satellite imagery; small scale estimation; satellite sensibility
For example, If I have 40 trees in one pixel of Landsat 8 OLI band 5, the average spectra will change with 1, 2, 3 ... trees died? my question concern about imagery sensibility.
Many factors impact the response the medium resolution sensor can detect, and therefore the sensors relative sensitivity to detecting . Noise is a significant factor which which be accounted for as atmospheric, topographic, geometric and radiometric noise will all play a significant factor, and if these are greater then the scale of change being detected than the sensitivity to that change is null. A lots of literature has been conducted on monitoring agriculture or forestry with medium resolution sensors. As Izidor stated, the sensitivity is application dependent. If you have a uniform, heterogeneous forest stand with trees of a similar condition, on a flat surface with repeat observations from the same viewing geometry, and atmospheric noise is very low, then the sensitivity to changes in the crop will be higher than in a scenario where any of the other variables fluctuate temporally / spatially. The scale of the change being detected will also factor. It is helpful to establish a baseline behaviour from historic imagery (where conditions are as stable as possible) and then and changes can be detected with greater confidence, but only if the noise factors are consistently and accurately accounted for,
I hope this helps.
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