Release notes

更新时间: 2026-01-15 18:08:31

April 2023

Update

Description

AI Earth product service adjustment notice

The features of the AI Earth product have been migrated to the new platform at https://engine-aiearth.aliyun.com. The old console at https://rsimganalys.console.aliyun.com/overview will be taken offline on May 4, 2023. The new platform offers a wealth of public data resources, additional AI interpretation features, and related value-added services. If you have any questions, join our DingTalk group (ID: 32152986) for assistance.

November 2022

Update

Description

Official release of the AI Earth cloud platform for earth science

The platform combines public data retrieval, online analysis (in Toolbox and developer modes), and AI model training for remote sensing. It offers a one-stop cloud computing service for researchers, government agencies, and enterprise users.

August 2022

Update

Description

Weather forecast product service paused

Due to business adjustments, the AI Earth weather forecast product will suspend its services at the end of August. For questions, contact us at: aiearth@service.aliyun.com

March 2022

Update

Description

Public preview of the AI Earth cloud platform for earth science

The AI Earth cloud platform for earth science is released for public preview. Powered by the robust computing power of Alibaba Cloud, the platform provides cloud analysis for multi-source earth observation data, including remote sensing and meteorological data. It streamlines the entire workflow, from data retrieval and online analysis to custom AI model training. This lowers the cost and complexity of working with remote sensing data.

December 2021

Update

Description

Satellite and UAV Remote Sensing Image Analysis product renamed to AI Earth

AI Earth (Analytical Insight of Earth) leverages the technical expertise of Alibaba DAMO Academy in deep learning, computer vision, and geospatial analysis. It performs intelligent computing and fusion analysis on multi-source remote sensing spatial data. The platform provides solutions for various fields, such as natural resources, water conservancy, environmental protection, and smart agriculture.

May 2021

Update

Description

Satellite and UAV Remote Sensing Image Analysis v4.3 released

1. Optimized online models to improve analysis performance and compatibility with Unmanned Aerial Vehicle (UAV) data. 2. Improved the user experience by optimizing the console workflow. The task management and instance management flows are now separate. 3. Improved system stability by optimizing backend processes for polygon import and image transfer.

February 2021

Update

Description

Satellite and UAV Remote Sensing Image Analysis v4.2 released

1. Added a feature classification function for 10 property types. These types include cultivated land, forest, grassland, buildings, roads, structures, artificial excavation sites, bare land, water bodies, and areas with unknown or cloud/snow cover. 2. Added two object extraction features for greenhouses and farmland plots. The plot extraction feature supports UAV image data. 3. Upgraded the backend architecture to enhance system performance and stability. Improved the monitoring and alerting process to ensure a smooth user experience. 4. Improved the user experience by increasing tile loading speed and optimizing product details.

September 2019

Update

Description

Public preview of the Satellite and UAV Remote Sensing Image Analysis product

The Satellite and UAV Remote Sensing Image Analysis product is released for public preview. It leverages the expertise of Alibaba DAMO Academy in deep learning and computer vision. The product uses deep learning-based technology to intelligently interpret features from satellite and UAV images, such as changes, buildings, land, and rivers. It provides efficient solutions for land resource supervision, river protection, environmental protection, and agricultural yield estimation. The initial features include ground disturbance change detection, new building detection, and building extraction.

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