticed that both NDVI and LST values are inversely proportional to each other in both drought and normal year. When the temperature is more, the NDVI value found to be lesser which represents decrease in the vegetation density. The overall health of vegetation during drought and normal year monitored using Vegetation Health Index (VHI). The seasonal agricultural drought severity map block wise provides an overall idea of drought risk will help in planning the cropping pattern.

Keywords

Agriculture drought, Geospatial techniques, NDVI, LST, VHI

Conclusion

The objective of the work was to study agriculture drought based on remote sensing indices. The obtained area under drought from VCI, TCI was analysed for its merits and demerits. It is observed that VCI which is solely depending on vegetation index gives low values in December due to the presence of cloud cover. Similarly, TCI gives high values in February misinterpreting harvested areas as drought and over predicts. A combined approach of VCI and TCI was used to better understand and map the drought affected areas. From the generated results it was found that 12% of the total area suffered with drought in December 2016 and 84% in February 2016; mild drought observed in non drought year for both the months. Further investigations need to be done block wise for drought affected sites, available water resources and cropping pattern which will help farmers to overcome drought situations.

References

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How to cite this article

Rachana V., Sahithi P., Ramya N., Prasanna P., Hari Prasad and Radha Srivalli (2022). Analysis of Drought using NDVI and Land Surface Temperature derived indices- a Case Study of Sangareddy District. Biological Forum – An International Journal, 14(4): 938-943.