Description
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Raster data indicating the timing (annual), location (30 m resolution) and type of disturbance occurring in California in the years 1985 - 2021. Estimates are derived by applying a change detection algorithm to time series of Landsat data and using machine learning, calibrated against existing geospatial datasets, to classify detected breaks. Legend: 1 is fire, 2 is timber harvest, 3 is drought-induced forest die-off, 4 is unattributed greening, and 5 is unattributed browning. Greening and browning refer to events that trigger a statistical change in remote sensing time series, but is not classified as a disturbance. The fire, harvest, and die-off disturbances mapped are those of relatively high severity. Data are organized into 5000 x 5000 pixel tiles that match the tiling system used for the USGS Analysis Ready Data Landsat Collection 2 data product (C2). See: https://www.usgs.gov/landsat-missions/landsat-shapefiles-and-kml-files for more information and https://landsat.usgs.gov/ard_tile for a tool to look up ARD tiles according to overlapping lat/long coordinates. Each band in each raster is associated with a particular year from 1985 - 2021. The first band refers to the year 1985; the second to 1986, etc.
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Notes
| Legend: 1 is fire, 2 is timber harvest, 3 is drought-induced forest die-off, 4 is unattributed greening, and 5 is unattributed browning. Greening and browning refer to events that trigger a statistical change in remote sensing time series, but is not classified as a disturbance. |