MONITORING OF AGRICULTURAL DROUGHT USING FORTNIGHTLY VARIATION OF VEGETATION CONDITION INDEX (VCI) FOR THE STATE OF TAMIL NADU, INDIA

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2. Monitoring and forecasting agricultural drought in Golestan Province, Iran (2001–2028): an integrated approach using remote sensing and machine learning M. Jahanbakhsh & M. Akhoondzadeh https://doi.org/10.1016/j.asr.2025.11.113
3. Spatial-temporal patterns of agricultural drought severity in the Lake Urmia Basin, Iran: A cloud-based integration of multi-temporal and multi-sensor remote sensing data F. Javan et al. https://doi.org/10.30493/das.2025.486806
4. Multiple indices based drought analysis by using long term climatic variables over a part of Koel river basin, India S. Chaudhary & A. Pandey https://doi.org/10.1007/s41324-019-00287-9
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