Global ensemble of land cover indicators at 100 m (2000-2019): Built-up (part 1 of 2)
Authors/Creators
- 1. OpenGeoHub Foundation
Description
This dataset provides a global time series of land cover indicators at 100 m spatial resolution for the period 2000–2024. It is part of a global ensemble of eight land cover indicators derived from two global land cover products, namely GLAD GLCLUC and GLC_FCS30D.
The dataset was generated by combining the source land cover products through temporal interpolation, weighted averaging, and class overwriting. The native resolution of the source products is 30 m. The resulting data were resampled to 100 m using average resampling and are provided as COGs.
The eight land cover indicators included in the overall dataset are:
tfshortveg, tftrees, wtshortveg, wttrees, water, cropland, snowice, builtup
Further details on the methodology, source datasets, processing workflow, and data structure are available in the associated GitHub repository.
This Zenodo record contains the built-up (builtup) indicator. The indicator represents likelihood of man-made infrastructure, commercial, or residential surfaces.
- Value type: Percentage (0-100%)
- Years covered: 2000-2019
Files
lc_glad.glcfcs30d.builtup_pc_100m_s_20000101_20001231_go_epsg.4326_v20260107.tif
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Additional details
Related works
- Is supplemented by
- Software: https://github.com/Open-Earth-Monitor/land-cover-indicators (URL)
Software
- Repository URL
- https://github.com/Open-Earth-Monitor/land-cover-indicators
- Programming language
- Python
- Development Status
- Active
References
- Global Land Analysis and Discovery (GLAD), University of Maryland. GLAD Global Land Cover and Land Use Change (GLCLUC). https://glad.umd.edu/dataset/GLCLUC2020
- Zhang, X. et al. (2024). GLC_FCS30D: the first global 30 m land-cover dynamics monitoring product with a fine classification system for the period from 1985 to 2022. Earth System Science Data, 16, 1353-1381. https://doi.org/10.5194/essd-16-1353-2024