GIS in agriculture, forestry or range management is not a new phenomenon anymore. No strategy of economic reform can succeed without sustained and broad-based development, which is critical for raising living standards, alleviating poverty, assuring food security, generating a buoyant market for expansion of industry and services and making a substantial contribution to the national economic growth.
Geographical Information System (GIS) is widely used as a valuable tool for management, analysis and presentation of various and great volumes of data, as well as different local planning activities.
GIS tools and online web resources are helping agriculturalist and forest officers to conduct crop forecasting and manage their agriculture production by utilizing multispectral imagery collected by satellites. The ability of GIS to analyze and visualize agricultural environments and workflows has proven to be very beneficial to those involved in the farming industry ,forest conservation and Rangeland management. GIS has the capability to analyze soil data , rainfall data and temperature data to determine conditions favoring existence of certain crops/vegetation in different regions.
About this Course
A GIS helps people visualize and create information that can be used to make decisions and solve problems. Get an introduction to the basic components of a GIS. Learn fundamental concepts that underlie the use of a GIS with hands-on experience with maps and geographic data.
This course uses QGIS 3x,Google Earth Pro and Saga.
Goals
- Understand the basic concepts of GIS and Remote Sensing
- Evaluate data for use in a GIS mapping project.
- Visually analyze feature relationships and patterns on a GIS map.
- Share GIS maps and analysis results.
- Understand various integrations of GIS and RS Agriculture, Forest and rangeland Management
- Understand Digital Image Processing Technique
- Understand participatory method in resource management in context of GIS and Remote Sensing.
Important Dates
Classroom Training Calendar 2023
| START DATE | END DATE | REGISTRATION DEADLINE | COURSE COST (Classroom) | Click to Apply. |
|---|---|---|---|---|
| May 1, 2023 | May 5, 2023 | Apr 27, 2023 | USD 980 | Register |
| June 19 2023 | June 23, 2023 | June 14, 2023 | USD 980 | Register |
| Aug 7, 2023 | Aug 11, 2023 | Aug 2, 2023 | USD 980 | Register |
| Sept 25, 2023 | Sept 29, 2023 | Sept 20, 2023 | USD 980 | Register |
| Nov 13, 2023 | Nov 17, 2023 | Nov 8, 2023 | USD 980 | Register |
Online Training Calendar 2023
| START DATE | END DATE | REGISTRATION DEADLINE | COURSE COST (Online) | Click to Apply. |
|---|---|---|---|---|
| June 5, 2023 | June 9, 2023 | June 1, 2023 | USD 350 / KES 30000 | Register |
| July 24, 2023 | July 28, 2023 | July 20, 2023 | USD 350 / KES 30000 | Register |
| Sept 11, 2023 | Sept 15, 2023 | Sept 7, 2023 | USD 350 / KES 30000 | Register |
| Oct 30, 2023 | Nov 3, 2023 | Oct 26, 2023 | USD 350 / KES 30000 | Register |
| Dec 18, 2023 | Dec 22, 2023 | Dec 14, 2023 | USD 350 / KES 30000 | Register |
Group Discount
WE OFFER 10% – 20% DISCOUNT TO GROUPS OF MORE THAN 5 PARTICIPANTS.
Course Content Overview
Introduction to GIS and Remote Sensing Jargons
- What is GIS?
- What can you do with GIS?
- What are the components of a GIS?
- What is Remote Sensing?
- Think of ways to apply GIS
- What are the Resolutions?
- Types of Resolutions
- Downloading data from online resources
- Installation and Interface of QGIS, Google Earth and SAGA.
Datum and Projection
- Datum
- Coordinate System
- Map Projection
- Map Scales
Data Types, Heads-up Digitization
- Vector and Raster Data
- Non-Spatial Data (CSV)
- Creating Vector Files and Data Collection
- Attribute Table Creation/Editing, Join Table
- Attribute table (Join Table & Spatial Query (By Location and Attribute)
Symbology & Labelling
- Introduction to Symbolization.
- Single Symbol, Unique Value
- Graduated Colours, Proportional Symbol
- Dot Density, Chart
- Georeferencing
- Labels
- Displaying dynamic labels
- Reference scale
- Controlling which features are labeled
- Controlling where labels are placed
- Converting labels to annotation
Spatial Data Input and Editing
- Introduction to Spatial datasets
- Topology & Error Checking
- Basic Spatial Adjustment
- Data collection using ODK, Kobo collect, QField or GPS Essentials
Development and presentation of maps
- Cartography and Customization of Legends
- Mapping resources
- Map generation automation i.e. Creating Atlas maps
- Practical exercise on making a soil map
Digital Image Processing Techniques
- Downloading satellites data (e.g., Landsat and Sentinel).
- Hyperspectral Data Analysis
- Calculating Normalized Difference Vegetation Index (NDVI) to access plant status.
- Supervised and Unsupervised classification using useful plugins.
- Data exploration and pre-processing. i.e DOS1 Correction, Image rectification and Reflectance.
- Accuracy Assessment
- Practical lesson; Creating a Land Use land Cover map.
- Creating a simple web map for data sharing.
Target Participants
Newbies, Agriculturalists, Forest Officers, M & E Experts, Program Manager, Students, Teachers, GIS and Remote Sensing Enthusiasts
Suggested Skills
Experience with Windows-based software for basic file management and browsing.
Software
QGIS Version 3, Google Earth Pro, SAGA.
Certification
Upon successful completion of this course participants will be awarded a certificate at no extra cost.
