BioMassters

BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series https://nascetti-a.github.io/BioMasster/

The objective of this repository is to provide a deep learning ready dataset to predict yearly Above Ground Biomass (AGB) for Finnish forests using multi-temporal satellite imagery from
the European Space Agency and European Commission's joint Sentinel-1 and Sentinel-2 satellite missions, designed to collect a rich array of Earth… See the full description on the dataset page: https://huggingface.co/datasets/nascetti-a/BioMassters.

BioMassters：基于多时相卫星影像的森林生物量估算基准数据集
该数据集旨在为深度学习提供准备就绪的集合，以预测芬兰森林的年度地上生物量（AGB），利用欧洲航天局和欧洲委员会联合发射的哨兵-1号和哨兵-2号卫星任务的多时相卫星影像，旨在收集丰富的地球……请访问数据集页面以获取完整描述：https://huggingface.co/datasets/nascetti-a/BioMassters.

搜集汇总

背景与挑战

背景概述

BioMassters是一个用于森林生物量估计的基准数据集，基于多模态卫星时间序列数据，专门针对芬兰森林设计。数据集包含Sentinel-1和Sentinel-2卫星的12个月观测数据，总规模约201GB，涵盖训练和测试特征，旨在通过深度学习预测年度地上生物量。