Workshops

Description

Python is an easy-to-use high-level programming language, which by being closer to the rules of human language, it permits the fast learning by beginners. It is an open-source language, having available a vast number of libraries and tools. It is also integrated into the most popular GIS software, such as ArcGIS and QGIS. For these reasons, it is a valuable computing tool for the analysis of spatial and non-spatial data.

This workshop is aiming to familiarize the participants with this language and its use in a GIS environment.

The workshop is divided in three sessions:

1^st session: Introduction to programming with Python. Basic concepts and syntax (duration 45’)

2^nd session: Presentation of libraries used for data handling and analysis (i.e. Scipy, Numpy, Pandas, Matplotlib, rasterio …) (duration 45’)

3^rd session: Familiarization with Python in GIS environment (duration 45’)

During the workshop, participants may use either the lab’s computers or their own, on which they will be able to execute Python’s commands simultaneously with the instructor.

Description

During the workshop, there will be presented the possibilities of managing, analysing and visualizing geospatial data with the R language in an RStudio environment.

The brief outline of the workshop is:

1. Introduction to RStudio.
2. Brief presentation of the main packages of R that manage geospatial data.
3. Download data from large open atmospheric / environmental databases. Data management, calculation of environmental indicators.
4. Output, reporting and visualization.

The educational process will be supported by a ready-made code available to the participants and by a code that will be structured step by step during the workshop.

Description

The workshop aims to familiarize the participants with:

• The basic principles of Carlson’s trophic status indicators (TSI).
• The basic principles of Remote Sensing required for the identification and selection of satellite images.
• The automated extraction of chlorophyll-α concentrations, total phosphorus and Secchi depths values ​​in lakes.
• The automated assessment of lakes trophic status.

The applications will be implemented in Google Earth Engine (GEE) environment and concern lakes of the Territory.

Description

The topics that will be covered are the following:

• Spatial Data – Presentation of available solutions
• Google Earth
  • Preparation of kml, kmz data.
  • Convert data to kmz.
  • Import data into Google Earth.
  • Familiarity with the Google Earth environment.
  • Processing and collection of data in the field.
  • Data synchronization.
• Working in the Field
  • Navigation, orientation, display, retrieval of data information in the field.
  • Collection of data in the field, introduction of spatial, descriptive information, taking photos with spatial information.
  • Modification of data in the field, change of spatial, descriptive information.
  • Data synchronization.

Participants should be familiar with basic concepts of GIS software.

Description

The workshop will cover the following units:

• UAS and their applications in Agriculture
  • UAS features and types
  • Electromagnetic wave recording sensors
  • Examples of UAV applications in Agriculture
• Introduction to Remote Sensing
  • The electromagnetic spectrum and interactions with various materials
  • Vegetation Indices
• UAV flight in the field and calculation of vegetation indices in GIS environment
  • Flight to the vineyard of Agricultural University of Athens
  • Data processing
  • Vegetation mapping and calculation of vegetation indices
    

Case Study will be the vineyard in the Agricultural University of Athens.

The aim is that the trainees will:

• Know UAS basics
• Know the capabilities of recording, processing and analysing UAS information
• Understand the behaviour of vegetation at different wavelengths
• Gain UAS implementation experience in Agriculture

Description

Workshop will be an introduction to the theory and practice of technologies used for the development of web mapping applications.

Contents

Part I: Theory principles

• Internet & World Wide Web
• Web maps
• WebGIS
• Geospatial Web Services

Part II: Introducing Web Technologies

• ΗyperText Markup Language (HTML)
• Cascading Style Sheets (CSS)
• JavaScript
• JSON & GeoJSON formats
• Visualization and processing of geospatial data using JavaScript libraries

Part III: Web map development

Participants will get familiarized with web technologies by developing a web map that will represent recycling spots of Agricultural University of Athens campus. As part of this exercise, they will use and modify preexisting source code sections following the instructor’s guidance.

Prerequisite knowledge: Participants to benefit from the workshops should have a prior exposure to programming and/or web design.

Description

The topics that will be presented, will be developed step by step through examples, which will be performed simultaneously by the lecturers and the participating trainees in a geographic information system (ArcGIS) environment.

Indicatively, some of the analyses that will be carried out are the following:

1. Procedures for creating and managing spatial information levels in ArcGIS
2. Vector and raster data spatial processing
3. Exploratory Non-Spatial Data Analysis (Central location measures and dispersion measures, characteristic distribution sizes)
4. Exploratory Spatial Data Analysis – Spatial Statistics and Geostatistical Analyst Visualization
5. Spatial modelling and zoning in ArcGIS and the ModelBuilder environment

Participants should be familiar with basic concepts of GIS software and in particular the ArcGIS Platform, as well as the basic concepts of statistics.