GlobalBuildingMap -- Unveiling the Mystery of Global Buildings
Not on the map. Why?
Abstract (arXiv)
Understanding how buildings are distributed globally is crucial to revealing the human footprint on our home planet. This built environment affects local climate, land surface albedo, resource distribution, and many other key factors that influence well-being and human health. Despite this, quantitative and comprehensive data on the distribution and properties of buildings worldwide is lacking. To this end, by using a big data analytics approach and nearly 800,000 satellite images, we generated the highest resolution and highest accuracy building map ever created: the GlobalBuildingMap (GBM). A joint analysis of building maps and solar potentials indicates that rooftop solar energy can supply the global energy consumption need at a reasonable cost. 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. We also identified a clear geospatial correlation between building areas and key socioeconomic variables, which indicates our global building map can serve as an important input to modeling global socioeconomic needs and drivers.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 8 of its 54 references that are in the map. First posted on arXiv 22 Apr 2024.
Builds on
8 of 54 references.
References · 8
- 2016Densely Connected Convolutional Networkscited by 6,720
- 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,442
- 2016The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentationcited by 122
- 2021TorchGeo: Deep Learning With Geospatial Datacited by 73
- 2021Continental-Scale Building Detection from High Resolution Satellite Imagerycited by 50
- 2017Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networkscited by 24
- 2023High-Resolution Building and Road Detection from Sentinel-2cited by 15
- 2019Outlining where humans live -- The World Settlement Footprint 2015cited by 5
Built on by
Citing papers per year: 2025: 2.
2 papers.