Dr. Lianchong Zhang Profile

Dr. Lianchong Zhang

at Institute of Remote Sensing and Digital Earth CAS

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Publications (2)

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SPIE Journal Paper | 2 August 2022 Open Access

Extraction and analysis of elevation changes in Antarctic ice sheet from CryoSat-2 and Sentinel-3 radar altimeters

Song Li, Jingjuan Liao, Lianchong Zhang

JARS, Vol. 16, Issue 03, 034514, (August 2022) https://doi.org/10.1117/12.10.1117/1.JRS.16.034514

KEYWORDS: Data modeling, Radar, Satellites, Climate change, Data centers, Backscatter, Filtering (signal processing), Calcium, Statistical analysis, Data fusion

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New radar altimeters have supported elevation modeling with greater accuracy and extended periods in recent years. Sentinel-3 has been rarely used in previous studies for monitoring the Antarctic ice sheet. The CryoSat-2 and Sentinel-3 satellite radar altimeter data were combined to extract the elevation changes in the Antarctic ice sheet. First, a subregional data filtering method based on a clustering algorithm was proposed to improve the accuracy of the elevation change results for the outliers in the original measurements. Next, an improved model-fitting model that incorporated multiple parameters was used to extract elevation changes, and the results were validated using airborne laser altimetry data and ICESat-2 data. The average changes in the Antarctic ice sheet elevation from 2016 to 2019 were −4.3 ± 0.9 cm / y. The elevation changes of the ice shelf edges with large slopes and complex topography were much larger than the interior. Some specific areas showed substantial elevation changes. The most significant surface decreases occurred at the Pine Island Glacier and the Totten Glacier, while a pronounced surface heightening existed at the Kamb Ice Stream. We reveal an effective method for combining Antarctic ice sheet data from new radar altimeters. This method supports the long-term monitoring of the Antarctic ice sheet and global climate change in the future.

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Proceedings Article | 9 October 2019 Presentation + Paper

International reanalysis cooperation on carbon satellites data

J. Zhao, L. Yao, Z. C. Huang, L. C. Zhang, Y. Liu, G. Q. Li

Proceedings Volume 11152, 111520L (2019) https://doi.org/10.1117/12.2538614

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According to current huge data requirements for the global climate change assessment, DBAR Data Sharing Principles, as well as the national policymaking in response to the global agreement (Framework Convention on Climate Change (FCCC)) on combating climate change, to reform the research mode of carbon data based exploration, to integrate carbon satellite data, models and computing technologies to advance interdisciplinary study, and to implement a big earth data e-science platform for global carbon researches are very essential and necessary. Cooperation on the Analysis of carbon Satellites data (CASA), a new international scientific programme, was approved by the Chinese Academy of Sciences (CAS) in 2018, which was participated by CAS/Institute of Atmospherics Physics and National Super Computer Center in Wuxi. Massive data resources (standard, value-added carbon satellite products and auxiliary data), relevant analysis models, and the super-computing capacity (100 trillion FLOPs computing power and 1 PB of storage) has been integrating into the CASA big e-science platform. Forthcoming products, including carbon satellites standard products, higher precision CO₂ reprocessed products, and application dataset based on above two kinds of CO₂ products, are processed and analyzed online on the CASA e-science platform. The first global XCO₂ product produced from TanSat will be released at September of 2019. Research mode of carbon data-based is going to be reformed under the support of big data and supercomputing power.

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