SENTINEL-1&2 FOR NEAR REAL TIME CROPPING PATTERN MONITORING IN DROUGHT PRONE AREAS. APPLICATION TO IRRIGATION WATER NEEDS IN TELANGANA, SOUTH-INDIA

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2. Climate change and irrigation expansion in Northwest Minas Gerais, Brazil: the need for hydroclimatic monitoring M. Ferreira et al. 10.1007/s13762-024-05994-x
3. A Review of Irrigation Information Retrievals from Space and Their Utility for Users C. Massari et al. 10.3390/rs13204112
4. Monitoring Indian ungauged small reservoirs volume from remote sensing: Feasibility, bias and perspectives C. Pascal et al. 10.1371/journal.pwat.0000260
5. Long term monitoring of rainwater harvesting tanks: Is multi‐years management possible in crystalline South Indian aquifers? A. Boisson et al. 10.1002/hyp.14759
6. Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP S. Modanesi et al. 10.5194/hess-26-4685-2022
7. Leveraging Sentinel-2 Data and Machine Learning for Drought Detection in India: The Process of Ground Truth Construction and a Case Study S. Sharma et al. 10.3390/rs17183159