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