Kaishan Song mainly investigates Remote sensing, Wetland, Chlorophyll a, Hydrology and Land use. His work on Total suspended matter as part of general Remote sensing study is frequently linked to Approximation error, bridging the gap between disciplines. His biological study spans a wide range of topics, including Urbanization, Urban expansion and Environmental protection.
His study in Hydrology is interdisciplinary in nature, drawing from both Trophic level, Soil science, Absorption and Trophic state index. In his research, Physical geography, Agriculture and Marsh is intimately related to Fragmentation, which falls under the overarching field of Land use. His Mean squared error research incorporates themes from Phytoplankton, Attenuation coefficient and Regression.
Kaishan Song mostly deals with Remote sensing, Hydrology, Dissolved organic carbon, Colored dissolved organic matter and Environmental chemistry. His Remote sensing study integrates concerns from other disciplines, such as Mean squared error and Reflectivity. He has researched Hydrology in several fields, including Soil science, Land use and Spatial variability.
His Dissolved organic carbon research is multidisciplinary, incorporating elements of Organic matter, Salinity, Brackish water, Carbon cycle and Plateau. His research in Colored dissolved organic matter intersects with topics in Water quality, Absorption, Aquatic ecosystem and Eutrophication. His Environmental chemistry research integrates issues from Spatial distribution and Tributary.
His primary areas of study are Dissolved organic carbon, Environmental chemistry, Colored dissolved organic matter, Carbon cycle and Physical geography. He combines subjects such as Fluorescence spectroscopy, Fluorescence, Spring and Pollutant with his study of Dissolved organic carbon. His Colored dissolved organic matter research is multidisciplinary, relying on both Humus, Salinity, Sewage, Aquatic ecosystem and Eutrophication.
His Eutrophication research is multidisciplinary, incorporating perspectives in Trophic level, Organic matter, Remote sensing and Scale. The various areas that Kaishan Song examines in his Remote sensing study include Absorption and Coefficient of determination. The concepts of his Physical geography study are interwoven with issues in Algal bloom, Climate change, Precipitation, Snow and Water quality.
His scientific interests lie mostly in Environmental chemistry, Physical geography, Carbon cycle, Eutrophication and Wetland. His study focuses on the intersection of Environmental chemistry and fields such as Colored dissolved organic matter with connections in the field of Absorption, Algorithm and Attenuation coefficient. His work carried out in the field of Physical geography brings together such families of science as Algal bloom, Spatial variability, Water quality, Spatial ecology and Plateau.
His work on Trophic state index as part of his general Eutrophication study is frequently connected to Optically active, thereby bridging the divide between different branches of science. His Wetland research includes elements of Urbanization, Urban expansion, Ecosystem and Water resource management. His Bio optical study typically links adjacent topics like Remote sensing.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Spatial distribution of soil organic carbon and analysis of related factors in croplands of the black soil region, Northeast China
Dianwei Liu;Dianwei Liu;Zongming Wang;Bai Zhang;Kaishan Song.
Agriculture, Ecosystems & Environment (2006)
Changes of Land Use and of Ecosystem Service Values in Sanjiang Plain, Northeast China
Zongming Wang;Bai Zhang;Shuqing Zhang;Xiaoyan Li.
Environmental Monitoring and Assessment (2006)
Assessment of chlorophyll-a concentration and trophic state for Lake Chagan using Landsat TM and field spectral data.
Hongtao Duan;Yuanzhi Zhang;Bai Zhang;Kaishan Song.
Environmental Monitoring and Assessment (2007)
Loss and Fragmentation of Marshes in the Sanjiang Plain, Northeast China, 1954–2005
Zongming Wang;Kaishan Song;Wenhong Ma;Chunying Ren.
China's wetlands loss to urban expansion
Dehua Mao;Dehua Mao;Zongming Wang;Jianguo Wu;Jianguo Wu;Bingfang Wu.
Land Degradation & Development (2018)
Remote sensing of freshwater cyanobacteria: An extended IOP Inversion Model of Inland Waters (IIMIW) for partitioning absorption coefficient and estimating phycocyanin
Linhai Li;Lin Li;Kaishan Song;Kaishan Song.
Remote Sensing of Environment (2015)
Remote estimation of chlorophyll-a in turbid inland waters: Three-band model versus GA-PLS model
Kaishan Song;Lin Li;L.P. Tedesco;Shuai Li.
Remote Sensing of Environment (2013)
Shrinkage and fragmentation of grasslands in the West Songnen Plain, China
Zongming Wang;Kaishan Song;Bai Zhang;Dianwei Liu.
Agriculture, Ecosystems & Environment (2009)
An inversion model for deriving inherent optical properties of inland waters: Establishment, validation and application
Linhai Li;Lin Li;Kaishan Song;Yunmei Li.
Remote Sensing of Environment (2013)
Large greenhouse gases emissions from China's lakes and reservoirs.
Siyue Li;Richard T. Bush;Isaac R. Santos;Quanfa Zhang.
Water Research (2018)
Profile was last updated on December 6th, 2021.
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