Your browser doesn't support javascript.
loading
Study on remote sensing inversion and temporal-spatial variation of Hulun lake water quality based on machine learning.
Song, Wei; A, Yinglan; Wang, Yuntao; Fang, Qingqing; Tang, Rong.
Affiliation
  • Song W; College of Water Sciences, Beijing Normal University, Beijing 100875, China.
  • A Y; State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China; Innovation Research Center of Satellite Application, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
  • Wang Y; State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China; Innovation Research Center of Satellite Application, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China. Electronic address: ytwang@bnu.edu.cn.
  • Fang Q; School of Water Conservancy and Hydropower Engineering, North China Electric Power University, Beijing 102206, China.
  • Tang R; China Institute of Water Resources and Hydropower Research, Beijing 100038, China.
J Contam Hydrol ; 260: 104282, 2024 01.
Article in En | MEDLINE | ID: mdl-38101229
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Water Quality Country/Region as subject: Asia Language: En Journal: J Contam Hydrol Journal subject: TOXICOLOGIA Year: 2024 Document type: Article Affiliation country: China Country of publication: Netherlands
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Water Quality Country/Region as subject: Asia Language: En Journal: J Contam Hydrol Journal subject: TOXICOLOGIA Year: 2024 Document type: Article Affiliation country: China Country of publication: Netherlands