FROM-GLC Plus: Multi-temporal and multi-resolution global land-cover mapping datasets
Authors/Creators
Description
This dataset provides a global annual 1 km fractional land-cover product from 1982 to 2024 based on the FROM-GLC Plus framework. The framework integrates multi-source satellite imagery, spatio-temporal sample migration, time-series reconstruction, knowledge-guided inference, and multimodal observations to support scalable mapping from 30 m to meter/sub-meter resolution and from annual to daily temporal frequency. The dataset was generated by aggregating high-resolution annual land-cover maps to 1 km resolution. Each 1 km pixel stores the proportional cover of major land-cover classes, allowing mixed land-cover composition to be represented explicitly. It is suitable for long-term land-cover change analysis, ecosystem monitoring, biodiversity assessment, and Earth system applications.
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(666 Bytes)
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Additional details
References
- Yu, L., Du, Z., Dong, R., Zheng, J., Tu, Y., Chen, X., ... & Gong, P. (2022). FROM-GLC Plus: Toward near real-time and multi-resolution land cover mapping. GIScience & Remote Sensing, 59(1), 1026-1047.
- Du, Z., Yu, L., Arvor, D., Li, X., Cao, X., Zhong, L., ... & Gong, P. (2024). Dual data-and knowledge-driven land cover mapping framework for monitoring annual and near-real-time changes. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-14.
- Yu, L., Du, Z., Li, X., Gu, J., Li, X., Zhong, L., ... & Peng, D. (2025). FROM-GLC Plus 3.0: Multimodal Land Change Mapping with SAM and Dense Surface Observations. Journal of Remote Sensing, 5, 0728.