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Study Unravels Dynamics of Plant Stress Using Solar-Induced Chlorophyll Fluorescence
A study published in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing sheds light on how plants respond to stress, specifically in the case of cotton plants affected by verticillium wilt (VW). This disease can wreak havoc on cotton crops but understanding how it affects the plants at the photosynthetic physiological level has been a challenge.
May 27, 2024
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AI Contributes to Ocean Eddy Detection by Synthetic Aperture Radar
Scientists at the Aerospace Information Research Institute (AIR) under the Chinese Academy of Sciences (CAS), in collaboration with their international collogues, have proposed a state-of-the-art deep-learning network, named EOLO, aiming to improve the detection of ocean eddies observed in C-band spaceborne synthetic aperture radar (SAR) imagery. This work has been published in Remote Sensing of Environment , which combines advanced AI algorithms with high-resolution spaceborne SAR data, providing a methodological basis for further studies of sub-mesoscale eddies.
May 20, 2024
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Unlocking Power of Hyperspectral Satellite Data：NODA's Global Initiative for Scientific Collaboration
Hyperspectral satellites offer more precise quantitative analysis than multipectral satellites, making them invaluable for global ecological monitoring, crop identification, and biodiversity research.On May 6, 2024, the world's first 10-meter-resolution Wide-Swath Hyperspectral Satellite Dataset (OHS-10M) was officially opened to global users for sharing.
May 16, 2024
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New Global Wetland Maps Offer Detailed Insight into Ecosystem Health
A research team led by Prof. LIU Liangyun from the Aerospace Information Research Institute (AIR) with the Chinese Academy of Sciences (CAS) has unveiled a comprehensive set of global wetland maps, shedding light on these vital ecosystems like never before.
May 08, 2024
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Multimodal AI Foundation Models in Earth Observation Unlock Power of Remote Sensing Data
In a recent editorial published in the Innovation Geoscience, researchers from the Aerospace Information Research Institute (AIR) with the Chinese Academy of Sciences (CAS) highlight the significant advances in multimodal AI foundation models in Earth observation techniques, particularly in unlocking the power of remote sensing big data, and their profound impact on our understanding of the planet's various facets.
Apr 29, 2024
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