2023 2nd International Conference on Remote Sensing, Surveying and Mapping (RSSM 2023)
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Prof. Xudong Tong,Nanjing University of Information Science and Technology,China

Biography: Xudong Tong, male, academician of the International Academy of Astronautics, second class professor, former director of the National Bureau of Science, Technology and Industry for National Defense, and chief designer of major science and technology projects of the National High Resolution Earth Observation System. He was selected into the first National "New Century Hundred Thousand Talents Project", was awarded the trans century academic and technical leader of China National Aerospace Corporation, won two second prizes of National Defense Science and Technology Award, one first prize of Military Science and Technology Progress Award, and twice won the "Outstanding Contribution Award of China Manned Space Engineering". In 2021, he will work in Nanjing University of Information Engineering, and in January 2022, he will hire the Dean of the Institute of Remote Sensing and Surveying and Mapping Engineering. It is mainly engaged in aerospace engineering and remote sensing satellite overall technology, satellite application and related information platform construction for industry and region, communication, navigation and remote sensing integration, research on key components of remote sensing payload, and industrialization development of remote sensing application.

Speech Title:China Earth Observation Technology & Data Policy

Abstract: The earth observation technology in China developed in 1975. So far the land, oceanic and meteorological series satellites have been widely applied in China, as well as commercial series remote sensing satellites. There are two major projects in China, high-resolution earth observation system and national civil space infrastructure programme. Together with the development of earth observation technology, the UN and major countries in the world have issued relative data policy of remote sensing satellites. Remote sensing data policy of China originated from China-Brazil Earth Resource Satellite(CBERS), now China has issued series data policy to promote the development of earth observation technology.


Prof. Tarun Kumar Lohani,Arba Minch University/Faculty of Hydraulic & Water Resources Engineering,Ethiopia

Biography: A total of 29 years of teaching, research and administrative experience in various colleges and universities. Organized national and international conferences and chairing many conferences across the globe. He possesses vast experience as Keynote Speaker in various seminars/conferences/symposium. Supervised/Supervising more than 30 post graduate students and 10 PhD scholars. Actively participated in different research activities in the past as well in the ongoing job. He has published more than 85 papers in different peer reviewed indexed journals (Springer, Elsevier, Taylor & Francis, Wiley and others), including a book chapter in Springer Nature, dozens are still awaited to be published and a text book on Groundwater Engineering and Environmental Hydrology which is under final stage of publication. 29 are indexed in Scopus with H-Index: 8 and citations more than 330. A lot consultancy and projects he has completed during his academic tenure and still working on various projects of water technology under different international funded organizations.

Speech Title: Quantification of Flood Risk Extents using Remote Sensing Observations

Abstract: Appropriate identification and mapping of areas that are prone to flooding is a decisive step in the management of flood hazard. An innovative approach for quantification of flood risk extents and calculation/estimate of the economic value due to extraordinary floods in the wet season using RS approach has been used as a trend setter. Flood susceptibility assessment for the selected river watershed is applied and the key flood-influencing components have been quantified using Geographic Detector. The watershed's susceptibility to flooding was determined using major flood conditioning factors such as precipitation, lake level, land cover, soil moisture storage, slope, elevation, and drainage density. The risk detector shows the locations of flood risk areas, the factor detector identifies the factors that cause risk, and the interaction detector shows whether the risk factors interact or cause risk separately. All those detectors have their own importance and applications either independently or in combination.


A. Prof. Qingzhi Zhao, Xi'an University of Science and Technology

Biography: Qingzhi Zhao, male, associate professor, graduated from the School of Surveying and Mapping of Wuhan University, and currently works in Xi'an University of Science and Technology. He served as the reviewer of international SCI and EI journals in surveying and mapping, remote sensing and other fields, such as Journal of Geodesy, GPS Solutions, IEEE Transactions on Geoscience and Remote Sensing, etc., as well as the young editorial board member of Journal of Xi'an University of Science and Technology, and member of the 2022 International Academic Conference Committee on Remote Sensing and Mapping. At present, he is the leader of the near-earth space water environment research group, and his research includes GNSS and RS satellite data processing, GNSS and RS satellite multi-source water vapor fusion inversion and innovative applications. In the past five years, more than 50 SCI, EI and other academic papers have been published in surveying and mapping, remote sensing, meteorology and other fields, including more than 40 papers in SCI and EI by the first or corresponding authors, with a total number of citations exceeding 900, and 10 papers in TOP journals, 2 of 10 papers were selected as ESI highly cited papers in 2021 and 2022, respectively. 5 authorized invention patents and 5 software copyrights; It has won four provincial and ministerial science and technology progress awards, including the first prize, the second prize and the third prize, and one provincial and ministerial technology invention award; Presided over 10 projects including National Natural Science Foundation of China (youth and general), China Postdoctoral Science Foundation of China (general and special funding), Shaanxi Natural Science Basic Research Program, Shaanxi Provincial Department of Education Service Local Special Scientific Research Program, Shaanxi Provincial Department of Education Scientific Research Program, and presided over 1 school level teaching reform project, 1 school level "undergraduate teaching case library" construction project (key), He won the titles of "The Fourth Science and Technology Star of Xi'an University of Science and Technology", "The Sixth Xu Wonderful Young Teacher Award of Xi'an University of Science and Technology", and "Shaanxi Young Science and Technology Star".

Speech Title: Research on the key technologies of GNSS multi-dimensional water vapor retrieval

Abstract: Atmospheric water vapor plays an important role in studies of weather and climate changes, and global navigation satellite system (GNSS) is one of the main technologies for water vapor retrieval. This report introduces the basic principle of GNSS water vapor retrieval and key techniques of GNSS two-dimensional and three-dimensional water vapor retrieval. In the 2-d water vapor retrieval, a high-time resolution PWV data sets at specific points based on non-measured meteorological parameters is generated, and a high spatial resolution PWV retrieval method is then proposed. In the 3-d water vapor retrieval, a non-uniform symmetrical horizontal grid division method is first proposed for water vapor tomography. In addition, the water vapor tomography model is established considering the GNSS signals penetrating from the side face of research area, and a horizontal parameterized method for water vapor tomography is developed. Tomography model resolution considering the optimal weight ratio of the input information is proposed and an improved ridge estimation method is used. Finally, the influence of station density and multi-GNSS data on water vapor tomography is analyzed.