用地理嵌入技术高效生成多源遥感作物地图
Cropland Mapping using Geospatial Embeddings
- 基于Presto和AlphaEarth的地理嵌入构建作物分布图
- 在多源遥感数据下实现高精度作物识别
- 适合需要快速更新土地利用变化的研究者
准确且及时的土地覆盖图对理解土地利用变化——气候变化的关键驱动因素——至关重要。地理嵌入为景观特征映射提供了更高效、易获取的方法，但其在真实世界制图应用中的潜力仍待发掘。本文评估了地理嵌入在多哥作物地图绘制中的实用性，使用Presto和AlphaEarth的嵌入生成了作物地图。结果表明，地理嵌入可简化工作流程，实现高精度作物分类，最终支持对土地利用变化及其气候影响的更好评估。
原文摘要 · Abstract (English)
Accurate and up-to-date land cover maps are essential for understanding land use change, a key driver of climate change. Geospatial embeddings offer a more efficient and accessible way to map landscape features, yet their use in real-world mapping applications remains underexplored. In this work, we evaluated the utility of geospatial embeddings for cropland mapping in Togo. We produced cropland maps using embeddings from Presto and AlphaEarth. Our findings show that geospatial embeddings can simplify workflows, achieve high-accuracy cropland classification and ultimately support better assessments of land use change and its climate impacts.
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