Atmospheric remote sensing toolkit
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RSRC GPEM The University of Queensland
Fundamentals
  • Main page
  • Pre-processing
    • Introduction
    • Image acquisition
    • When to correct
    • Correction types
    • Atmospheric correction
    • Relative atmospheric correction
    • Relative atmospheric correction
    • Physics-based correction
    • Bi-directional reflectance correction
    • Bi-directional reflectance correction
    • Geometric corrections
    • When to correct
    • Masking
  • Field data collection
    • Introduction
    • Spectral libraries
    • Example spectra
    • Optical properties
  • Mapping approaches
    • Introduction
    • Manual delineation
    • Object based analysis
    • Supervised classification
    • Unsupervised classification
    • Inverse modelling
    • Example
    • Regression analysis
  • Change and trends
    • Introduction
    • About
    • Image requirements
    • Mapping change
    • Trend detection
    • Example time series
    • Monitoring clouds and rainfall
    • Ash plume from Icelandic eruption
  • Delivery
    • Introduction
    • Post classification
    • Refinements and smoothing operations
    • Stratification and post-classification sorting
    • Error assessment
    • Sampling design
    • Sampling unit size
    • Number of samples
    • Sampling scheme
    • Selecting a reference data set
    • Reference data example
    • Derivation of error or contingency matrix
    • Category level accuracy
    • Map level accuracy
    • Quantitative image products
    • Interpreting mapping accuracy
    • Interpreting mapping accuracy
    • Interpreting mapping accuracy
    • Interpreting mapping accuracy
    • Final map creation

Sampling design

The sampling design is described by:

  1. Sample unit size
  2. Number of samples
  3. Spatial distribution of samples
  4. Data collection process at each sample unit
accuracy and error assessment

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