Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Environmental Monitoring with Integrated Earth Observation Data and Machine Learning

Environmental Monitoring with Integrated Earth Observation Data and Machine Learning

Goyal, Manish Kumar
Roy, Srija

Hardcover

Series: Studies in Computational Intelligence, Book 1278

Technology & EngineeringGeneral ComputersProbability & Statistics

ISBN10: 3032199344
ISBN13: 9783032199348
Publisher: Springer
Published: May 15 2026
Pages: 84
Weight: 0.68
Height: 0.47 Width: 6.47 Depth: 9.31
Language: English
This book offers practical insights for researchers and policymakers to demonstrate how EO and ML can strengthen environmental monitoring to support informed decision-making, and advance sustainable development. The Earth faces rising challenges like climate instability, land degradation, water scarcity, rapid urban expansion, etc., making reliable environmental monitoring imperative. Traditional methods lack the precision and scale required for global environmental monitoring. However, advances in Earth Observation (EO) and Machine Learning (ML) enable accurate, large-scale environmental monitoring through accessible open-source datasets. Further ML integration with these datasets supports predictive analysis and detailed environmental assessments. Thus, this book outlines the principles of EO, data management, ML integration, and applies them through a case study of the Narmada River Basin, India to examine land use, pollution, and the overall environmental conditions.

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