FoMo-Bench: a multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models

arXiv:2312.10114v2 Announce Type: replace
Abstract: Forests are an essential part of Earth's ecosystems and natural systems, as well as providing services on which humanity depends, yet they are rapidly changing as a result of land use decisions and climate change. Understanding and mitigating negative effects requires parsing data on forests at global scale from a broad array of sensory modalities, and recently many such problems have been approached using machine learning algorithms for remote sensing. To date, forest-monitoring problems have …

abstract arxiv benchmark change climate climate change cs.cv decisions earth ecosystems effects forests foundation humanity modal monitoring multi-modal natural negative part scale sensing services systems type understanding