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
Author Biography:
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.
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