-
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
-
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
-
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
-
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
-
High-Resolution Population Mapping Achieved for Greater Bay Area with SDGSAT-1 Imagery and Deep Learning
A new study published in the International Journal of Digital Earth on October 20 utilizes the advanced capabilities of the Sustainable Development Science Satellite-1 (SDGSAT-1) to produce an unprecedented high-resolution population map of the Guangdong-Hong Kong-Macao Greater Bay Area. Researchers from the Aerospace Information Research Institute (AIR) under the Chinese Academy of Sciences employed SDGSAT-1’s innovative glimmer imaging and advanced deep learning techniques to deliver a more accurate population distribution at a fine scale, offering valuable insights for urban planning, disaster preparedness, and sustainable development.
Nov 05, 2024
News & Events