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{ "item_title" : "Geoinformatics for Spatial-Infrastructure Development in Earth & Allied Sciences", "item_author" : [" Van Anh Tran", "Long Quoc Nguyen", "Xuan Truong Tran "], "item_description" : "The volume gathers the proceedings of the 13th International Conference on GeoInformatics for Spatial-Infrastructure Development in Earth & Allied Sciences (GIS-IDEAS), held in Hanoi, Vietnam, on September 24-27, 2026. This book discusses the latest advances and applications in geospatial technologies and earth resources for mine surveying and civil engineering. It also discusses mineral resources management and assesses many techniques such as unmanned aerial vehicles/drones, ground-penetrating radar, geographic information system (GIS) and GIS-based machine learning. Given its breadth of coverage, the book will appeal to scientists in the field as well as professionals interested in related technological applications. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/239/469/3032394694_b.jpg", "price_data" : { "retail_price" : "299.99", "online_price" : "299.99", "our_price" : "299.99", "club_price" : "299.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Geoinformatics for Spatial-Infrastructure Development in Earth & Allied Sciences|Van Anh Tran

Geoinformatics for Spatial-Infrastructure Development in Earth & Allied Sciences : Gis-Ideas 2026

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Overview

The volume gathers the proceedings of the 13th International Conference on GeoInformatics for Spatial-Infrastructure Development in Earth & Allied Sciences (GIS-IDEAS), held in Hanoi, Vietnam, on September 24-27, 2026. This book discusses the latest advances and applications in geospatial technologies and earth resources for mine surveying and civil engineering. It also discusses mineral resources management and assesses many techniques such as unmanned aerial vehicles/drones, ground-penetrating radar, geographic information system (GIS) and GIS-based machine learning. Given its breadth of coverage, the book will appeal to scientists in the field as well as professionals interested in related technological applications.

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Details

  • ISBN-13: 9783032394699
  • ISBN-10: 3032394694
  • Publisher: Springer
  • Publish Date: September 2026
  • Dimensions: 9.21 x 6.14 x 1.44 inches
  • Shipping Weight: 2.51 pounds
  • Page Count: 678

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