 The agriculture sector is highly vulnerable to natural disasters and climate change, which can lead to severe impacts on food security, economic stability, and rural livelihoods. Geospatial information and technology have been recognized as a valuable tool to help farmers reduce the adverse impacts of natural disasters on agriculture. Remote sensing and GIS are gaining traction as ways to improve agricultural disaster response due to recent advancements in spatial resolution, accessibility, and affordability. This paper provides a comprehensive overview of the fair agricultural disaster services, including government and organization initiatives, remote sensing-based agricultural disaster monitoring, traditional, integrative, and machine learning-based methods, the role of spatial data infrastructure, and the grand challenges and emerging opportunities. This article was authored by Lei Hu, Chen Xiaoshan, Mingda Zhang, and others.