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Datasets of Disturbance, Phenology, Peak Summer Greenness and Land Cover for Landsat for ABoVE

Curtis Woodcock, Boston University, curtis@bu.edu (Presenter)
Mark Friedl, Boston University, friedl@bu.edu
Damien Sulla-Menashe, Boston University, sullamenashe@gmail.com
Eli Melaas, Boston University, emelaas@bu.edu
Jonathan Wang, Boston University, jonwang@bu.edu
Letitia Lee, Boston University, leticial@bu.edu

The purpose of our poster is to update the ABoVE Science Team on our efforts to provide datasets on disturbance (date and magnitude), phenology (onset and senescence), peak summer greenness, and land cover. All of these datasets are derived primarily from the entire Landsat archive of TM and ETM+ data for the region at 30m spatial resolution. The first major step was to “tile” the archive so that each available observation for each pixel could be used in processing. A second major step has been to run the Continuous Change Detection and Classification (CCDC) algorithm for the entire region. To date, the change detection component, which is the most computationally intensive, has been completed for most of the ABoVE study area. Production of the disturbance datasets will be based on the results from CCDC and their final formulation remains under development. Development of the peak summer greenness, phenology and land cover products also depend on CCDC results, and are being developed for implementation upon completion of the disturbance datasets. We will show maps of progress to date, sample products and descriptions of the algorithms being used.

Associated Project(s): 

Poster Location ID: 38

Session Assigned: Vegetation Dynamics and Distribution

 


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