Published March 8, 2022 | Version v1.2
Software Open

Monitoring Forest Degradation on Google Earth Engine Using Landsat Time Series Analysis - CCDC-SMA Guidance

Creators

  • 1. Department of Earth and Environment, Boston University, 685 Commonwealth Avenue, 16 Boston, MA 02215, United States
  • 2. Department of Biodiversity and Forestry, Ministry of Environmental Protection and Agriculture 19 of Georgia, Tbilisi, Georgia

Description

The attached document is a guideline of monitoring forest degradation using the Continuous Change Detection and Classification - Spectral Mixture Analysis (CCDC-SMA) algorithm, visualizing the time series of CCDC-SMA model fits and displaying forest degradation products on Google Earth Engine (GEE), explained in Chen et al., 2021.

Please click the link below to get access to the GEE repository to run CCDC-SMA: https://code.earthengine.google.com/?accept_repo=users/shijuanchen32/forest_degradation_georgia

Please cite the code as: Chen, S., Woodcock, C.E., Bullock, E.L., Arévalo, P., Torchinava, P., Peng, S. and Olofsson, P., 2021. Monitoring temperate forest degradation on Google Earth Engine using Landsat time series analysis. Remote Sensing of Environment, 265, p.112648.

Files

CCDC_SMA_Degradation_GEE_app_03082022.pdf

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