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This study investigates the use of remote sensing to monitor irrigated paddy rice in the Ca River Basin of Vietnam, focusing on improving irrigation efficiency and drought resilience. By employing the Normalized Difference Vegetation Index (NDVI) from MODIS, the research demonstrates a high accuracy in identifying irrigated areas, validated by a Pearson correlation of 0.7 with measured water levels. The findings emphasize the necessity of integrating remote sensing technologies for effective water resource

Author

sriletsoin03

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EN