
Inland Water Trophic State Identification using Remote Sensing data and Machine Learning Approach
Author(s) -
Fajar Setiawan,
Dianlu Jiang,
Rossi Hamzah,
B Matsushita
Publication year - 2022
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/1062/1/012033
Subject(s) - trophic level , trophic state index , water quality , environmental science , identification (biology) , support vector machine , computer science , remote sensing , eutrophication , hydrology (agriculture) , ecology , geography , artificial intelligence , engineering , geotechnical engineering , nutrient , biology