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Analytical Insight of Earth: A Cloud-Platform of Intelligent Computing for Geospatial Big Data

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arxiv 2312.16385 v1 pith:SUQQ3EGR submitted 2023-12-27 cs.DC

classification cs.DC
keywords earthremotesensingcomputingclouddataplatformanalytical
verification ladder T0 review T1 audit T2 compute T3 formal
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The rapid accumulation of Earth observation data presents a formidable challenge for the processing capabilities of traditional remote sensing desktop software, particularly when it comes to analyzing expansive geographical areas and prolonged temporal sequences. Cloud computing has emerged as a transformative solution, surmounting the barriers traditionally associated with the management and computation of voluminous datasets. This paper introduces the Analytical Insight of Earth (AI Earth), an innovative remote sensing intelligent computing cloud platform, powered by the robust Alibaba Cloud infrastructure. AI Earth provides an extensive collection of publicly available remote sensing datasets, along with a suite of computational tools powered by a high-performance computing engine. Furthermore, it provides a variety of classic deep learning (DL) models and a novel remote sensing large vision segmentation model tailored to different recognition tasks. The platform enables users to upload their unique samples for model training and to deploy third-party models, thereby increasing the accessibility and openness of DL applications. This platform will facilitate researchers in leveraging remote sensing data for large-scale applied research in areas such as resources, environment, ecology, and climate.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. How Usable Are Geospatial Foundation Models? A Systematic Evaluation of 89 Models

    cs.HC 2026-08 conditional novelty 7.0 of 10

    A systematic usability evaluation of 89 geospatial foundation models finds severe accessibility gaps, including no surveyed model offering documented uncertainty quantification.

  2. EarthCrafter: Scalable 3D Earth Generation via Dual-Sparse Latent Diffusion

    cs.CV 2025-07 conditional novelty 6.0 of 10

    EarthCrafter generates 600-meter-scale 3D Earth scenes using separate latent diffusion models for structure and texture, conditioned on semantics, images, or nothing.

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