Lecture 11 - Landcover Mapping and accuracy assessment Flashcards
What is an error matrix?
Table used to compare reference data with the classified map data
Example Error Matrix
- Out of 67 reference pixel for conifer 50 has been classified as conifer, 14 has been classified as hardwood and 3 has been classified as water.
- You can understand total error and understand how well different land cover types are mapped.
Total Accuracy Equation
Number of correct pixels/ total number of pixels
Diagonals and Off-diagonals representation
Diagonals - Represent pixels classified correctly
Off-diagonals - Mis-classified pixels
Problems with total accuracy
- Doesn’t tell us how well each land cover type is mapped
- Summary value is an average
- Does not reveal if error was evenly distributed
What is users accuracy?
From the perspective of the user how accurate is map
Corresponds to error of commission (inclusion)
What is producers’ accuracy?
From perspective of the maker of the classified map
Corresponds to error of omission
Each type of accuracy yields different information so all 3 have to be looked at
Why do urban land surfaces need higher spatial resolution?
Land surfaces are very heterogeneous
Need 1m resolution ideally
Agriculture is much more homoegeneous