Accuracy assessment methods and current challenges

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Background Need for accuracy assessment established. Considerable progress – now see use of probability sampling, provision of confidence intervals/SE etc. BUT, challenges remain as major errors, biases and uncertainties remain.
Challenges include • Class definition (what is a forest) • Definition of change – modification v conversion etc. • Impacts of spatial mis-registration • Inter-senor radiometric calibration • Variations in sensor properties (spatial resolution etc) • Impacts of time of image acquisition • Required precision of estimation • Rarity and sampling issues etc. etc. Here focus on 2 issues connected with the ground reference data – ‘quality and size’
Page 1: Accuracy assessment methods and cha
Page 5 and 6: Popular measures e.g. Sensitivity =
Page 7 and 8: NO, because the matrix might look l
Page 9 and 10: Impact on estimation Real accuracy
Page 11 and 12: PART 2: Comparisons Often compare (
Page 13 and 14: BUT Aim is often not to estimate ac
Page 15 and 16: Comparative analysis Comparative an
Page 17 and 18: Type II error H o is incorrectly ac
Page 19 and 20: Estimating sample size To determine
Page 21 and 22: e.g. common scenario v another accu
Page 23 and 24: So what Remember, important to use
Page 25 and 26: v another accuracy

Accuracy assessment methods and current challenges

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