AI圈报
论文研究普通

Earth embeddings are decomposable records of the land surface

信息来源:arXiv·

内容摘要

Ecological monitoring, carbon accounting and biodiversity assessment increasingly rely on annual Earth embeddings--learned vectors that compress a year of satellite observation for every ten-meter pixel on Earth, consumed in place of the imagery itself. What these vectors mean has not been established. Here we decompose two widely used embedding products and show that they contain individual ecological features, including fire, forest clearing and crop type, validated against independent reference data on events across six continents. The recovered concepts date abrupt canopy loss to the first post-disturbance growing season and resolve severity well enough to separate prescribed fire from wildfire. Small fires that recover quickly are detectable in one product but not the other, which instead separates crops more strongly.
内容分类AI 论文与研究
内容层级普通情报
发布时间(北京时间)
本站收录时间(北京时间)
信息来源arXiv
站内情报编号intel-baf45cb6308cbacdb5eaac2d