Multi-sensor integrated application platform for resource satellite images

Hsin Yin Lin, Shu Min Hsu, Yu Heng Tai, Fuan Tsai, Li Hsueh Chang

研究成果: 會議貢獻類型會議論文同行評審

摘要

The multi-temporal resource satellite images over large areas and specific regions are long-term records which can provide users spatial-temporal information for earth observations and change detections. A challenging task for users is the complicated preparation and processing of the satellite images. The multi-sensor application platform is developed to facilitate efficient analyses for various applications, which integrates frequently used optical and radar satellite images, including FORMOSAT-2/FORMOSAT-5, Landsat-7/8, Sentinal-2, Sentinal-1, TerraSAR-X, and ALOS-2. The platform can help users quickly obtain suitable multi-sensor, multi spatial-temporal data without data processing burden. This platform also supports “Open Data Cube” style analysis ready data (ARD) which is an open source project and is successfully integrated into our development of satellite image management system. The platform provides several modules, such as automatic product downloading, cataloging, preparing for ARD, archiving, querying, processing, and analyzing. With this platform, the data providers will be able to manage the significant volumes of data easily and the data users will be able to carry out different applications more efficiently.

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出版狀態已出版 - 2020
事件40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019 - Daejeon, Korea, Republic of
持續時間: 14 10月 201918 10月 2019

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???event.eventtypes.event.conference???40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019
國家/地區Korea, Republic of
城市Daejeon
期間14/10/1918/10/19

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