Introduction

• Basic Definitions, Components and Functions.

• Different Methods for Data Capture and Preparation.

• GIS Data Formats and Conversions among them.

• Advantages of GIS Principle.

• Capabilities of Used GIS Software.

Capabilities of Used GIS Software •

GIS Data Modeling and Management

• Different Types for GIS Data Modeling.

• Entity Relationships Model.

• Concept of Data Topology.

• The Ways for Data Presentation.

Physical GIS Data Management

• Basic Definitions and Components of Geodatabase.

• Advantages of Geodatabase.

• Different Types of Spatial Data Management.

• Relational Operations of GIS Data within the Geodatabase.

GIS Data Analysis

• Basic Precautions Prior to GIS Data Analysis.

• Different Methods of GIS Data Analysis.

• Multi Criteria Data Analysis.

Advanced Course in Geographic Information Systems (GIS)

• Introduction and concept of Remote Sensing.

• Process of Remote Sensing and remote sensing systems.

• EMR-Atmosphere-Target interaction.

• Types of satellites sand Sensor characteristics.

• Advantages and limitations of remote sensing.

• Basics of Digital Image Processing and Quick start to ENVI software.

• Image preprocessing techniques.

• Applications of Remote Sensing.

Basics of Remote Sensing (RS)

• Mosaicking Multiple Satellite images into one dataset.

• Removing noise from data (MNF). 

• Removing stripping and missing pixels from satellite imagery.

• Spatial resolution enhancement (Data Fusion)

• Advanced mapping methods

• Geological Application (and/or) Environmental Application.

Advanced Remote Sensing (RS)

• Introduction to Remote Sensing and GIS. 

• Advantages of remote sensing and GIS. 

• Getting familiar with ENVI and Arc GIS software’s.

• Opening, preprocessing and processing satellite image data in ENVI.

• Exporting data from ENVI for Arc GIS formats.

• Georeferencing and rectification of scanned maps.

• Creating shapefiles, digitizing and Editing.

• Coding, symbology, and map production.

• Automatic digitizing using Arc Scan.

Integration between Remote Sensing (RS) and GIS

• Meaning and Definitions of Geotechnologies.

• Integration of Geotechnologies.

• Modeling of Geotechnologies.

• Thermal & Microwave Remote Sensing.

• Laser data and Analysis.

• Hyperspectral Remote Sensing.

• Radar Theory and Applications and data analys

• Numerical Weather & Climate Modelling.

• Application in land use and land cover mapping at different levels.

• Application in Geology, Geomorphology, and Mineral resources.

• Application in Environment, and Natural Hazards.

• Application in Water Resources.

Applications of Remote Sensing and Geographic Information System

• Principles of geo-statistical analyses & applications.

• Assessing geospatial techniques (e.g. IDW, kriging).

• Data preparation, exploration.

• Generating surface and assessing outputs.

• Threshold limits identification and assessment.

• Practical application 1 (Water Quality).

• Practical application 2 (Air Quality).

Geostatistical/ Spatial Analysis

• Basics and Definitions of Modelling

• Types of GIS Modelling

• Creating a GIS Model and designing a criteria tree.

• Model criteria and Conditions.

• Binary Overlay models.

• Arithmetic Overlay Modelling.

• Weighted Linear Combination Overlay Modelling.

• Applications of GIS Modelling (suitability mapping).

• Application of GIS modeling in site ranking and selection.

• Sensitivity Analysis.

GIS Modelling

• Definition of Photogrammetry.

• Basics of Aerial & Space Digital Photogrammetry.

• Stereoscopic Viewing.

• Interpretation and Analysis.

• Digital Elevation Models (DEM).

• Air & Space photo mosaics and orthophotos.

• Applications of Aerial & Space Digital Photogrammetry.

• Accuracy Standards for Map Production.

Aerial and Space Digital Photogrammetry

• Main concept of Geodesy.

• Reference coordinate systems used in Geodesy.

• Transformation between Different Coordinate Systems on the same Ellipsoid.

• Mathematical Geodesy.

• Transformation parameters among different models on different ellipsoids.

• Satellite Geodesy and its applications (GPS).

• Map Projection.

• Map classification.

• Geodetic Nets, its Applications and Calculations.

• Geoid determination and its applications.

Survey and GPS

• Introduction to GIS modeling and Python.

• Python and programming basics.

• GIS data access and manipulation with Python.

• Practical Python for the GIS analyst.

GIS Programming

• Advanced Python.

• Building GIS Add-ins.

• Introduction to Standalone GIS Interfaces.

• Spatial SQL.

• Object-oriented programming.

Advanced GIS Programming

• Web Page Basics.

• Web Mapping Basics.

• Getting Started with Google Maps API.

• Info windows – Just one please.

• Evaluating an API for use in a Map room.

• Geospatial web services basics.

• Real-Time map service. Web services optimization, OGC web services standards.

• Mobile GIS.

• Geospatial Mashups Virtual Reality and 3D Cartography.

• The future of Internet GIS(Geospatial Semantic Web, Cloud Computing, etc).

Web GIS

• GIS Information.

• Exploration.

• Database.

• Type of Feature.

• Attributes

• Domain & Subtype

• Georeference.

• Digitizing.

• Symbology.

• Cartography & Style.

• Layout.

Basics of Geographic Information System (ArcGIS pro Software)

• Geoprocessing Tools.

• Model Builder.

• 3D Analysis.

• Hydrology Analysis.

• Data Management Tools.

• Relationship Class.

• Topology.

Advanced of Geographic Information System (ArcGIS pro Software)

• Network Analysis.

• Geostatistical Analysis.

• Raster Analysis.

• Supervised Classification.

• UnSupervised Classification.

Advanced 2 of Geographic Information System (ArcGIS pro Software)

• Intro to ArcGIS Online.

• Sharing contents

• Dashboards.

• Story Map.

• Web app builder

• Survey 123

• Business Analysis.

ArcGIS Online