Unlock your academic potential and expand your network by joining us!

Dr. Ma Jun

Ministry of Education Key Laboratory for Biodiversity Science and Ecological Eng...

Share Link

Share

Information

Dr. Jun Ma received a PhD in ecology from the Shenyang Institute of Applied Ecology, Chinese Academy of Sciences in 2015. From 2015 to 2017, he engaged in postdoctoral research at the Institute of Biodiversity Science, Fudan University. Since 2017, he has served as a young associate researcher and associate researcher at Fudan University. His research interests are ecological remote sensing and landscape ecology. His research uses methods such as remote sensing, geographic information systems, and ecological models to explore the relationship between landscape pattern dynamics and ecosystem processes at multiple scales. His main focus is on (1) landscape patterns such as forests, cities, farmland, and wetlands under the background of global change., and the relationship between dynamics and ecosystem processes; (2) land use remote sensing classification mapping and the ecological effects of land use changes based on the remote sensing big data platform (GEE); (3) satellite remote sensing and UAV remote sensing (LiDAR, multispectral, Hyperspectral, etc.) estimation of vegetation carbon cycle parameters (biomass, productivity, phenological dynamics).

Research Keywords & Expertise

Land Use
Landscape Ecology
ecological remote sens...
Geographic information...

Short Biography

Dr. Jun Ma received a PhD in ecology from the Shenyang Institute of Applied Ecology, Chinese Academy of Sciences in 2015. From 2015 to 2017, he engaged in postdoctoral research at the Institute of Biodiversity Science, Fudan University. Since 2017, he has served as a young associate researcher and associate researcher at Fudan University. His research interests are ecological remote sensing and landscape ecology. His research uses methods such as remote sensing, geographic information systems, and ecological models to explore the relationship between landscape pattern dynamics and ecosystem processes at multiple scales. His main focus is on (1) landscape patterns such as forests, cities, farmland, and wetlands under the background of global change., and the relationship between dynamics and ecosystem processes; (2) land use remote sensing classification mapping and the ecological effects of land use changes based on the remote sensing big data platform (GEE); (3) satellite remote sensing and UAV remote sensing (LiDAR, multispectral, Hyperspectral, etc.) estimation of vegetation carbon cycle parameters (biomass, productivity, phenological dynamics).