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Course Name: Mapping and Visualization in Agriculture and Climate Change using GIS and Remote Sensing Technologies

Special offer for group registration:
Number of participants Fees
2-5 $ 700
6 -10 $ 650
11-50 $ 500
> 50 $ 450
To register as a group, contact us through: E: trainings@vitalextralearning.com or give us a call on T: +254707053111
Course Date Duration Location Fee: Registrations
Date: 05/12/2022 - 09/12/2022 5 Days Abuja, Nigeria $ 750 Click to register
Date: 16/01/2023 - 20/01/2023 5 Days Abuja, Nigeria $ 950 Click to register
Date: 06/02/2023 - 10/02/2023 5 Days Nairobi, Kenya $ 950 Click to register
Date: 06/03/2023 - 10/03/2023 5 Days Kigali, Rwanda $ 950 Click to register
Date: 03/04/2023 - 07/04/2023 5 Days Mombasa, Kenya $ 950 Click to register
Date: 01/05/2023 - 05/05/2023 5 Days Pretoria, S/Africa $ 950 Click to register
Date: 05/06/2023 - 09/06/2023 5 Days Nairobi, Kenya $ 950 Click to register

Duration

5 Days

Our Contacts:

Email: info@ vitalextralearning.com

Telephone:
+234 (0) 8038 066705,
+234 (0) 9039055940
+254 707 053 111

Website:
www.vitalextralearning.com

Important quick links:
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Course Description
Agricultural and climate change intervention projects and programmes may fail to achieve the required outcomes and impacts due to non-use of GIS and remote sensing technology. A geographical information system (GIS) is a collection of hardware software, and procedures to collect, manage, retrieve, manipulate, analyze and display spatial data. Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus in contrast to on-site observation, especially the Earth. This training workshop will equip participants with handy skills for use in spatial and Earth Observation (EO) as a tool to integrate knowledge about climate change, agriculture, and food security in a meaningful and innovative way.
 
Learning outcomes
By the end of this course the participants will be able to:
•    Use GIS as monitoring tool for projects and programmes activities in agriculture and climate change setup.
    Familiarize with spatial data availability
    Appreciate the role of spatial data infrastructure (SDI) in agriculture and climate change setup
    Use participatory GIS (PGIS) at community level
    Conduct agriculture and climate change modeling using GIS
    Collect data using Mobile data gathering tools
    Integrate GIS within new and existing activities in agriculture and climate change.
 
Who should enroll?
The course is useful for professionals who use spatial data as part of their work and who need to make decisions from such data. Such professionals include: Agricultural specialists, M&E practitioners, rural development workers, program managers and students among others. 
 
Send an email to trainings@vitalextralearning.com to request a course training agenda
 
Why train with us
Vital Extra Learning guarantees our clients:
•    State-of-the-art facilities and training infrastructure
•    Extended tradition of hand-holding during post engagement
•    Service delivery through highly seasoned industry experts.
•    Value for money
 
TOPICS TO BE COVERED
Module 1: Introduction
Fundamentals of Monitoring and Evaluation
  • Definition of Monitoring and Evaluation
  • Why Monitoring and Evaluation is important
  • Key principles and concepts in M&E
  • M&E in project lifecycle
  • Participatory M&E
 
M&E Data Management
  • Different sources of M&E data
  • Qualitative data collection methods
  • Quantitative data collection methods
  • Participatory methods of data collection
  • Data Quality Assessment
 
Data Collection Tools and Techniques
  • Sources of M&E data –primary and secondary
  • Sampling during data collection
  • Qualitative data collection methods
  • Quantitative data collection methods
  • Participatory data collection methods
  • Introduction to data triangulation
 
Introduction to spatial data gathering and analysis in agriculture and climate change
  • Explanation of concepts
  • Exploration of interlinkages between agriculture and climate change
 
Introduction to GPS, GIS and Remote Sensing Principles
  • Principles of GIS and Remote Sensing
  • Components of GIS Systems
  • GIS Capabilities and Functions
  • Spatial Data Infrastructure
  • Introduction to GPS and Global Navigation Satellite
 
Data Acquisition in agriculture and climate change: Using Mobile based GPS (ODK)
  • Principles and concepts of GPS
  • Introduction to Mobile Data gathering
  • Getting started
  • Survey Authoring
  • GIS Mapping ODK collected data
  • Online web mapping with Google maps
  • Exporting to GIS /RS environment for further analysis
  • Hosting the data online
 
Module 2: Data Acquisition and Database Design and Development
Data Acquisition in agriculture and climate change: Extraction of feature from other sources
  • Extracting data from Satellite images,
  • Extracting data from online GIS data sources
  • Importing data to GIS
  • Obtaining Data from topographic sheets
  • Downloading Data from open street maps
 
Database Design and development for agriculture and climate change programming
  • Working with spreadsheets data in GIS
  • Conceptual and logical database design
  • Building and coding the attributes
  • Digitizing and scanning of maps
  • Relating spatial and attribute data
 
Module 3: Editing and management of GIS and Integrating Imagery and Remote Sensing into GIS
Editing and management of GIS in agriculture and climate change
  • Adding feature to GIS data
  • Reducing GIS data
  • cutting points of interest in image datasets
  • Transforming GIS data
 
Integrating Imagery and Remote Sensing into GIS in agriculture and climate change
  • Radiometric and atmospheric correction
  • Temporal normalization
  • Geo-coding and geo-referencing
  • Transformation
  • Signature development
  • Supervised Classification
  • Unsupervised Classification
  • Change detection
  • Accuracy assessment
 
Module 4: Geo-Spatial Analysis and Introduction to cartographic visualization and the mapping process
Geo-Spatial Analysis in agriculture and climate change
  • Geo-processing
  • Creating views and themes
  • Working with themes
  • Working with attribute tables
  • Spatial query and analysis
  • Working with charts
  • Creating a map layout
  • Digital Cartography and Visualization
 
Introduction to cartographic visualization and the mapping process in agriculture and climate change
  • Components of a map
  • Map design
  • Symbol design
  • Name design and placement
  • Concept of scale
  • Map projections
  • Data pre-processing techniques
  • Thematic mapping;
  • Digital mapping
 
Module 5: Online publishing of maps and GIS outputs
Online Publishing of agriculture and climate change maps and GIS outputs
  • Working with Google Maps and Fusion Tables
  • Publishing into other web based platforms
 
Case study
  • Case study of application of GIS and RS technology in agriculture and climate change
 

TRAINING CUSTOMIZATION

This training can be customized for your institution or delivered at your preferred location upon request. For training customization, contact us through
Email: info@ vitalextralearning.com
Telephone:
+234 (0) 8038 066705,
+234 (0) 9039055940
+254 707 053 111

LANGUAGE
English

_ Kenya _

Register with us for any short course in Nairobi and get an opportunity to visit and see endangered rhinos (white and black), hippos, crocodiles, ostrich, over 400 species of birds, leopards, lions, cheetah, buffalo and more.

OUR APPROACH – TADs
We THINK
We ANALYSE
We DEVELOP AND DELIVER SOLUTIONS that satisfy our clients