遇见数据集

African wetland spatial datasets: African inland wetland area on the rise during the 21st century

收藏
Zenodo2026-03-08 更新2026-05-26 收录
官方服务:

资源简介:

This dataset, supporting the manuscript “African inland wetland area on the rise during the 21st century”, contains a time-series of African wetland classification maps for ten historical periods (1984–2021). The time-series classifications were produced using time-series optical observations and topographic–hydrological features in Google Earth Engine, following the methods described in the associated manuscript. Each map provides nine wetland categories plus upland areas at 30 m resolution. All files are provided in GeoTIFF format with a consistent class schema. Historical classification categories (10-period maps, 30 m)0 — Upland1 — Inland surface water2 — Inland marsh3 — Inland swamp forest4 — Inland salt flat5 — Coastal marsh6 — Coastal swamp forest7 — Tidal flat8 — Shallow marine water Additionally, this record includes multi-model, multi-period African wetland spatial simulation datasets, which were cross-validated against the time-series classification products. The simulation outputs are provided per scenario (Historical, SSP126, SSP245, SSP370, SSP585) and per model (14 CMIP6 models) as multi-band GeoTIFF files , together with a README and processing scripts (Google Earth Engine). Simulation categories (per-model CMIP6 simulations)0 — Non-wetland1 — Wetland

提供机构:
Zenodo
创建时间:
2025-12-17
二维码
社区交流群
二维码
科研交流群
商业服务