[Ráfaga]Nº1341: water, deep learning, radar, sustainability

[Jorge Sanz]

Nº1341: water, deep learning, radar, sustainability

Wed, 10 Jun 2020 by Raf

* LHC_Hidroweb is a Python Jupyter notebook to display and download
rain and flow data from Brazil's National Water Agency API

https://alexnaoki.github.io/articles/lhc_hidroweb/lhc_hidroweb

* The two first articles on a series of deep learning cartography
topics: Ground Truth and Model Selection [FR]

https://makina-corpus.com/blog/metier/2020/extraction-dobjets-pour-la-cartographie-par-deep-learning-creation-dune-verite-terrain

* Ground-Penetrating Radar Reveals Entire Ancient Roman City #archeology

https://gizmodo.com/ground-penetrating-radar-reveals-entire-ancient-roman-c-1843955472

* Going Green: who are the top 100 most sustainable companies of the
world and where are they, measured using 21 key business indicators

https://www.visualcapitalist.com/most-sustainable-companies/

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