About the
Book:
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. |
Contents:
1. Scientific Applications of Surveying with Geomatics and R
2. Introduction to Measurement Units with Geomatics and R
3. Theory of Measurement Errors with Geomatics and R
4. Angle and Direction Observations with Geomatics and R
5. Direct Distance and Angle Measurements with Geomatics and
R
6. Stadia Indirect Measurements with Geomatics and R
7. Electronic Distance and Level Measurements with Geomatics
and R
8. Radial Traverse Survey with Geomatics and R
9. Coordinate Geometry of Closed-path Traverse Surveying
with Geomatics and R
10. Coordinate Geometry of Intersection Surveying with
Geomatics and R
11. Traverse Area Evaluation and Surveying Memorial with
Geomatics and R
12. Coordinate Reference Systems for Geodetic Surveying with
Geomatics and R
13. Cartographic Coordinate Projection Systems with Geomatics
and R
14. GNSS Surveying with Geomatics
and R |
About the Authors:
Marcelo de Carvalho Alves
Dr. 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. 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 eaching and research activities to support the interpretation of
environmental dynamics coupled to the terrain. |