Groundwater Depletion and Sustainability: A Methodology Utilizing Artificial Intelligence and Earth Observation Systems: Volume Two (Advances in Geographic Information Science)
Groundwater Depletion and Sustainability : A Methodology Utilizing Artificial Intelligence and Earth Observation Systems: Volume Two
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Groundwater Depletion and Sustainability: A Methodology Utilizing Artificial Intelligence and Earth Observation Systems: Volume Two (Advances in Geographic Information Science)
Overall Rating: 2.4 / 5 (average from multiple review sources, as of 9 Apr 2026)
Based on a total of 46,120 customer reviews from independent review platforms.
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Based on a total of 46,120 customer reviews from independent review platforms.
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This title will be released on April 25, 2026. Pre-order now. Express Delivery available with Amazon Prime.
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Groundwater Depletion and Sustainability : A Methodology Utilizing Artificial Intelligence and Earth Observation Systems: Volume Two - Details
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Groundwater Depletion and Sustainability: A Methodology Utilizing Artificial Intelligence and Earth Observation Systems (Advances in Geographic Information Science)
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This contributed volume, the second in a set of two, details how Artificial Intelligence (AI) and Earth observation systems can effectively improve the prediction of groundwater quality and support decision-making in arid and semi-arid regions.Earth observation systems, including remote sensing and geographic information systems (GIS), play a crucial role in assessing and monitoring groundwater quality.Remote sensing data, such as satellite imagery, can provide valuable information on land cover, vegetation indices, and water quality parameters.GIS tools enable the spatial analysis and visualization of groundwater quality data. AI and Earth observation-based methods support effective water resource management by identifying suitable areas for artificial groundwater recharge (AGR) and assessing the impact of pollution on water resources.These techniques help formulate conservation policies and sustainable water management strategies.Various AI techniques, including ANN, SVM, KNN, and de
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