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Kaishan Song

Showing results (1-10 of 84) with videos related to

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Environmental Monitoring and Assessment|August 3, 2007
Snow-cover environmental monitoring and assessment in Northeast China using passive microwave emission modelsKaishan Song, Yuanzhi Zhang
Sensors (Basel, Switzerland)|August 6, 2020
Wetland Fire Scar Monitoring and Its Response to Changes of the Pantanal WetlandXiaodong Li, Kaishan Song, Ge Liu
Journal of Environmental Management|March 21, 2024
Analysis of taiga and tundra lake browning trends from 2002 to 2021 using MODIS dataZijin Wang, Yingxin Shang, Zuchuan Li, et al.
Water Research|January 26, 2025
Monitoring phycocyanin in global inland waters by remote sensing: Progress and future developmentsChong Fang, Kaishan Song, Zhaojiang Yan, et al.
Environmental Science and Pollution Research International|April 27, 2016
Characterization of CDOM from urban waters in Northern-Northeastern China using excitation-emission matrix fluorescence and parallel factor analysisYing Zhao, Kaishan Song, Sijia Li, et al.
Environmental Monitoring and Assessment|October 24, 2006
Assessment of chlorophyll-a concentration and trophic state for Lake Chagan using Landsat TM and field spectral dataHongtao Duan, Yuanzhi Zhang, Bai Zhang, et al.
Environmental Science and Pollution Research International|July 3, 2017
Influence of environmental factors on absorption characteristics of suspended particulate matter and CDOM in Liaohe River watershed, northeast ChinaTiantian Shao, Hui Zheng, Kaishan Song, et al.
Carbon Balance and Management|June 3, 2026
Assessing and quantifying the saturation effect of forest aboveground biomass mapping using Landsat 8, Sentinel 1/2Zhaohua Liu, Yiru Wang, Sijia Li, et al.
The Science of the Total Environment|August 1, 2012
A semi-analytical algorithm for remote estimation of phycocyanin in inland watersLinhai Li, Lin Li, Kun Shi, et al.
Scientific Reports|April 15, 2025
Maize yield estimation in Northeast China's black soil region using a deep learning model with attention mechanism and remote sensingXingke Li, Yunfeng Lyu, Bingxue Zhu, et al.
Pageof 9

Showing results (1-10 of 84) with videos related to

Sort By:
Pageof 9
Environmental Monitoring and Assessment|August 3, 2007
Snow-cover environmental monitoring and assessment in Northeast China using passive microwave emission modelsKaishan Song, Yuanzhi Zhang
Sensors (Basel, Switzerland)|August 6, 2020
Wetland Fire Scar Monitoring and Its Response to Changes of the Pantanal WetlandXiaodong Li, Kaishan Song, Ge Liu
Journal of Environmental Management|March 21, 2024
Analysis of taiga and tundra lake browning trends from 2002 to 2021 using MODIS dataZijin Wang, Yingxin Shang, Zuchuan Li, et al.
Water Research|January 26, 2025
Monitoring phycocyanin in global inland waters by remote sensing: Progress and future developmentsChong Fang, Kaishan Song, Zhaojiang Yan, et al.
Environmental Science and Pollution Research International|April 27, 2016
Characterization of CDOM from urban waters in Northern-Northeastern China using excitation-emission matrix fluorescence and parallel factor analysisYing Zhao, Kaishan Song, Sijia Li, et al.
Environmental Monitoring and Assessment|October 24, 2006
Assessment of chlorophyll-a concentration and trophic state for Lake Chagan using Landsat TM and field spectral dataHongtao Duan, Yuanzhi Zhang, Bai Zhang, et al.
Environmental Science and Pollution Research International|July 3, 2017
Influence of environmental factors on absorption characteristics of suspended particulate matter and CDOM in Liaohe River watershed, northeast ChinaTiantian Shao, Hui Zheng, Kaishan Song, et al.
Carbon Balance and Management|June 3, 2026
Assessing and quantifying the saturation effect of forest aboveground biomass mapping using Landsat 8, Sentinel 1/2Zhaohua Liu, Yiru Wang, Sijia Li, et al.
The Science of the Total Environment|August 1, 2012
A semi-analytical algorithm for remote estimation of phycocyanin in inland watersLinhai Li, Lin Li, Kun Shi, et al.
Scientific Reports|April 15, 2025
Maize yield estimation in Northeast China's black soil region using a deep learning model with attention mechanism and remote sensingXingke Li, Yunfeng Lyu, Bingxue Zhu, et al.
Pageof 9