用卫星嵌入分析巴西大西洋森林修复成效，识别早期成功迹象。
Characterizing Brazilian Atlantic Forest Restoration Outcomes with Geospatial AlphaEarth Embeddings
- 用AlphaEarth模型的卫星嵌入表征修复地块
- 通过与成熟次生林对比，量化修复进度
- 可区分不同土地利用类型，但信号仍需优化
巴西大西洋森林是关键生物多样性热点，现存原始林面积不足12-15%。大规模监测森林修复至关重要，但传统方法受限于实地调查的不切实际及遥感指数（如NDVI）的饱和问题。且造林是渐进过程，不同于毁林的快速光谱变化。本研究分析圣保罗州1,729个修复地块，采用AlphaEarth基金会模型的卫星嵌入评估其对早期修复成效的表征能力。提出‘参考轨迹嵌入’概念，以余弦相似度衡量与成熟次生林参考样本的匹配度。在嵌入空间中观察到按不同土地利用/覆被（LULC）类型划分的明显聚类，能识别出具有清晰变化向量的地块。然而，信号存在噪声，嵌入可能需进一步微调以捕捉并预测超出LULC的站点元数据。
原文摘要 · Abstract (English)
The Atlantic Forest in Brazil is a critical biodiversity hotspot, yet less than 12-15% of its original cover remains. Although monitoring forest restoration on a large scale is essential, traditional methods are limited by the impracticality of on-the-ground reporting on such a scale and by the saturation of remote-sensing indices such as NDVI. Furthermore, reforestation is a gradual process as opposed to the rapid spectral changes caused by deforestation. In this study, we examine 1,729 restoration sites in São Paulo, using satellite embeddings from the AlphaEarth Foundation's model to evaluate their effectiveness in characterising early restoration success. We introduce the concept of a 'Reference Trajectory Embedding', defining a metric of restoration success based on cosine similarity to reference sites of mature secondary forest. We observe distinct clusters in embedding space according to different land use and land cover (LULC) types, and we can identify sites with clear change vectors. However, the signal can be noisy, and embeddings may require further fine-tuning to capture and predict site metadata beyond LULC.
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