Training Course on Resource Mobilization and Proposal Writing for Projects
Event Details
Training Course on Resource Mobilization and Proposal Writing for Projects
Course Title: Training Course on Application of GIS in Agriculture and Climate Change
Course venue: Kigali Rwanda
Course duration - 5 days
Registration Fees: 750 USD
Course dates
14th - 18th August 2023 : https://bit.ly/46PIWDy
18th - 22nd September 2023 : https://bit.ly/46PIWDy
23rd - 27th October 2023 : https://bit.ly/46PIWDy
20th - 24th November 2023: https://bit.ly/46PIWDy
Contacts: +250 784 481 618 or +250 786 156 256
E-mail: [email protected]
About the Course
Agricultural and climate change intervention may fail to achieve their required outcomes and impacts due to non-use of GIS and remote sensing technologies. 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.
Target Participants
This course is useful for agricultural professionals who use spatial data as part of their work and who need to make decisions from such data.
What you will learn
By the end of the course the learner should 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.
Course duration
5 days
Course Outline
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
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
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
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
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 Approach
This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.
Training manuals and additional reference materials are provided to the participants.
Certification
Upon successful completion of this course, participants will be issued with a certificate.
Tailor-Made Course
We can also do this as a tailor-made course to meet organization-wide needs. Contact us to find out more [email protected]
Payment
The training fee covers tuition fees, learning materials, and training venue. Accommodation and airport transfer are arranged for our participants upon request.
Payment should be sent to our bank account before start of training and proof of payment sent to [email protected]
Course venue: Kigali Rwanda
Course duration - 5 days
Registration Fees: 750 USD
Course dates
14th - 18th August 2023 : https://bit.ly/46PIWDy
18th - 22nd September 2023 : https://bit.ly/46PIWDy
23rd - 27th October 2023 : https://bit.ly/46PIWDy
20th - 24th November 2023: https://bit.ly/46PIWDy
Contacts: +250 784 481 618 or +250 786 156 256
E-mail: [email protected]
About the Course
Agricultural and climate change intervention may fail to achieve their required outcomes and impacts due to non-use of GIS and remote sensing technologies. 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.
Target Participants
This course is useful for agricultural professionals who use spatial data as part of their work and who need to make decisions from such data.
What you will learn
By the end of the course the learner should 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.
Course duration
5 days
Course Outline
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
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
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
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
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 Approach
This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.
Training manuals and additional reference materials are provided to the participants.
Certification
Upon successful completion of this course, participants will be issued with a certificate.
Tailor-Made Course
We can also do this as a tailor-made course to meet organization-wide needs. Contact us to find out more [email protected]
Payment
The training fee covers tuition fees, learning materials, and training venue. Accommodation and airport transfer are arranged for our participants upon request.
Payment should be sent to our bank account before start of training and proof of payment sent to [email protected]
Entry Fees
Free Registration
Categories
Event Frequency
Monthly
Event Timings
(GMT+3:00) Nairobi
08:00 AM - 05:00 PM (Nov 19, Nov 20, Nov 21, Nov 22, Nov 23) (Public)
Organizer
Kigali Institute of Capacity Development and Data Analytics
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Kigali Institute of Capacity Development and Data Analytics is a training organization with registered office in Kigali, Rwanda. We partner with you to offer fulfilling and top-notch trainings on data analytics for adult learners of all ages. We o...
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Event Location
Kigali
Kigali ,
Nyarugenge, Kigali City, Rwanda
Nyarugenge, Kigali City, Rwanda
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