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Study Reveals Uniqueness of SDGSAT-1 in Detecting Offshore Oil and Gas Flaring
A study published in the International Journal of Digital Earth on December 25 introduces a pioneering application of the Sustainable Development Science Satellite-1 (SDGSAT-1) in observing offshore oil and gas platforms. Researchers from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences leveraged the advanced capabilities of SDGSAT-1's Glimmer Imager (GLI) and Thermal Infrared Spectrometer (TIS) to probe the gas flaring activities in the South China Sea.
Jan 16, 2025
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China Launches Cloud platform to Share Remote-sensing Achievements
BEIJING, Nov. 22 (Xinhua) -- China launched an open cloud platform on Friday to provide the public with a series of aerospace information application services, including remote-sensing data. The GEOVIS Cloud Open Platform is expected to support fields such as smart agriculture, environmental protection, urban planning, traffic monitoring and natural disaster warning.
Nov 24, 2024
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Celebrating Three Years Since the Launch of SDGSAT-1
On Nov. 5, 2024, the International Research Center of Big Data for Sustainable Development Goals (CBAS) held a symposium in Beijing to commemorate the third anniversary of the launch of the Sustainable Development Science Satellite-1 (SDGSAT-1). With an aim to review the valuable experiences and fruitful outcomes since the launch of the SDGSAT-1 satellite, the symposium explores the use of space observation technology to support global sustainable development, and promotes interdisciplinary and cross-domain cooperation and exchange.
Nov 10, 2024
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Chinese Scientists Develop Revolutionary Multi-Dimensional Data Format for Remote Sensing
After more than a decade of dedicated work, Zhang’s team at AIR has become the first in the world to develop a fully integrated approach to managing multi-dimensional spatial-temporal-spectral data. This approach unifies spatial, temporal, and spectral data into a single format, making data organization, visualization, and extraction more streamlined than ever. The new MDD format brings remarkable gains in efficiency and accuracy to remote sensing analysis.
Nov 12, 2024
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OCANet: A Powering Tool for Accurate Building Identification in Satellite Imagery
A new study introduces OCANet, a powerful tool for accurately identifying buildings in satellite images, marking an advancement in urban mapping technology. Published in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing on October 21, the study highlights how OCANet can make city planning, disaster response, and environmental monitoring more effective.
Nov 08, 2024
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