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OSM water layer scripts

The scripts to generate OSM Water Layer

http://hydro.iis.u-tokyo.ac.jp/~yamadai/OSM_water/index.html

Dai Yamazaki, 2nd April 2021

Requirement

Install OSMOSIS, GDAL, Fortran. The scripts are written for MacOS. Modifications might be needed for other environment.

Procedures

[1] Prepare "sea mask" from OSM water-polygons

  • Work in OSM_sea/ directory.
  • Detailed procedure written in ReadMe.md in OSM_sea/

[2] Create OSM water layer

  • Make a project directory (sample calc_2021Feb/ to process the OSM planet data at that time)
  • Go to extract_water/ directory.
  • Make osm/ directory, and download the latest planet.pbf from servers.
  • Then, follow the instruction in ReadMe.md in calc_2021Feb/ directory.

[3] (optional) Create High-resolution OSM water layer

  • Make a high-res project directory (sample hires_2021Feb/ )
  • Then, follow the instruction in ReadMe.md in hires_2021Feb/ directory.

[4] Prepare distribution data

  • Goto distribute/ directory.
  • Edit copy.sh, and execute it.
  • Edit copy_hires.sh, and execute it.

=== OSM PBF file ===

extract_water/osm/water/planet-all.osm.pbf

OSM_WaterLayer.pbf

This is "derived data" and thus should be distributed under ODbL 1.0 license.

=== Rasterized data ===

Binary: merge_water/5deg/ GeoTiff: merge_water/tif/

Binary: 5deg/ GeoTiff: OSM_WaterLayer_tif

These data are "creative works"(not derived data) according to the OpenStreetMap guideline. So we can put any license. Now this is distributed under CC-BY 4.0.

Water classification in rasterlized data

Below values are used in rasterlized data. 0: land 1: ocean 2: large water body (poligon) 3: majopr river 4: canal 5: small stream

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Languages

  • Fortran 56.9%
  • Shell 35.2%
  • Python 4.0%
  • Makefile 3.9%