Environmetrika

EnvironmetrikaEnvironmetrikaEnvironmetrika
  • Home
  • Complex Sample Surveys
  • Contact Us
  • Applications
  • Accuracy Assessments
  • NFI
  • Global Forest Monitoring
  • More
    • Home
    • Complex Sample Surveys
    • Contact Us
    • Applications
    • Accuracy Assessments
    • NFI
    • Global Forest Monitoring

Environmetrika

EnvironmetrikaEnvironmetrikaEnvironmetrika
  • Home
  • Complex Sample Surveys
  • Contact Us
  • Applications
  • Accuracy Assessments
  • NFI
  • Global Forest Monitoring

applications with complex sample surveys

Accuracy Assessments for Remotely Sensed Data

Environmetrika supports design and analysis of sample surveys that assess the accuracy of remotely sensed data. This includes multivariate estimates for 

  • "Error matrices", which are contingency tables that compare remotely sensed classifications with more accurate reference classifications (e.g., field data). 
  • Analyses of continuous variables

Environmetrika supports complex sampling designs that use multiple sources of high-resolution remotely sensed and field data


Find out more

Global- and Continental-Scale Monitoring of Forest Cover and Land Use

Environmetrika supports design and analysis of complex sample surveys that monitor status, changes and trends in forest cover, deforestation, and reforestation over large geographic regions. The study areas are very large, but the detail of thematic variables is very limited. 

Find out more

National Forest Inventories (NFI)

 Environmetrika supports design and analysis of complex sample surveys that monitor status, changes and trends in very detailed indicators of forest condition and forest health.

Find out more

Copyright © 2021 Environmetrika - All Rights Reserved.

Powered by GoDaddy Website Builder

  • Complex Sample Surveys
  • Accuracy Assessments
  • NFI
  • Global Forest Monitoring

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.

Accept