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南海海洋研究所 [5]
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南京地理与湖泊研究所 [3]
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Random forest: An optimal chlorophyll-a algorithm for optically complex inland water suffering atmospheric correction uncertainties
期刊论文
JOURNAL OF HYDROLOGY, 2022, 卷号: 615
作者:
Shen, Ming
;
Luo, Juhua
;
Cao, Zhigang
;
Xue, Kun
;
Qi, Tianci
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/12/19
Long-term remote tracking the dynamics of surface water turbidity using a density peaks -based classification: A case study in the Three Gorges Reservoir, China
期刊论文
ECOLOGICAL INDICATORS, 2020, 卷号: 116, 页码: 10
作者:
Zhou, Botian
;
Shang, Mingsheng
;
Feng, Li
;
Shan, Kun
;
Feng, Lei
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2020/08/24
Surface water turbidity
Remote sensing
Density peaks
Water optical classification
Long-term trend
Three Gorges Reservoir
Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2020, 卷号: 240
作者:
Pahlevan, Nima
;
Smith, Brandon
;
Schalles, John
;
Binding, Caren
;
Cao, Zhigang
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2021/11/15
A Secchi Depth Algorithm Considering the Residual Error in Satellite Remote Sensing Reflectance Data
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 页码: 1948
作者:
Chen, J
;
Han, QJ
;
Chen, YL
;
Li, YD
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  |  
浏览/下载:17/0
  |  
提交时间:2019/11/19
china eastern coastal zone
optically complex water
remote sensing
Secchi depth
trophic state index
Comparison of Machine Learning Algorithms for Retrieval of Water Quality Indicators in Case-II Waters: A Case Study of Hong Kong
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 6, 页码: 617
作者:
Hafeez, Sidrah
;
Wong, Man Sing
;
Ho, Hung Chak
;
Nazeer, Majid
;
Nichol, Janet
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  |  
浏览/下载:63/0
  |  
提交时间:2019/09/09
Chlorophyll-a
turbidity
suspended solids
machine learning
Landsat
Chlorophyll-a Concentration Retrieval in the Optically Complex Waters of the St. Lawrence Estuary and Gulf Using Principal Component Analysis
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 2
作者:
Laliberte, Julien
;
Larouche, Pierre
;
Devred, Emmanuel
;
Craig, Susanne
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/03/13
chlorophyll-a concentration
satellite remote sensing reflectance
St
Lawrence Estuary and Gulf
empirical orthogonal function analysis
coastal ocean
ocean colour
Chlorophyll-a Concentration Retrieval in the Optically Complex Waters of the St. Lawrence Estuary and Gulf Using Principal Component Analysis
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 2
作者:
Laliberte, Julien
;
Larouche, Pierre
;
Devred, Emmanuel
;
Craig, Susanne
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/08/19
chlorophyll-a concentration
satellite remote sensing reflectance
St
Lawrence Estuary and Gulf
empirical orthogonal function analysis
coastal ocean
ocean colour
Determination of phytoplankton abundances (Chlorophyll-a) in the optically complex inland water - The Baltic Sea
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 卷号: 601, 页码: 1060-1074
作者:
Muller, Jan-Peter
;
Karlson, Bengt
;
Kronsell, Johan
;
Zhang, Daoxi
;
Lavender, Samantha
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  |  
浏览/下载:15/0
  |  
提交时间:2018/12/29
Satellite remote sensing
Phytoplankton abundances
Chlorophyll-a
MERIS
Baltic Sea
Application of a generalized additive model (GAM) for estimating chlorophyll-a concentration from MODIS data in the Bohai and Yellow Seas, China
期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2017, 卷号: 38, 期号: 3, 页码: 639-661
作者:
Wang, Yueqi
;
Liu, Dongyan
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2017/03/02
Application of a generalized additive model (GAM) for estimating chlorophyll-a concentration from MODIS data in the Bohai and Yellow Seas, China
期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2017, 卷号: 38, 期号: 3, 页码: 639-661
作者:
Wang, Yueqi
;
Liu, Dongyan
;
Tang, DanLing
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2017/03/02
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