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GIS in Agriculture, Forestry, Rangeland & Dryland Management Training

Home GIS Courses GIS in Agriculture, Forestry, Rangeland & Dryland Management Training

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.


  • 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

Click to Apply.
Mar 4, 2024Mar 8, 2024Mar 1, 2024USD 980Register
Apr 15 , 2024Apr 19, 2024Apr 11, 2024USD 980Register
May 6, 2024May 10, 2024May 3, 2024USD 980Register
June 10, 2024June 14, 2024June 7, 2024USD 980Register
Jul 15, 2024Jul 20, 2024Jul 12, 2024USD 980Register

Online Training Calendar 2023

Click to Apply.
Feb 26, 2024Mar 01, 2024Feb 22, 2024USD 350 / KES 30000Register
Apr 01, 2024Apr 05, 2024Mar 28, 2024USD 350 / KES 30000Register
May 06, 2024May 10, 2024May 03, 2024USD 350 / KES 30000Register
Jun 10, 2024Jun 14, 2024Jun 07, 2024USD 350 / KES 30000Register
Jul 15, 2024Jul 19, 2024Jul 12, 2024USD 350 / KES 30000Register

Group Discount


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 Methods in GIS
  • 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.


QGIS Version 3, Google Earth Pro, SAGA.


Upon successful completion of this course participants will be awarded a certificate at no extra cost.



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