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What You'll Learn

Learn GIS/RS tools for forest cover mapping, deforestation monitoring, and climate reporting with real-world applications.
Course Benefits
Industry Certification

Internationally recognized qualification

Expert Instructors

Learn from industry professionals

Dedicated Support

Assistance during and after training

Practical Skills

Apply knowledge immediately

Comprehensive 10-day curriculum with all materials included
Hands-on exercises and real-world case studies
Valuable networking opportunities with peers and experts
Post-course resources and refresher materials
Training on GIS and Remote Sensing for Sustainable Forest Monitoring and Management - Course Cover Image
Duration 10 Days
Level Advanced
Format In-Person

Course Overview

Featured

This course equips participants with practical skills and advanced knowledge in applying GIS and Remote Sensing (RS) technologies for sustainable forest monitoring, conservation, and management. Participants will learn how to map forest cover, detect deforestation, assess biomass and carbon stocks, and apply geospatial tools for climate change mitigation, biodiversity conservation, and sustainable forest governance.

Duration

10 Days

Who Should Attend

  • Forestry professionals & environmental managers

  • GIS & RS specialists in natural resources

  • Climate change and REDD+ project teams

  • NGOs, researchers, and government agencies in forestry & conservation

  • University staff, consultants, and development practitioners

Course Impact

Organization Impact

  • Strengthened capacity to monitor forests with geospatial data

  • Evidence-based decision-making for conservation and forest governance

  • Better tracking of deforestation, degradation, and carbon stock changes

  • Improved compliance with international reporting (REDD+, SDGs, climate commitments)


Individual Impact

  • Hands-on skills in GIS & RS for forest monitoring

  • Proficiency in biomass and carbon assessment methods

  • Capacity to develop forest management plans using geospatial data

  • Enhanced expertise for career growth in forestry, environment, and climate change

Course Objectives

By the end of this training, participants will be able to:

  1. Understand GIS/RS concepts for forest monitoring.

  2. Map forest cover and detect land use/land cover (LULC) changes.

  3. Apply RS for biomass, carbon stock, and biodiversity assessment.

  4. Use GIS tools for forest management planning and policy support.

  5. Develop monitoring frameworks for REDD+ and climate reporting.

Course Outline

Module 1: Introduction to GIS, Remote Sensing & Forest Monitoring

  • GIS & RS fundamentals in forestry

  • Importance of geospatial tools for sustainable forest management

  • Case Study: Global Forest Watch applications


Module 2: Data Acquisition & Preprocessing for Forest Studies

  • Sources of forest-related satellite imagery (Landsat, Sentinel, MODIS)

  • Pre-processing techniques: atmospheric correction, mosaicking, clipping

  • Practical: Downloading and preparing Landsat/Sentinel imagery


Module 3: Forest Cover Mapping & Classification

  • Supervised & unsupervised classification techniques

  • Forest/non-forest mapping

  • Practical: Land cover classification in QGIS/ArcGIS


Module 4: Deforestation & Degradation Monitoring

  • Change detection methods

  • Time-series analysis for forest loss trends

  • Case Study: Amazon rainforest deforestation monitoring


Module 5: Biomass and Carbon Stock Estimation

  • RS approaches for biomass and carbon assessment

  • Use of LiDAR and radar data

  • Practical: Estimating carbon stock with RS data


Module 6: Biodiversity and Habitat Mapping with GIS/RS

  • Species distribution modeling

  • Habitat fragmentation analysis

  • Case Study: GIS-based biodiversity corridors management


Module 7: Forest Fire Monitoring and Early Warning Systems

  • RS for fire detection and burned area assessment

  • Integration of weather data with GIS for fire risk mapping

  • Practical: Mapping hotspots using MODIS/VIIRS data


Module 8: Community-Based Forest Management & GIS Tools

  • Participatory mapping and community involvement

  • Integrating socio-economic data with geospatial layers

  • Case Study: GIS for community forest monitoring in East Africa


Module 9: Policy Applications – REDD+, SDGs & Climate Reporting

  • GIS/RS for REDD+ MRV (Monitoring, Reporting, Verification)

  • Forest monitoring indicators for SDG 13 (climate) and SDG 15 (life on land)

  • Practical: Setting up MRV frameworks with GIS


Module 10: Integrated Project & Presentations

  • Group project: mapping and analyzing forest change in a case region

  • Presentation of results and discussion

  • Case Study: National Forest Monitoring Systems (NFMS) best practices

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration Details

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.

For further inquiries, please contact us on details below:

Register for the Course

Select a date and location that works for you.

In-Person Training Schedules


January 2026
Date Days Venue Fee (VAT Incl.) Register
5 Jan - 16 Jan 2026 10 days Nairobi, Kenya KES 198,000 | USD 2,800 Enroll Now
5 Jan - 16 Jan 2026 10 days Cape Town, South Africa USD 7,500 Enroll Now
5 Jan - 16 Jan 2026 10 days Dubai, United Arabs Emirates USD 8,000 Enroll Now
5 Jan - 16 Jan 2026 10 days Zanzibar, Tanzania USD 4,400 Enroll Now
12 Jan - 23 Jan 2026 10 days Mombasa, Kenya KES 230,000 | USD 3,000 Enroll Now
12 Jan - 23 Jan 2026 10 days Kigali, Rwanda USD 3,800 Enroll Now
12 Jan - 23 Jan 2026 10 days Accra, Ghana USD 7,200 Enroll Now
12 Jan - 23 Jan 2026 10 days Kampala, Uganda USD 3,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dar es Salaam, Tanzania USD 4,300 Enroll Now
19 Jan - 30 Jan 2026 10 days Johannesburg, South Africa USD 6,500 Enroll Now
19 Jan - 30 Jan 2026 10 days Nakuru, Kenya KES 210,000 | USD 2,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dakar, Senegal USD 6,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Pretoria, South Africa USD 6,300 Enroll Now
26 Jan - 6 Feb 2026 10 days Kisumu, Kenya KES 210,000 | USD 3,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Naivasha, Kenya KES 210,000 | USD 2,800 Enroll Now
26 Jan - 6 Feb 2026 10 days Arusha, Tanzania USD 4,300 Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 198,000
USD 2,800
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 7,500
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 8,000
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 4,400
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 230,000
USD 3,000
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 3,800
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 7,200
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 3,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 6,500
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 6,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 6,300
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 210,000
USD 3,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now

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We offer customized training solutions tailored to your organization's specific needs:

  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
  • Cost-effective solution for training multiple employees
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Frequently Asked Questions

Find answers to common questions about this course

Basic GIS knowledge is helpful but not required. The course starts with fundamentals.
QGIS, ArcGIS, ERDAS Imagine, Google Earth Engine (GEE), and other open-source tools.
Yes, participants will analyze real satellite datasets for forest monitoring.
Yes, REDD+ MRV frameworks and applications are a core part of the course.
Yes, a certificate of completion is awarded at the end.
Training on GIS and Remote Sensing for Sustainable Forest Monitoring and Management

Next class starts 5 Jan 2026

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