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Kaishan Song

Showing results (51-60 of 84) with videos related to

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Optics Express|April 27, 2022
Estimation of the lake trophic state index (TSI) using hyperspectral remote sensing in Northeast ChinaLili Lyu, Kaishan Song, Zhidan Wen, et al.
Water Research|October 9, 2018
Large greenhouse gases emissions from China's lakes and reservoirsSiyue Li, Richard T Bush, Isaac R Santos, et al.
Environmental Research|January 6, 2020
Absorption characteristics of CDOM in treated and non-treated urban lakes in Changchun, ChinaLili Lyu, Zhidan Wen, Pierre-Andre Jacinthe, et al.
The Science of the Total Environment|April 24, 2012
Hyperspectral determination of eutrophication for a water supply source via genetic algorithm-partial least squares (GA-PLS) modelingKaishan Song, Lin Li, Lenore P Tedesco, et al.
Journal of Hazardous Materials|April 25, 2026
Monitoring algal blooms in eutrophic inland lakes using OLCI: Overcoming cloud and sun-glint effects on low-quality imageryBingqian Han, Shaojing Wang, Long Fei, et al.
Water Research|January 6, 2023
Remote sensing of fluorescent humification levels and its potential environmental linkages in lakes across ChinaYingxin Shang, Kaishan Song, Fengfa Lai, et al.
Journal of Environmental Management|April 7, 2020
Quantifying total suspended matter (TSM) in waters using Landsat images during 1984-2018 across the Songnen Plain, Northeast ChinaYunxia Du, Kaishan Song, Ge Liu, et al.
Environmental Science and Pollution Research International|December 30, 2017
Phthalate esters in surface water of Songhua River watershed associated with land use types, Northeast ChinaZhidan Wen, Xiaoli Huang, Dawen Gao, et al.
Environmental Research|October 22, 2023
A novel chlorophyll-a retrieval model based on suspended particulate matter classification and different machine learningChong Fang, Changchun Song, Zhidan Wen, et al.
Environmental Monitoring and Assessment|April 29, 2011
Retrieval of total suspended matter (TSM) and chlorophyll-a (Chl-a) concentration from remote-sensing data for drinking water resourcesKaishan Song, Lin Li, Zongming Wang, et al.
Pageof 9

Showing results (51-60 of 84) with videos related to

Sort By:
Pageof 9
Optics Express|April 27, 2022
Estimation of the lake trophic state index (TSI) using hyperspectral remote sensing in Northeast ChinaLili Lyu, Kaishan Song, Zhidan Wen, et al.
Water Research|October 9, 2018
Large greenhouse gases emissions from China's lakes and reservoirsSiyue Li, Richard T Bush, Isaac R Santos, et al.
Environmental Research|January 6, 2020
Absorption characteristics of CDOM in treated and non-treated urban lakes in Changchun, ChinaLili Lyu, Zhidan Wen, Pierre-Andre Jacinthe, et al.
The Science of the Total Environment|April 24, 2012
Hyperspectral determination of eutrophication for a water supply source via genetic algorithm-partial least squares (GA-PLS) modelingKaishan Song, Lin Li, Lenore P Tedesco, et al.
Journal of Hazardous Materials|April 25, 2026
Monitoring algal blooms in eutrophic inland lakes using OLCI: Overcoming cloud and sun-glint effects on low-quality imageryBingqian Han, Shaojing Wang, Long Fei, et al.
Water Research|January 6, 2023
Remote sensing of fluorescent humification levels and its potential environmental linkages in lakes across ChinaYingxin Shang, Kaishan Song, Fengfa Lai, et al.
Journal of Environmental Management|April 7, 2020
Quantifying total suspended matter (TSM) in waters using Landsat images during 1984-2018 across the Songnen Plain, Northeast ChinaYunxia Du, Kaishan Song, Ge Liu, et al.
Environmental Science and Pollution Research International|December 30, 2017
Phthalate esters in surface water of Songhua River watershed associated with land use types, Northeast ChinaZhidan Wen, Xiaoli Huang, Dawen Gao, et al.
Environmental Research|October 22, 2023
A novel chlorophyll-a retrieval model based on suspended particulate matter classification and different machine learningChong Fang, Changchun Song, Zhidan Wen, et al.
Environmental Monitoring and Assessment|April 29, 2011
Retrieval of total suspended matter (TSM) and chlorophyll-a (Chl-a) concentration from remote-sensing data for drinking water resourcesKaishan Song, Lin Li, Zongming Wang, et al.
Pageof 9