Potential of dynamic features derived from temporally dense Sentinel-1/2 imagery for improved floodplain wetland mapping
Xiyuan Xiong,
Shuchen Yu,
Lunche Wang,
Xihui Gu,
Wen Xiao,
Yao Du,
Qiuhua He,
Lan Feng,
Zengliang Luo,
Qian Cao,
Liu Yang,
Zhitong Wang,
Hubei Key Laboratory of Regional Ecology and Environmental Change,
State Key Laboratory of Geomicrobiology and Environmental Changes,
School of Geography and Information Engineering,
China University of Geosciences,
National Engineering Research Center of Geographic Information System,
School of Geography and Information Engineering,
China University of Geosciences,
Hunan Key Laboratory of Remote Sensing of Ecological Environment in Dongting Lake Area,
Hunan Natural Resources Affairs Center,
Ministry of Education,
Key Laboratory of Groundwater Quality and Health ,
China University of Geosciences,
State Environmental Protection Key Laboratory of Source Apportionment and Control of Aquatic Pollution,
China University of Geosciences,
School of Environmental Studies,
State Key Laboratory of Geomicrobiology and Environmental Changes,
China University of Geosciences,
Observation and Research Station of Lengshuijiang Mining Ecological Environmental Monitoring,
Ministry of Natural Resources,
Hunan Center of Natural Resources Affairs
Progress in Physical Geography: An International Review of Geographical Work in the Natural and Environmental Sciences
Published online on March 10, 2026
Progress in Physical Geography: Earth and Environment, Ahead of Print.
Floodplain wetlands are dynamic and vulnerable ecosystems, requiring accurate and detailed spatial information for sustainable management and conservation. Multi-source and multi-temporal remote sensing data have been commonly used to address ...