Marcelo de Carvalho Alves, Luciana Sanches

eBook, PDF

Surveying with Geomatics and R (eBook, PDF)

Beschreibung

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

Technische Details

• Geräte: PC
• mit Kopierschutz

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• Keine oder unzureichende Informationen zur Barrierefreiheit

Autor

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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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 410
• Erscheinungstermin: 3. Februar 2022
• Englisch
• ISBN-13: 9781000522204
• Artikelnr.: 63272114