Skip to main content
NITA AccreditedAdvancedPhysical + Virtual10 daysTOGA548

Training on GIS and Remote Sensing for Sustainable Forest Monitoring and Management

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

Next intake

20 Jul 2026 · Nakuru

View all dates

Duration

10 days

Live instruction

Delivery

Physical + Virtual

Cohort based

Level

Advanced

Working professionals

Certification

NITA reimbursable

For Kenyan cohorts

Language

English

All materials

Overview

About this programme

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

Learning outcomes

What you'll walk away with

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 modules

What we cover, module by module

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

Impact

Where the change lands

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

Dates and locations

Upcoming intakes

Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.

Full calendar
FAQs

Common questions.

Still not sure? Send us a note and a facilitator will get back to you within a business day.

Basic GIS knowledge is helpful but not required. The course starts with fundamentals.

Course finder

Find the right course for you

Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.

For corporate teams

Training 10+ professionals?

We deliver Training on GIS and Remote Sensing for Sustainable Forest Monitoring and Management in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.