Quantification of chlorophyll-a in typical lakes across China using Sentinel-2 MSI imagery with machine learning algorithm
Sijia Li(Chinese Academy of Sciences), Guangyi Mu(Changchun Institute of Technology), Kaishan Song(Liaocheng University), Lili Lyu(Chinese Academy of Sciences), Hui Tao(University of Chinese Academy of Sciences), Shiqi Xu(Chinese Academy of Sciences), Fangfang Chen(Northeast Institute of Geography and Agroecology), Ge Liu(China Meteorological Administration), Yingxin Shang(Chinese Academy of Sciences), Chong Fang(Dalian University of Technology), Yunxia Du(Chinese Academy of Sciences), Shuai Wang(Chinese Academy of Sciences), Zhidan Wen(Chinese Academy of Sciences)
Cited by 178
Related Papers
National wetland mapping in China: A new product resulting from object-based and hierarchical classification of Landsat 8 OLI images
|ISPRS Journal of Photogrammetry and Remote Sensing|2020|408
China's wetlands loss to urban expansion
|Land Degradation and Development|2018|393
Spatial distribution of soil organic carbon and analysis of related factors in croplands of the black soil region, Northeast China
|Agriculture Ecosystems & Environment|2005|365
Mapping global distribution of mangrove forests at 10-m resolution
|Science Bulletin|2023|295
Large greenhouse gases emissions from China's lakes and reservoirs
|Water Research|2018|293