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Today, at the 2nd National Remote Sensing Geography Conference held in Kashgar, Xinjiang, “Ten Frontier Issues in Remote Sensing Science and Technology” was released, pointing out the direction for the future innovation, development, technical research and industrial application of remote sensing geography disciplines in China. “Ten Frontier Issues in Remote Sensing Science and Technology” include: multi-dimensional remote sensing radiation transmission mechanism and cognitive unified modeling; intelligent extraction of remote sensing information on material and energy cycle processes in the Earth's surface system; collaborative observation theory and methods for remote sensing satellite virtual constellations; quantitative inversion of key geoscience parameters driven by remote sensing large models and agents; multi-modal remote sensing real-time intelligent processing technology; remote sensing detection of habitable planets and habitable environments; multi-modal fusion of remote sensing and social sensing data to support human-terrestrial system coupling process recognition; multi-scale remote physical process remote sensing Perspective detection; real-time monitoring of global natural disasters by remote sensing and early warning technology; remote sensing prediction of the impact of global climate change on regional ecosystems.
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Today, at the 2nd National Remote Sensing Geography Conference held in Kashgar, Xinjiang, “Ten Frontier Issues in Remote Sensing Science and Technology” was released, pointing out the direction for the future innovation, development, technical research and industrial application of remote sensing geography disciplines in China. “Ten Frontier Issues in Remote Sensing Science and Technology” include: multi-dimensional remote sensing radiation transmission mechanism and cognitive unified modeling; intelligent extraction of remote sensing information on material and energy cycle processes in the Earth's surface system; collaborative observation theory and methods for remote sensing satellite virtual constellations; quantitative inversion of key geoscience parameters driven by remote sensing large models and agents; multi-modal remote sensing real-time intelligent processing technology; remote sensing detection of habitable planets and habitable environments; multi-modal fusion of remote sensing and social sensing data to support human-terrestrial system coupling process recognition; multi-scale remote physical process remote sensing Perspective detection; real-time monitoring of global natural disasters by remote sensing and early warning technology; remote sensing prediction of the impact of global climate change on regional ecosystems.
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