ee.Algorithms.TemporalSegmentation.VCT

Vegetation Change Tracker, an automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks.

The output is a 2D array per pixel containing 6 rows x N years. The output rows contain: input years, VCT landcover mask, magnitude in term of the UD composite, magnitude of distubance in B4, magnitude of distubance in NDVI, magnitude of distubance in dNBR.

See: Huang, C., Goward, S.N., Masek, J.G., Thomas, N., Zhu, Z. and Vogelmann, J.E., 2010. An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks. Remote Sensing of Environment, 114(1), pp.183-198.

UsageReturns
ee.Algorithms.TemporalSegmentation.VCT(timeSeries, landCover, maxUd, minNdvi, forThrMax, nYears)Image
ArgumentTypeDetails
timeSeriesImageCollection

Collection from which to extract VCT disturbances, containing the bands: B3, B4, B5, B7, thermal, NDVI, DNBR and COMP. This collection is expected to contain 1 image for each year, sorted by time.

landCoverImageCollection

Collection from which to extract VCT masks. This collection is expected to contain 1 image for each image in the timeSeries, sorted by time.

maxUdFloat, default: 4

Maximum Z-score composite value for detecting forest.

minNdviFloat, default: 0.45

Minimum NDVI value for forest.

forThrMaxFloat, default: 3

Maximum threshold for forest.

nYearsInteger, default: 30

Maximum number of years.

Examples

JavaScript

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Python

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