Yu-Long Guo
Nanjing Normal University
17 Papers
46 Citations
Yu-Long Guo is an academic researcher from Nanjing Normal University. The author has contributed to research in topics: Environmental science & Mean squared error. The author has an hindex of 6, co-authored 12 publications. Previous affiliations of Yu-Long Guo include Henan Agricultural University.
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Papers
Estimation of total phosphorus concentration using a water classification method in inland water
Chenggong Du,Chenggong Du,Qiao Wang,Yunmei Li,Yunmei Li,Heng Lyu,Heng Lyu,Li Zhu,Zhubin Zheng,Zhubin Zheng,Shuang Wen,Shuang Wen,Ge Liu,Yu-Long Guo +13 more
TL;DR: Improved the accuracy of TP inversion by combining the new classification algorithm with DRF, which is significant for the development of class-based water quality parameter inversion algorithms for water color remote sensing.
86
Using Remote Sensing to Track Variation in Phosphorus and Its Interaction With Chlorophyll-a and Suspended Sediment
Changchun Huang,Yu-Long Guo,Hao Yang,Yunmei Li,Jun Zou,Mingli Zhang,Heng Lyu,A-Xing Zhu,Tao Huang +8 more
TL;DR: A method to simplify regionally empirical algorithms for total suspended matter (CTSM), chlorophyll-a (CChl-a), and phosphorus concentration (Cp) for the Geostationary Ocean Color Imager (GOCI) for Taihu Lake is proposed and indicates that phosphorus released from sediment resuspension is significant inTaihu Lake, with a high spatial-temporal variation.
29
Tracing high time-resolution fluctuations in dissolved organic carbon using satellite and buoy observations: Case study in Lake Taihu, China
Changchun Huang,Changchun Huang,Li Yunmei,Ge Liu,Yu-Long Guo,Hao Yang,A-Xing Zhu,A-Xing Zhu,Ting Song,Tao Huang,Mingli Zhang,Kun Shi +11 more
TL;DR: A regional, empirical red-blue algorithm to retrieve surface DOC from Geostationary Ocean Color Imager (GOCI) data for Lake Taihu, China confirms that the highest DOC concentration is in northwest LakeTaihu, followed by Meiliang Bay, Gonghu Bay and northeast Lake Taimu.
20
An Inversion-Based Fusion Method for Inland Water Remote Monitoring
TL;DR: An inversion-based fusion (IBF) algorithm is proposed to fuse water color and high-spatial resolution images and chlorophyll-a concentration maps are developed, indicating that the IBF algorithm has the potential to advance the monitoring of optical complex inland water.
16
The Use of Remote Sensing to Quantitatively Assess the Visual Effect of Urban Landscape - A Case Study of Zhengzhou, China
TL;DR: A quantitative evaluation and remote sensing estimation scheme of landscape visual effect and the Elo rating system are built and applied to Landsat remote sensing image to generate the spatial distribution of landscapeVisual effect in Zhengzhou city, 2017.