
Advanced Erosion Mapping fusing GIS and Neural Networks
LAP Lambert Academic Publishing
Published on 28. February 2025
Book
Paperback/Softback
72 pages
978-620-8-42526-5 (ISBN)
Description
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.
More details
Language
English
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 5 mm
Weight
125 gr
ISBN-13
978-620-8-42526-5 (9786208425265)
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Schweitzer Classification
Persons
Kartikeya Mishra uko¿czy¿ studia magisterskie na MANIT Bhopal, a obecnie kontynuuje studia doktoranckie na tej samej uczelni. Ma trzyletnie do¿wiadczenie badawcze i opublikowä ponad pi¿¿ artyku¿ów naukowych. Zajmuje si¿ hydraulik¿ i zasobami wodnymi, w szczególno¿ci erozj¿ i sedymentacj¿.