2019
DOI: 10.2112/si90-024.1
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Flood Mapping Using Remote Sensing Imagery and Artificial Intelligence Techniques: A Case Study in Brumadinho, Brazil

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Cited by 41 publications
(18 citation statements)
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“…ANN as a mathematical model with the simulation capability and pattern recognition similar to the human brain can be trained by the variables [44]. It deploys a nonlinear…”
Section: Artificial Neural Network (Ann)mentioning
confidence: 99%
“…ANN as a mathematical model with the simulation capability and pattern recognition similar to the human brain can be trained by the variables [44]. It deploys a nonlinear…”
Section: Artificial Neural Network (Ann)mentioning
confidence: 99%
“…The potential of Support Vector Machine (SVM) as a supervised machine learning classifier in deriving the flooded area from Landsat imagery has been studied by Ireland and colleagues [60]. Syifa et al utilized SVM and Artificial Neural Network (ANN) classification techniques to derive the map showing the flooded area after the collapse of Brumadinho dam wall in Brazil during January 2019 [61]. However, the SVM technique can be applied for both classification and regression.…”
Section: Support Vector Machine Regression (Svr)mentioning
confidence: 99%
“…January 2019 [61]. However, the SVM technique can be applied for both classification and regression.…”
Section: Syifa Et Al Utilized Svm and Artificial Neural Network (Annmentioning
confidence: 99%
“…The detection and analysis of the green and golden tides in the Yellow Sea and the East China Sea have been performed (Chen et al, 2019b;Kim et al, 2019a;Liang et al, 2019;Min et al, 2019;Wang et al, 2019) and the detection and prediction of the red tide have been studied (Kim et al, 2019c;Liu et al, 2019;Park et al, 2019a;Shin et al, 2019). And the environmental monitoring studies were also conducted from the OISST, ARGO, MODIS, Landsat, and TerraSAR-X images (Baek and Moon, 2019;Chen et al, 2019a;Eom et al, 2019;Hong et al, 2019;Jeong et al, 2019;Jung et al, 2019;Lee et al, 2019a;Li et al, 2019;Ma et al, 2019;Mu et al, 2019;Sun et al, 2019;Tong et al, 2019;Qing, Hao, and Bao, 2019;Ren et al, 2019b;Xiao, Zhang, and Qin, 2019;Zhang et al, 2019aZhang et al, , 2019b The research topics of the oil spill, typhoon, flood, and nuclear radiation emergent have been carried out by using optical and SAR images (Bing et al, 2019;Jin et al, 2019;Kim and Moon, 2019;Park et al, 2019b;Syifa et al, 2019;Yang et al, 2019). Moreover, the specific topics related to marine spatial planning have been studied (Achmad et al, 2019;Bae et al, 2019;Chu et al, 2019;Chun and Lee, 2019;Jang et al, 2019;Kim et al, 2019...…”
Section: Previous Special Issue Related To Geospatial Research Of Coamentioning
confidence: 99%
“…And the environmental monitoring studies were also conducted from the OISST, ARGO, MODIS, Landsat, and TerraSAR-X images (Baek and Moon, 2019;Chen et al, 2019a;Eom et al, 2019;Hong et al, 2019;Jeong et al, 2019;Jung et al, 2019;Lee et al, 2019a;Li et al, 2019;Ma et al, 2019;Mu et al, 2019;Sun et al, 2019;Tong et al, 2019;Qing, Hao, and Bao, 2019;Ren et al, 2019b;Xiao, Zhang, and Qin, 2019;Zhang et al, 2019aZhang et al, , 2019b The research topics of the oil spill, typhoon, flood, and nuclear radiation emergent have been carried out by using optical and SAR images (Bing et al, 2019;Jin et al, 2019;Kim and Moon, 2019;Park et al, 2019b;Syifa et al, 2019;Yang et al, 2019). Moreover, the specific topics related to marine spatial planning have been studied (Achmad et al, 2019;Bae et al, 2019;Chu et al, 2019;Chun and Lee, 2019;Jang et al, 2019;Kim et al, 2019b;Kim, Baek, and Hwang, 2019;Ko and Lee, 2019;Koo et al, 2019;Lee et al, 2019bLee et al, , 2019cLee et al, , 2019dOh et al, 2019aOh et al, , 2019bPark, 2019;Park et al 2019c;Ren et al, ...…”
Section: Previous Special Issue Related To Geospatial Research Of Coamentioning
confidence: 99%