Status and Updates of the Continuous Change Detection and Classification (CCDC) Algorithm

Authors: Zhe Zhu*, Texas Tech University
Topics: Remote Sensing
Keywords: CCDC, LCMAP, Landsat, Time Series, Change
Session Type: Paper
Day: 4/11/2018
Start / End Time: 1:20 PM / 3:00 PM
Room: Iberville, Marriott, River Tower Elevators, 4th Floor
Presentation File: No File Uploaded


Mapping land-cover, land-use, and land-surface dynamics is particularly challenging due to the variety of land-cover/land-use types, the large difference in spectral and temporal characteristics for each land-cover/land-use category, and the different causes of land-surface dynamics. An algorithm called Continuous Change Detection and Classification (CCDC) has been developed to monitor land-cover, land-use and land-change by using all available Landsat data. The CCDC has been chosen as the core algorithm for the U.S. Geological Survey Land Change Monitoring, Assessment, and Projection (LCMAP) program, and will be used to generate annual land-cover, land-use, and land-surface dynamics maps for the entire Conterminous US. Here, we will report the status and updates we have made for the CCDC algorithm.

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