Team leader and title: Zheng Xiaoshen (Professor)

Team member and title: Li Wei (Associate Professor) , Li Xiumei(lecturer) , Li Jiaxing (lecturer) , Li Zhao (lecturer)

Team Profile:

The Marine Remote Sensing and information technology team, driven by technological innovation and aimed at serving the society, conducts research on the acquisition, analysis, application and management of remote sensing data and information. In view of the major problems of the coastal marine environment and the terrestrial ecological environment, and guided by the regional needs of the coastal marine environment of Tianjin and the ecological environment of the Binhai New Area, in the area of remote sensing data processing and visualization, the mechanism of red tide in Bohai Sea was analyzed and predicted using the water color satellite data, the chlorophyll concentration inversion algorithm was discussed, and the dynamic factors of the marine environment in China's coastal waters were visualized In-situ observation and remote sensing analysis of the optical characteristics of atmospheric aerosols, the propagation paths of dust aerosols are discussed.In the areas of remote sensing image interpretation and the development and application of geographic information systems (GIS) , land resources satellite data were used for environmental change and land use, urban planning, and coastline extraction analysis in the Binhai New Area, in cooperation with related enterprises and institutions in Binhai New Area, the construction of the spatial vector database, the design and development of the electronic map of Binhai New Area, and the construction of the comprehensive information GIS database of enterprises in Binhai New Area were completed, provided scientific and technological services to the Tianjin and Binhai new areas. In recent years, the team has participated in more than 10 national and provincial-level projects, more than 20 horizontal scientific research projects, published more than 80 papers, access to more than 10 software copyright.

Results:

Representative projects:

(1) Tianjin natural science foundation surface project “Study on seasonal variation of aerosol optical properties and its model in Bohai Sea Coastal Area”(project number: 19JCYBJC23600) , from April 2019.4 to April 2022.4;

(2) the project of the Natural Science Foundation of the Tianjin Science and technology commission, “Research on the inversion algorithm of chlorophyll concentration in Bohai Bay based on Goci Data”(project number: 14JCYBJC10500) , from 2014.4 to 2017.4;

(3) Tianjin Science and Technology Commission key natural science foundation project “Using multi-source information to study the mechanism of red tide disaster in Bohai Sea”(project number: 09JCZDJC25400) , from 2009.4 to 2012.4;

(4) the state key basic research and development Program 973“Study on the model of jellyfish disaster outbreak mechanism and ecological effects”(project number: 2011CB403606) , from January 2011.01 to August 2015.08;

(5) Research and demonstration of key technologies for ecological restoration of typical coastal sections and important estuaries in the Bohai Sea Coastal Zone (project number: 2010BAC68B04) , from January 2010.1 to December 2012.12;

Representative Papers:

(1) Ye Qiai, Zheng Xiaoshen (*), Zhao Shangyu. Remote sensing monitoring and path analysis of extreme dust events in northern China in 2021[ J ] . Journal of Remote Sensing, 2023,27(08) : 1821-1833;

(2) Ye, Q. ; Zheng, X (*) . Distribution, Transport, and Impact on Air Quality of Two Typical Dust Events in China in 2021. Atmosphere, 2023,14,432. Https://doi.org/10.3390/atmos14030432;

(3) Tian Ziying, Zheng Xiaoshen (*) . Aerosol type analysis based on AERONET data at typical stations [ J ] . Journal of Environmental Science, 2021,41(10) : 4238-4246.

(4) Wei Li, Kun Zhang, Songli xu.et al. Annual observation and analysis of aerosol optical properties in Tianjin Coastland [ J ] . Marine Science Bulletin, 2016,18(02) : 28-40.

(5) Li Jiaxing, Wei Hao, Zhang Zhihua, Lu Youyu. A modelling study of inter-annual variation of Kuroshiointrusion on the shelf of East China Sea. Journal of Ocean University of China, 2013,12(4) : 537-548.

Copyright of representative software:

(1) visualization and early-warning software for population density in urban hot spots V1.0, China, 2024SR0599455[p] , 2024.05.06;

(2) Collection Management System Software V1.0, China, 2024SR0277061[P] , 2024.02.19;

(3) Ocean Technology Textbook Exchange APP V1.0,2022SR0443885[p] , 2022.04.08;

(4) MapObjects-based Intelligent Transportation Information System Software V1.0, China, 2019SR0447860[P] , 2019.5.09;

(5) Aerosol optical properties retrieval software V1.0 based on GOCI data, China, 2017SR490820[P] , 2017.09.05;