Advanced Erosion Mapping fusing GIS and Neural Networks - Softcover

Mishra, Kartikeya; Arya, Nainik; Tiwari, H.L.

Softcover

ISBN 10: 6208425263 ISBN 13: 9786208425265

Verlag: LAP LAMBERT Academic Publishing, 2025

Inhaltsangabe

Soil erosion, a significant environmental challenge, results from the displacement of the upper soil layer by agents such as water, wind, and human activity. This phenomenon not only diminishes soil fertility and agricultural productivity but also affects water quality and ecosystem stability. This book effectively describes the assessment and management of soil erosion by integrating Geographic Information Systems (GIS) and Artificial Neural Networks (ANN) as a powerful approach. GIS facilitates the spatial analysis and visualization of erosion patterns across extensive areas, utilizing diverse data sources like satellite imagery, soil attributes, and topographical details. ANN, with its machine learning capabilities, predicts soil erosion by identifying intricate patterns and relationships within the data. By leveraging the strengths of GIS and ANN, researchers can develop precise and comprehensive soil erosion models, enhancing decision-making for sustainable land management and soil conservation efforts.

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Über die Autorin bzw. den Autor

Kartikeya Mishra completed his M.Tech from MANIT Bhopal and is currently pursuing his Ph.D. from the same institution. He has three years of research experience and has published more than five research papers. He works in the area of Hydraulics and Water Resources, particularly in Erosion and Sedimentation.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 10: 6208425263
• ISBN 13: 9786208425265
• Einband: Taschenbuch
• Anzahl der Seiten: 72
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: SIA OmniScriptum Publishing; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland