Skip to main content
  • English
  • Español
  • Français

United
Nations

 

Office for Outer Space Affairs
UN-SPIDER Knowledge Portal

  • Home
  • About Us
    • What is UN-SPIDER?
    • About UNOOSA
    • Publications
    • Jobs
    • Meet the Team
    • Contact
  • Space Application
    • Satellite Technology
    • Emergency Mechanisms
    • Recovery Mechanisms
    • International Asteroid Warning Network
    • Space Mission Planning Advisory Group
    • International Space Weather Initiative
    • Space Technologies in the UN
    • User Stories
  • Links & Resources
    • Data Applications
      • Disaster Recovery
    • Data Sources
    • GIS and Remote Sensing Software
    • Online Learning Resources
    • Institutions
  • Risks & Disasters
    • Disaster Risk Management
    • Early Warning Systems
    • Emergency and Disaster Management
    • Natural Hazards
    • Sendai Framework
    • The UN and Disaster Risk Management
    • The UN and Early Warning
    • The UN and Disaster Management
  • Advisory Support
    • Advisory Missions
    • Emergency Support
    • Virtual Advisory Support
    • Recommended Practices
    • Training Activities
    • Practical Uses
  • Network
    • Regional Support Offices
    • GP-STAR
    • MHEWS
    • IWG-SEM
  • Projects
    • SPEAR
    • SEWS-D
    • EvIDENz
    • Flood GUIDE
    • CommonSpace Initiative
    • Tonga Pilot Project
  • News & Events
    • News
    • Events Calendar
    • UN-SPIDER Events Archive

Breadcrumb

  • Home
  • Advisory Support
  • Recommended Practices
  • Recommended Practice: Land Cover Change Detection Through Supervised Classification
  • Recommended Practice: Land Cover Change Detection through Supervised Classification

Flowchart

Recommended Practice: Land Cover Change Detection through Supervised Classification

This Recommended Practice aims to (1) conduct a supervised land cover classification in QGIS using the SCP plugin and (2) to conduct change detection analysis. These skills are applicable to a vast range of disasters throughout the entire disaster management cycle. In this example, the remote sensing technique is applied to monitor deforestation in a part of the Amazon rainforest south of Santarém, Pará, in Brazil. However, it can be applied to any other study area. The required inputs are two or more satellite images of the same area at a different point in time. This will result in an output of a table showing the exact change in land cover in number of pixels as well as a visualization of the land cover change in the form of a shapefile.

/advisory-support/recommended-practices/recommended-practice-land-cover-change/…
/advisory-support/recommended-practices/recommended-practice-land-cover-change/…
Forest Fire
Mitigation
Preparedness
Recovery & Reconstruction
Relief & Response
Brazil

This practice was applied to the Amazon rainforest south of Santarém, Pará, in Brazil between 2015 and 2019 to monitor rainforest deforrestation in that period.

This method can be applied to any other area of study in which change detection from one landcover type to another is desired.

Recommended by:

Related Practices

Related data

Sentinel 2 - Imagery (ESA)

view all

Related Software

QGIS

view all

Disclaimer:

Neither UN-SPIDER nor the Regional Support Offices (RSOs) or their partners take any responsibility for the correctness of outputs from this recommended practice or decisions derived as a consequence.

 

Footer menu

  • Contact
  • Terms of Use

User account menu

  • Log in