[Ráfaga] #2205: christmas, greenhouse, land, typhoons, birds

[Rafagas team]

#2205: christmas, greenhouse, land, typhoons, birds

Fri, 05 Jan 2024 by Raf

* A combination of Qgis, SedonaDB, and US Forest Motor Vehicle User
Map (MVUM) data to go out and find the best Christmas tree in a nearby
national forest

https://lyonwj.com/blog/finding-christmas-tree-us-forest-service-mvum-qgis-sedonadb-wherobots

* Satellites, remote sensing techniques and AI to provide a detailed
view of global greenhouse gas emissions worldwide

https://climatetrace.org/

* Multistage Semantic Segmentation with Convolutional Neural Networks
to Quantify Small Habitat Fragmentation at the Landscape Scale and
Create Accurate Land Use Maps

https://www.mdpi.com/2072-4292/15/22/5277

* The Digital Typhoon Project repository of data and software is not
only useful for machine learning, but also for quantitative analysis
of meteorological studies

http://agora.ex.nii.ac.jp/digital-typhoon/dataset/

* SatBird is a dataset for modeling the distribution of bird species
using remote sensing and citizen science data

https://satbird.github.io/

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Translated by Isaac, Jaume, Jorge, and Wladimir

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