Data from: Leveraging the full potential of Landsat to investigate inequalities in post-development residential canopy cover (1972-2020)
Data from: Leveraging the full potential of Landsat to investigate inequalities in post-development residential canopy cover (1972-2020)
Paper Abstract: Add once paper is accepted. Dataset details: pred_yearly_residential_cc.zip: Yearly 30 m tree CC predictions - useful for residental areas only (1972-2020) Transition Year.zip: Raster of transition year to developed state for all residential pixels TCA Biggest Loss.zip: Raster to LandTrendr TCA biggest loss end year for all residential pixel See paper: TBD See code on GitHub: ZZMitch/PredictTreeCC_Landsat_1972to2020: Code from the portion of my PhD about using Landsat time-series to predict tree canopy cover from 1972 - 2020. Code will be released as papers are published. (github.com) If you use these data, please reference: TBD
- Natural Resources Canada Canada
- University of Toronto Canada
time-series, canopy cover, suburban development, Landsat, random forest
time-series, canopy cover, suburban development, Landsat, random forest
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