[Geo4All] Hydrography90m + Course Info

[Giuseppe Amatulli]

Dear Colleagues
I want to point to your attention to a new global dataset that we have just
released:

*Hydrography90m*: a new hydrographic network that accurately delineates
streams and rivers, along with their topographic and topological
properties.
Preprint Article: https://essd.copernicus.org/preprints/essd-2022-9/
Dissemination Video: https://doi.org/10.5446/56343   (slow connection
https://www.youtube.com/watch?v=iw5auVoPXf8&t=107s)

This work is the effort of 3 years of intensive coding using only open
source software:
GDAL: for tiling, cropping, mosaicking, merging, image compression.
Pktools: for masking, histogram, re-classification.
GRASS GIS for computing the hydrographies.

The overall computation accounted for a total of 52 scripts containing over
4000 code lines, took 12,418 core-hours at the High Performance Computing
(HPC) facility of the Center for Research Computing, Yale University.

This is only one example of massive geo-computation that we perform
using skills and knowledge that we teach at our training course:
Geocomputation and Machine Learning for Environmental Applications
<http://spatial-ecology.net/geocomp_ml_2022-announcement/>.
A Few spots are still available, please follow the link (
http://spatial-ecology.net/geocomp_ml_2022-announcement/)  to know more
about the course.

Enjoy clever computation
Best regards

-- 
Giuseppe Amatulli, Ph.D.

Research scientist at
School of the Environment
Yale University
New Haven, CT, USA - 06511
Twitter: @BigDataEcology <https://twitter.com/BigDataEcology>
Teaching: http://spatial-ecology.net
Work:  https://environment.yale.edu/profile/giuseppe-amatulli/
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