This comprehensive 5-day training course is designed to equip participants with the fundamental knowledge and practical skills required to effectively acquire, process, and prepare geospatial data for various applications. The course delves into different data sources, collection techniques, quality control measures, and essential preprocessing steps to ensure data accuracy and usability.
The training will cover key topics such as remote sensing principles and data acquisition, Global Navigation Satellite Systems (GNSS) for surveying, geographic information systems (GIS) data models and formats, data cleaning and transformation techniques, spatial data integration, and best practices for data management and documentation. Hands-on practical sessions will reinforce theoretical concepts and provide valuable experience in working with real-world geospatial datasets.
Who should attend the training
- Professionals in environmental management
- Urban planning
- Agriculture
- Natural resource management
- Disaster management
- Infrastructure development
- Researchers and academics
- Anyone interested in working with geospatial data
Objectives of the training
- Understand the principles and techniques of various geospatial data acquisition methods.
- Gain proficiency in using GNSS technology for data collection.
- Learn about different geospatial data models, formats, and their applications.
- Develop skills in data cleaning, transformation, and georeferencing.
- Master techniques for integrating data from diverse geospatial sources.
- Understand the importance of data quality control and quality assurance.
- Learn best practices for geospatial data management and documentation.
- Apply learned concepts through practical exercises and case studies.
Personal benefits
- Enhanced skills in geospatial data acquisition and preparation.
- Increased proficiency in using relevant software and tools.
- Improved ability to analyze and interpret geospatial information.
- Greater confidence in handling real-world geospatial datasets.
- Expanded career opportunities in the geospatial domain.
Organizational benefits
- Improved efficiency and accuracy in geospatial data handling.
- Enhanced decision-making capabilities based on reliable spatial information.
- Better management of resources and assets through effective data utilization.
- Increased capacity for spatial analysis and modeling.
- Streamlined workflows for geospatial projects.
Training methodology
- Interactive lectures and presentations
- Hands-on practical exercises using industry-standard software
- Group discussions and case studies
- Demonstrations of data acquisition techniques
- Practical session: Field data collection using GNSS receivers
- Practical session: Importing and georeferencing satellite imagery in GIS software
- Practical session: Data cleaning and attribute manipulation in a GIS environment
- Practical session: Spatial data integration and overlay analysis
- Practical session: Creating and managing a geospatial database
Trainer Experience
Our trainers are experienced geospatial professionals with extensive practical knowledge in data acquisition, processing, and analysis. They bring real-world examples and case studies to the training, ensuring a relevant and engaging learning experience.
Quality statement
We are committed to providing high-quality training that meets the evolving needs of the geospatial industry. Our course materials are up-to-date, and our trainers are dedicated to ensuring participants gain the necessary skills and knowledge to excel in their respective fields.
Tailor-made courses
We offer customized training courses to meet the specific requirements of organizations. Our team can work with you to develop a curriculum that addresses your unique data acquisition and preparation needs.
Course Duration: 5 days
Training fee: USD 1300
Module 1: Introduction to Geospatial Data
- Fundamentals of geospatial information and its importance
- Different types of geospatial data: vector, raster, and tabular
- Spatial reference systems: coordinate systems and projections
- Data sources: primary and secondary geospatial data
- Practical session: Exploring different geospatial data formats and their properties
Module 2: Remote Sensing Principles and Data Acquisition
- Electromagnetic spectrum and its interaction with Earth's surface
- Types of remote sensing platforms and sensors
- Satellite imagery characteristics: spatial, spectral, temporal, and radiometric resolution
- Aerial photography and its applications in mapping
- Practical session: Interpretation of satellite imagery and identification of features
Module 3: Global Navigation Satellite Systems (GNSS) for Surveying
- Principles of GNSS technology: GPS, GLONASS, Galileo, BeiDou
- GNSS data acquisition methods: static, kinematic, real-time kinematic (RTK)
- Understanding GNSS accuracy and error sources
- Planning and conducting GNSS surveys
- Practical session: Collecting and processing GPS data
Module 4: Geographic Information Systems (GIS) Data Models and Formats
- Vector data model: points, lines, and polygons
- Raster data model: cells and grids
- Common GIS data formats: Shapefile, GeoJSON, GeoTIFF, NetCDF
- Database management systems for geospatial data
- Practical session: Creating and editing spatial data in a GIS environment
Module 5: Geospatial Data Cleaning and Transformation
- Identifying and handling data errors and inconsistencies
- Geometric correction: georeferencing and rectification
- Data transformation: reprojection and coordinate conversion
- Attribute data manipulation and management
- Practical session: Georeferencing raster data and transforming vector data
Module 6: Spatial Data Integration and Interoperability
- Integrating data from different sources and formats
- Spatial data overlay and analysis techniques
- Addressing data compatibility issues
- Web mapping services and data sharing platforms
- Practical session: Performing spatial overlay analysis using GIS tools
Module 7: Geospatial Data Quality Control and Quality Assurance
- Importance of data quality in geospatial applications
- Accuracy assessment methods for vector and raster data
- Developing and implementing data quality standards
- Metadata creation and management
- Practical session: Assessing the accuracy of geospatial datasets
Module 8: Digital Elevation Models (DEM) and Terrain Analysis
- Sources and types of DEMs: LiDAR, photogrammetry, topographic maps
- DEM processing techniques: interpolation and smoothing
- Terrain analysis: slope, aspect, hillshade, contour generation
- Applications of DEMs in various fields
- Practical session: Generating and analyzing terrain data using GIS software
Module 9: Introduction to Spatial Analysis Techniques
- Proximity analysis: buffering and nearest neighbor analysis
- Network analysis: routing and connectivity
- Spatial statistics: point pattern analysis and spatial autocorrelation
- Introduction to geostatistics
- Practical session: Performing basic spatial analysis operations in a GIS
Module 10: Best Practices in Geospatial Data Management and Documentation
- Principles of geospatial data management
- Developing data documentation and metadata standards
- Data storage, backup, and archiving strategies
- Data sharing policies and licensing
- Practical session: Creating metadata for a geospatial dataseta.
Requirements:
· Participants should be reasonably proficient in English.
· Applicants must live up to Armstrong Global Institute admission criteria.
Terms and Conditions
1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free
2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.
3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.
4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.
5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.
Booking for Training
Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.
Or call us on +254720272325 / +254725012095 / +254724452588
Payment Options
We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:
1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.
2. Invoice: We can send a bill directly to you or your company.
3. Deposit directly into Bank Account (Account details provided upon request)
Cancellation Policy
1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.
2. Participants may cancel attendance 14 days or more prior to the training commencement date.
3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.
Tailor Made Courses
This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com
Accommodation and Airport Transfer
Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588
