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Surveying with Geomatics and R

Surveying with Geomatics and R


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About the Book

Surveying with Geomatics and R

This book explains basic concepts of surveying science and techniques with geomatics using R software and R packages. It engages students in learning about surveying through real field examples and using differing degrees of complexity while exploring surveying problems based on field observations and advanced geospatial technology. It includes a wide range of case studies as hands-on and self-paced tutorials along with detailed computer programming routines that are linked to the theories and applications explained in each chapter. This innovative textbook also teaches how to explore other possibilities of using geomatics in geocomputation, remote sensing, geography and cartography courses focused on surveying tasks.

Features include:

  • Provides modern surveying practices with free software algorithm and R toolset for active learning
  • Includes case studies from different geographical areas using arbitrary and international cartographic reference systems
  • Enables and demonstrates the integration of traditional geomatics with modern geospatial big data technologies
  • Explains data standards, equipment used, possible analyses and the importance of error evaluation for scientific surveying
  • Discusses different scales of landscapes and brings together the experiences of leading experts in the field

  • About the Author:

    Marcelo de Carvalho Alves

    Dr. Marcelo de Carvalho Alves is associate professor at the Federal University de Lavras, Brazil.

    His education included graduation (2001), master (2003), doctoral in Agronomy, thesis in Crop

    Sciences (2006) and a Post-Doctoral in Agricultural Engineering in Federal University of Lavras,

    Brazil (2008). He has varied research interests and has published on surveying, remote sensing,

    geocomputation and agriculture applications. He has over 20 years of extensive experience in data

    science, digital image processing and modeling using multiscale, multidisciplinary, multispectral

    and multitemporal concepts applied to different environments. Experimental field-sites included

    a tropical forest, savanna, wetland, and agricultural fields in Brazil. His research has been predominantly

    funded by CNPq, CAPES, FAPEMIG and FAPEMAT. Over the years, he has built

    up a large portfolio of research grants mostly relating to applied and theoretical remote sensing,

    broadly in the context of vegetation cover, plant diseases and related impacts of climate changes.

    Luciana Sanches

    Dr. Luciana Sanches graduated in Sanitary Engineering from the Federal University of Mato

    Grosso (1996), master in Sanitation, Environment and Water Resources from the Federal University

    of Minas Gerais (1998), PhD in Road Engineering, Hydraulic Channels and Ports, Universidad

    de Cantabria, Spain (2002), Post-doctorate in Environmental Physics (2007) and, Post-doctorate

    in Environmental Sciences from the University of Reading, United Kingdom (2014). She did specialization

    in Workplace Safety Engineering (2018), Specialization in Project Development and

    Management for Municipal Water Resources Management by the National Water Agency (2018).

    She is currently associate professor at the Federal University of Mato Grosso, Brazil, acting in

    more than 20 years in research on atmosphere biosphere interaction, hydrometeorological in several

    temporal-spatial scales with interpretation based on in environmental modeling and remote

    sensing such as a support tools for results analyses. She has been applying geomatics in teaching

    and research activities to support the interpretation of environmental dynamics coupled to the

    terrain.

    v


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Product Details
  • ISBN-13: 9781032015033
  • Publisher: Taylor & Francis
  • Publisher Imprint: CRC Press
  • Height: 254 mm
  • No of Pages: 400
  • Spine Width: 24 mm
  • Width: 178 mm
  • ISBN-10: 1032015039
  • Publisher Date: 23 Jan 2022
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Weight: 979 gr


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