%0 Journal Article %1 anand2024machine %A Anand, Vicky %A Oinam, Bakimchandra %A Wieprecht, Silke %D 2024 %I Elsevier %J Ecological informatics %K oa ubs_10002 ubs_20002 ubs_30028 ubs_40042 unibibliografie wos %N December %P 102868 %R 10.1016/j.ecoinf.2024.102868 %T Machine learning approach for water quality predictions based on multispectral satellite imageries %V 84

@article{anand2024machine, added-at = {2025-06-04T16:38:30.000+0200}, affiliation = {Anand, V (Corresponding Author), Univ Stuttgart, Inst Modeling Hydraul \& Environm Syst, Dept Hydraul Engn \& Water Resources Management, Stuttgart, Germany. Anand, Vicky; Oinam, Bakimchandra, Natl Inst Technol, Dept Civil Engn, Imphal, Manipur, India. Anand, Vicky; Wieprecht, Silke, Univ Stuttgart, Inst Modeling Hydraul \& Environm Syst, Dept Hydraul Engn \& Water Resources Management, Stuttgart, Germany.}, affiliations = {National Institute of Technology (NIT System); National Institute of Technology Manipur; University of Stuttgart}, author = {Anand, Vicky and Oinam, Bakimchandra and Wieprecht, Silke}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2f9f7342ea10f7c8046ab461e020890b4/unibiblio}, doi = {10.1016/j.ecoinf.2024.102868}, interhash = {0deab84bb2d67b42b6cfa061f06f58d7}, intrahash = {f9f7342ea10f7c8046ab461e020890b4}, issn = {{1574-9541} and {1878-0512}}, journal = {Ecological informatics}, keywords = {oa ubs_10002 ubs_20002 ubs_30028 ubs_40042 unibibliografie wos}, language = {eng}, number = {December}, pages = 102868, publisher = {Elsevier}, research-areas = {Environmental Sciences \& Ecology}, timestamp = {2025-06-04T16:38:30.000+0200}, title = {Machine learning approach for water quality predictions based on multispectral satellite imageries}, unique-id = {WOS:001350199900001}, volume = 84, year = 2024 }