Atmospheric remote sensing toolkit
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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
Detecting change and trends
What is change and trend detection?
Image requirements
Mapping biophysical change
Trend detection and analysis
Example time series imagery
