Berkeley Indices Trajectory Extractor (BITE) is an algorithm to derive disturbance maps from multi-temporal remote sensing image stacks. BITE features a distinctive processing flow that requires almost no parameters for tuning but a training dataset for fitting statistical learning models. The models are used to predict on the trajectories which are extracted from segmented time-series for multiple spectral indices. For each spectral index, a disturbance map can be derived, and by integrating these maps a final integrated disturbance map is produced via a plurality voting, thus is more accurate that any disturbance map of a spectral index. BITE algorithm was tested to be resistant to data gaps (clouds/shadow/snow) and noises (haze, temporal fluctuation, minor misregistrations).