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 nowadays geospatial big data technologies
Explains data standards, equipment used, possible analyzes and the importance of error evaluation for scientific surveying
Discusses different scales of landscapes and bring together the experiences of leading experts in the field
