Topic: Validation | On-the-Job Training for Palestine and Jordan

WaPOR Validation

In this module, you will be introduced to common practices in validation of remote sensing datasets in general, the WaPOR data layer quality assurance and validation carried out to validate WaPOR data layers, and how perfume validation of some of the data layers (precipitation, actual evapotranspiration, biomass) yourself. This module consists of the following three units:

Common practices of validation of remote sensing data

Introduction to WaPOR Quality assurance and validation

Validation of WaPOR data layers

The overall learning objective of the module is that after following this module you will be able to:

Explain the quality assurance cycle and the role of data validation

Describe validation techniques and steps for WaPOR data products

Calculate performance metrics to validate WaPOR data products (PCP, RET, AETI, NPP, biomass)

Discuss the limitations and challenges of ET models and WaPOR database products
- Select activity Common practices and methods for validation of EO/RS datasets
  
  Common practices and methods for validation of EO/RS datasets Interactive Content
  
  Students must
  
  Receive a grade
  
  Receive a passing grade
- Select activity Introduction to WaPOR quality assurance and validation
  
  Introduction to WaPOR quality assurance and validation Interactive Content
  
  Students must
  
  Receive a grade
  
  Receive a passing grade
- Select activity WaPOR validation with in-situ data
  
  WaPOR validation with in-situ data File

Section outline

WaPOR Validation