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From the same source of soil data (www.OpenLandMap.org) there is a dataset of global density of rivers and upstream area that can be used to infer the effect of hydrology on forest dynamics and diversity at scale.
Here is the link to the derived dataset:
Global river density, seasonal and surface water occurrence and upstream area: https://zenodo.org/record/3355007
The text was updated successfully, but these errors were encountered:
It seems that the rasters are too big to be correctly processed by raster2pgsql
here is the error I get by running ./raster2pgsql
Processing 1/1:/Users/sergiomarconi/Downloads/hyd_river.density_gloric_p_250m_b0..0cm_2018_v10.gh.tif
WARNING: The size of each output tile may exceed 1 GB. Use -t to specify a reasonable tile size
ERROR: rt_raster_new: Dimensions requested exceed the maximum (65535 x 65535) permitted for a raster
raster2pgsql(91429,0x2007e3e00) malloc: *** error for object 0x6000000000000000: pointer being freed was not allocated
raster2pgsql(91429,0x2007e3e00) malloc: *** set a breakpoint in malloc_error_break to debug
zsh: abort ./raster2pgsql
From the same source of soil data (www.OpenLandMap.org) there is a dataset of global density of rivers and upstream area that can be used to infer the effect of hydrology on forest dynamics and diversity at scale.
Here is the link to the derived dataset:
Global river density, seasonal and surface water occurrence and upstream area: https://zenodo.org/record/3355007
The text was updated successfully, but these errors were encountered: