# ------------------------------------------------------------- # # Datasets and Descriptions # ------------------------------------------------------------- # # Datasets are split into EU_west and WU_east EU_West: Portugal to Italy EU_East: Greece to Croatia # ------------------------------------------------------------- # # FOLDER: WUI Maps [WUI.rar] # ------------------------------------------------------------- # # Layer - EU_east_WUI_2000.tif --> WUI map for 2000 for "Europe East" - EU_east_WUI_2020.tif --> WUI map for 2020 for "Europe East" - EU_west_WUI_2000.tif --> WUI map for 2000 for "Europe West" - EU_west_WUI_2020.tif --> WUI map for 2020 for "Europe West" # Classes 1 = Intermix WUI (woody dominated); color code = #ED8200 2 = Interface WUI (woody dominated); color code = #F3EA00 3 = Intermix WUI (non-woody dominated); color code = #574935 4 = Interface WUI (non-woody dominated); color code = #AB9322 0 = Non-WUI # Based on Landsat-based Land Cover Fractions (Impervious, woody & non-woody fractions) # ------------------------------------------------------------- # # ------------------------------------------------------------- # # FOLDER: LandCoverFractions # ------------------------------------------------------------- # # Layer: - EU_east_2000_3BandStack.tif - EU_east_2020_3BandStack.tif - EU_west_2000_3BandStack.tif - EU_west_2020_3BandStack.tif # Bands: each layer represents a land cover class, scaled between 0-100% - Band 1: Impervious Fractions (scale 0-100%) - Band 2: Woody Vegetation Fractions (scale 0-100%) - Band 3: Non-Woody Vegetation Fractions (scale 0-100%) Visualization: Stack bands in the RGB feature space R: imperviousness (buildings, paved areas, ...) G: woody vegetation (trees, shrups, orchards, vineyards) B: non-woody vegetation (cropland, grassland, herbs, ...) # Raw Data Source: USGS Earth Explorer # Method: Spectral Unmixing using a Neural Network Regression (NNR) and syntetic Trainng data derived from Image based training data # Preditors: Spectral-Temporal Metrics (STM): derived from annual Landsat Time Series (Images from Jan-01 to Dec 31 of the same year). The Time Series was aggregated to statistical metrics (mean, sd, Q10, Q50, Q90) which as called spectral-temporal band information and spectral indices # ------------------------------------------------------------- # # ------------------------------------------------------------- # # FOLDER: DNDFI [DNDFI.rar] # ------------------------------------------------------------- # # Layer - EU_east_DNDFI_2000_2020.tif - EU_west_DNDFI_2000_2020.tif # Scale: -1.4 to +1.4 +1.4 --> higher positive values indicates transition towards more woody vegetation (greater distance to the 1:1 line) -1.4 --> higher negative values indicates transition towards more non-woody vegetation (greater distance to the 1:1 line) ~0 --> values around 0 indicate low or no vegetation change and indicate being close to the 1:1line # Notes: sometimes fresh burned areas can result in blue patches # ------------------------------------------------------------- #