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Found 4 papers, 1 papers with code
Global OpenBuildingMap -- Unveiling the Mystery of Global Buildings
Specifically, if solar panels were placed on the roofs of all buildings, they could supply 1. 1-3. 3 times -- depending on the efficiency of the solar device -- the global energy consumption in 2020, which is the year with the highest consumption on record.
Data-Centric Machine Learning for Geospatial Remote Sensing Data
These examples provide concrete steps to act on geospatial data with data-centric machine learning approaches.
Using Machine Learning to predict extreme events in the Hénon map
Machine Learning (ML) inspired algorithms provide a flexible set of tools for analyzing and forecasting chaotic dynamical systems.
Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping -- Challenges and Opportunities
Therefore, this paper seeks to make a case for the application of weakly supervised learning strategies to get the most out of available data sources and achieve progress in high-resolution large-scale land cover mapping.
Weakly-supervised Learning
Weakly supervised Semantic Segmentation
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