Announcement: All noncommercial projects registered to use Earth Engine before April 15, 2025 must verify noncommercial eligibility to maintain Earth Engine access.
Stay organized with collections
Save and categorize content based on your preferences.
Implements the Continuous Change Detection and Classification temporal breakpoint algorithm. This algorithm finds temporal breakpoints in an image collection by iteratively fitting harmonic functions to the data. Fit coefficients are produced for all input bands, but the bands used for breakpoint detection can be specified with the 'breakpointBands' argument.
For more details, see Zhu, Z. and Woodcock, C.E., 2014. Continuous change detection and classification of land cover using all available Landsat data. Remote sensing of Environment, 144, pp.152-171.
The name or index of the bands to use for change detection. If unspecified, all bands are used.
tmaskBands
List, default: null
The name or index of the bands to use for iterative TMask cloud detection. These are typically the green band and the SWIR1 band. If unspecified, TMask is not used. If specified, 'tmaskBands' must be included in 'breakpointBands'.
minObservations
Integer, default: 6
The number of observations required to flag a change.
chiSquareProbability
Float, default: 0.99
The chi-square probability threshold for change detection in the range of [0, 1].
minNumOfYearsScaler
Float, default: 1.33
Factors of minimum number of years to apply new fitting.
dateFormat
Integer, default: 0
The time representation to use during fitting: 0 = jDays, 1 = fractional years, 2 = unix time in milliseconds. The start, end and break times for each temporal segment will be encoded this way.
lambda
Float, default: 20
Lambda for LASSO regression fitting. If set to 0, regular OLS is used instead of LASSO.
maxIterations
Integer, default: 25000
Maximum number of runs for LASSO regression convergence. If set to 0, regular OLS is used instead of LASSO.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-07-13 UTC."],[[["Implements the Continuous Change Detection and Classification (CCDC) algorithm to identify temporal breakpoints (changes over time) within an image collection."],["Uses harmonic functions to fit the image data and detect changes based on specified bands and statistical thresholds."],["Offers customization options such as selecting specific bands for change detection, adjusting sensitivity parameters, and configuring the time format for results."],["Provides fit coefficients for all input bands, aiding in understanding the nature of the detected changes."],["Relies on iterative fitting and statistical analysis to pinpoint breakpoints and ensure robust change detection."]]],[]]