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Calibration Field Network Project of Land Observation Satellite - SAR Calibration System Passes Design Requirement Analysis Review
The Calibration Field Network Project of National Civil Space Infrastructure “13th Five-Year Plan” Land Observation Satellite - SAR Calibration System passed the design requirement analysis on a review meeting held in Beijing on May 28, 2020. The project is undertaken by the National Key Laboratory of Microwave Imaging Technology.
Jun 03, 2020
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New Scientific Results of Topographic Analysis and Mineral Retrieval from Chang’e-4 Data
The Planetary Remote Sensing team of State Key Laboratory of Remote Sensing Science performs scientific studies on topographic evolution analysis and surface mineral retrieval using images and spectral data acquired by the Yutu-2 rover. A series of recent research results are briefly summarized below.
Jun 01, 2020
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China Ecosystem Spectral Observation Network in Place
From late April to early May, a research team led by Prof. LIU Liangyun at the Aerospace Information Research Institute (AIR) under the Chinese Academy of Sciences (CAS) organized a compaign of construction and annual maintenance of six sites under the China Ecosystem Spectral Observation Network (ChinaSpec for short).
May 20, 2020
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Big Earth Data Indexed by Scopus
Big Earth Data (hereinafter referred as BEDJ), the world's first big data journal on Earth sciences, has been accepted for inclusion in Scopus, the largest abstract and citation database of peer-reviewed literature, marking a milestone that ensures articles published in the journal easily found, and enables authors of the journal to keep track of how often their articles cited by others.
May 14, 2020
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Scientists Develop New Physically-Based Soil Moisture Index from Passive Microwave Observations
Soil moisture (SM) is a pivotal hydrological variable that links the terrestrial water, energy, and carbon cycles. Dr. ZENG Jiangyuan from the Aerospace Information Research Institute (AIR), together with his collaborators have developed a new soil moister index (SMI) to capture the temporal variability of SM. The research has been published in IEEE Transactions on Geoscience and Remote Sensing with the title of "a physically based soil moisture index from passive microwave brightness temperatures for soil moisture variation monitoring".
Apr 28, 2020
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