Abstract: The water conservancy industry has an increasing demand for “air-space-ground” integrated remote sensing monitoring technology.However, traditional image analysis models often struggle to adapt to the growing diversity of applications.To address this, our goal is to integrate technologies such as distributed storage, virtual management, automated operation and maintenance, and cloud security, to offer cloud services in the form of PaaS and SaaS.The objective is to establish an intelligent image-processing cloud platform called HydrSAI that incorporates advanced artificial intelligence technology and is oriented to industrial applications.This platform integrates image preprocessing, sample collection, specific database construction, model building and optimization, high-performance vector slicing, and cloud computing services, and is equipped with scalable image, sample, and model libraries.This platform was applied to identify artificially disturbed patches in Shenzhen City, and Datengxia reservoir area, showing much better interpretation effect compared to visual interpretation.The HydrSAI serves as an intelligent cloud service platform, providing efficient and convenient image interpretation toolsets for the water conservancy applications.