UM Geospatial Digital Special Collections

Citation: Tyler Harrison, Amy C Clement, Gina L. Maranto, Sam Purkis, Joanna L. Lombard, Angela C. Clark-Hughes, Abraham K Parrish, Marcus B Reamer, Olivia Collins, Caroline Lewis, Mayra Cruz, Anaruth Solace (2021). 2021 Miami-Dade NDVI [gis dataset]. University of Miami. https://doi.org/10.17604/p318-6n41. last updated: 2025-05-07 (update frequency: Never). Abstract: Greenness measured as a recentered NDVI (Normalized Difference Vegetation Index) moved from -1:1 to 1-100. Key words: Florida, Miami-Dade County, MDC, Miami-Dade County, Environment, NDVI, Hylo, Homestead, Little River, Public-Safety Open Geospatial Consortium Standards: raster tiles | raster tile url: https://gdsc.idsc.miami.edu/rastertiles/mdc_2021_ndvi_greenness_30m/{z}/{x}/{y}.png | WMS (coming soon) | WFS (coming soon) Analytical Functions: gdsc_zonal_statistics(table=mdc_2021_ndvi_greenness_30m,lat=25.718,lng=-80.279,radius=500) ETL documentation

ETL for mdc_2021_ndvi_greenness_30m

######### # GDSC ETL is performed in two steps: shell script to ETL data into postgres # and then additional transformations with SQL in postGIS (if needed). #### ######### # Step 1 - bash script (pseudo code) #### # create directory structure and move into it mkdir -p /data/mdc_2021_hylo/{download,mdc_2021_ndvi_greenness_30m/etl} && cd /data/mdc_2021_hylo # set update flag based on last update and update frequency do_update=0 if date() < last_update + update_frequency else do_update = 1 # download if update flag is set: if do_update == 1 then wget -O download/mdc_2021_hylo.zip 'https://scholarship.miami.edu/view/fileRedirect?instCode=01UOML_INST&filePid=13395678880002976&download=true' # unzip to download directory if update flag is set if do_update == 1 then unzip -d download download/mdc_2021_hylo.zip && rm download/mdc_2021_hylo.zip ' # load raster into postGIS with: raster2pgsql -s 3857 -d -C -I GeoTIFF_Rasters/Greenness_30m_MDC.tif -F -t 256x256 mdc_2021_ndvi_greenness_30m > load_raster.sql psql < load_raster.sql rm load_raster.sql # create color raster mkdir -p /tiles/raster/mdc_2021_ndvi_greenness_30m mkdir -p /data/mdc_2021_hylo/mdc_2021_ndvi_greenness_30m/derived cd /data/mdc_2021_hylo cat > /data/mdc_2021_hylo/mdc_2021_ndvi_greenness_30m/derived/mdc_2021_ndvi_greenness_30m_color_ramp.txt <<_EOF nd 0 0 0 0 178 0 68 27 255 160.2 0 109 44 255 142.4 29 134 65 255 124.6 53 159 84 255 106.8 85 181 103 255 89 123 199 124 255 71.2 158 215 152 255 53.4 187 228 181 255 35.6 213 239 207 255 17.8 233 247 229 255 1 247 252 245 255 0 0 0 0 0 _EOF gdaldem color-relief download/GeoTIFF_Rasters/Greenness_30m_MDC.tif /data/mdc_2021_hylo/mdc_2021_ndvi_greenness_30m/derived/mdc_2021_ndvi_greenness_30m_color_ramp.txt /data/mdc_2021_hylo/mdc_2021_ndvi_greenness_30m/derived/mdc_2021_ndvi_greenness_30m_color.tif -alpha # create color raster and render raster tiles mkdir -p /data/mdc_2021_hylo/mdc_2021_ndvi_greenness_30m/derived cd /data/mdc_2021_hylo echo "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" | base64 -d > /data/mdc_2021_hylo/mdc_2021_ndvi_greenness_30m/derived/mdc_2021_ndvi_greenness_30m_legend.png cp /data/mdc_2021_hylo/mdc_2021_ndvi_greenness_30m/derived/mdc_2021_ndvi_greenness_30m_legend.png /tiles/raster/mdc_2021_ndvi_greenness_30m/ # render raster tiles cd /data/mdc_2021_hylo/mdc_2021_ndvi_greenness_30m/ gdal2tiles.py -ex --xyz -z 8-16 /data/mdc_2021_hylo/mdc_2021_ndvi_greenness_30m/derived/mdc_2021_ndvi_greenness_30m_color.tif /tiles/raster/mdc_2021_ndvi_greenness_30m