{"product_id":"methodology-for-processing-raw-lidar-data-to-support-urban-flood-modelling-framework-taylor-francis-ltd-9780415624756-unesco-ihe-phd-thesis-ahmad-fikri-bin-abdullah","title":"Methodology for Processing Raw LIDAR Data to Support Urban Flood Modelling Framework","description":"\u003cp\u003eDiscover the innovative techniques in \"Methodology for Processing Raw LIDAR Data to Support Urban Flood Modelling Framework\" by Ahmad Fikri Bin Abdullah. Published by Taylor \u0026amp; Francis Ltd in 2012, this insightful paperback spans 214 pages and explores the enhancement of the Progressive Morphological filtering algorithm tailored for processing raw LiDAR data. This book is essential for researchers and professionals in urban planning and environmental management, offering a robust framework for 1D\/2D urban flood modelling. Key features of the improved algorithm include its capacity to effectively handle various types of buildings and its proficiency in detecting elevated road and rail lines. Whether you're a student, researcher, or practitioner, this book provides valuable insights to enhance your understanding of urban flood dynamics and the critical role of LiDAR data in effective flood management.\u003c\/p\u003e","brand":"Ahmad Fikri Bin Abdullah","offers":[{"title":"Default Title","offer_id":52235579162966,"sku":"9780415624756","price":100.63,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0886\/3206\/6390\/files\/9780415624756.jpg?v=1767755701","url":"https:\/\/www.bookshop.ee\/products\/methodology-for-processing-raw-lidar-data-to-support-urban-flood-modelling-framework-taylor-francis-ltd-9780415624756-unesco-ihe-phd-thesis-ahmad-fikri-bin-abdullah","provider":"Bookshop","version":"1.0","type":"link"}