flood susceptibility mapping Latest Research Papers

Assessment of flood susceptibility mapping using support vector machine, logistic regression and their ensemble techniques in the Belt and Road region

Geocarto International ◽

10.1080/10106049.2022.2025918 ◽

2022 ◽

pp. 1-40

Author(s):

Jun Liu ◽

Jiyan Wang ◽

Junnan Xiong ◽

Weiming Cheng ◽

Yi Li ◽

...

Keyword(s):

Support Vector Machine ◽

Logistic Regression ◽

Susceptibility Mapping ◽

Support Vector ◽

Flood Susceptibility ◽

Ensemble Techniques ◽

Belt And Road ◽

Flood Susceptibility Mapping ◽

The Belt And Road

Evaluation of machine learning, information theory and multi-criteria decision analysis methods for flood susceptibility mapping under varying spatial scale of analyses

Remote Sensing Applications Society and Environment ◽

10.1016/j.rsase.2021.100686 ◽

2021 ◽

pp. 100686

Author(s):

Subhas Bera ◽

Arup Das ◽

Taraknath Mazumder

Keyword(s):

Machine Learning ◽

Information Theory ◽

Decision Analysis ◽

Spatial Scale ◽

Susceptibility Mapping ◽

Multi Criteria Decision Analysis ◽

Flood Susceptibility ◽

Analysis Methods ◽

Flood Susceptibility Mapping

The Mfoundi Watershed at Yaoundé in the Humid Tropical Zone of Cameroon: A Case Study of Urban Flood Susceptibility Mapping

Earth Systems and Environment ◽

10.1007/s41748-021-00276-9 ◽

2021 ◽

Author(s):

Daouda Nsangou ◽

Amidou Kpoumié ◽

Zakari Mfonka ◽

Sayed M. Bateni ◽

Abdou Nasser Ngouh ◽

...

Keyword(s):

Susceptibility Mapping ◽

Tropical Zone ◽

Urban Flood ◽

Flood Susceptibility ◽

Flood Susceptibility Mapping

Flood susceptibility mapping in Brahmaputra floodplain of Bangladesh using deep boost, deep learning neural network, and artificial neural network

Geocarto International ◽

10.1080/10106049.2021.2005698 ◽

2021 ◽

pp. 1-19

Author(s):

Naser Ahmed ◽

Muhammad Al-Amin Hoque ◽

Alireza Arabameri ◽

Subodh Chandra Pal ◽

Rabin Chakrabortty ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Deep Learning ◽

Susceptibility Mapping ◽

Flood Susceptibility ◽

Artificial Neural ◽

Flood Susceptibility Mapping ◽

Deep Learning Neural Network ◽

Brahmaputra Floodplain

Flood susceptibility mapping using extremely randomized trees for Assam 2020 floods

Ecological Informatics ◽

10.1016/j.ecoinf.2021.101498 ◽

2021 ◽

pp. 101498

Author(s):

Shruti Sachdeva ◽

Bijendra Kumar

Keyword(s):

Susceptibility Mapping ◽

Extremely Randomized Trees ◽

Flood Susceptibility ◽

Flood Susceptibility Mapping

Using Decision Tree J48 Based Machine Learning Algorithm for Flood Susceptibility Mapping: A Case Study in Quang Binh Province, Vietnam

10.1007/978-981-16-7160-9_195 ◽

2021 ◽

pp. 1927-1935

Author(s):

Chinh Luu ◽

Duc-Dam Nguyen ◽

Tran Van Phong ◽

Indra Prakash ◽

Binh Thai Pham

Keyword(s):

Machine Learning ◽

Decision Tree ◽

Learning Algorithm ◽

Susceptibility Mapping ◽

Machine Learning Algorithm ◽

Flood Susceptibility ◽

Flood Susceptibility Mapping

GIS-based flood susceptibility mapping of the lower Bagmati basin in Bihar, using Shannon’s entropy model

Modeling Earth Systems and Environment ◽

10.1007/s40808-021-01283-5 ◽

2021 ◽

Author(s):

Sohidul Islam ◽

Mary Tahir ◽

Shahnaz Parveen

Keyword(s):

Susceptibility Mapping ◽

Shannon’S Entropy ◽

Entropy Model ◽

Shannon's Entropy ◽

Flood Susceptibility ◽

Flood Susceptibility Mapping

Urban Flood Susceptibility Mapping of Kochi Taluk Using Remote Sensing and GIS

10.1109/icecct52121.2021.9616790 ◽

2021 ◽

Author(s):

Shilpa Shreekumar ◽

Dhanya Madhu ◽

Aswani Kumar Akella

Keyword(s):

Remote Sensing ◽

Remote Sensing And Gis ◽

Susceptibility Mapping ◽

Urban Flood ◽

Flood Susceptibility ◽

Flood Susceptibility Mapping

Increasing exposure to floods in China revealed by nighttime light data and flood susceptibility mapping

Environmental Research Letters ◽

10.1088/1748-9326/ac263e ◽

2021 ◽

Author(s):

Jian Fang ◽

Chaoyang Zhang ◽

Jiayi Fang ◽

Muxing Liu ◽

Yibo Luan

Keyword(s):

Susceptibility Mapping ◽

Flood Susceptibility ◽

Nighttime Light Data ◽

Nighttime Light ◽

Flood Susceptibility Mapping

A novel combination of Deep Neural Network and Manta Ray Foraging Optimization for flood susceptibility mapping in Quang Ngai province, Vietnam

Geocarto International ◽

10.1080/10106049.2021.1975832 ◽

2021 ◽

pp. 1-22

Author(s):

Huu Duy Nguyen ◽

Quoc-Huy Nguyen ◽

Quan Vu Viet Du ◽

Thi Ha Thanh Nguyen ◽

Tien Giang Nguyen ◽

...

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Susceptibility Mapping ◽

Flood Susceptibility ◽

Flood Susceptibility Mapping ◽

Manta Ray

flood susceptibility mapping
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Assessment of flood susceptibility mapping using support vector machine, logistic regression and their ensemble techniques in the Belt and Road region

Evaluation of machine learning, information theory and multi-criteria decision analysis methods for flood susceptibility mapping under varying spatial scale of analyses

The Mfoundi Watershed at Yaoundé in the Humid Tropical Zone of Cameroon: A Case Study of Urban Flood Susceptibility Mapping

Flood susceptibility mapping in Brahmaputra floodplain of Bangladesh using deep boost, deep learning neural network, and artificial neural network

Flood susceptibility mapping using extremely randomized trees for Assam 2020 floods

Using Decision Tree J48 Based Machine Learning Algorithm for Flood Susceptibility Mapping: A Case Study in Quang Binh Province, Vietnam

GIS-based flood susceptibility mapping of the lower Bagmati basin in Bihar, using Shannon’s entropy model

Urban Flood Susceptibility Mapping of Kochi Taluk Using Remote Sensing and GIS

Increasing exposure to floods in China revealed by nighttime light data and flood susceptibility mapping

A novel combination of Deep Neural Network and Manta Ray Foraging Optimization for flood susceptibility mapping in Quang Ngai province, Vietnam

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flood susceptibility mappingRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Assessment of flood susceptibility mapping using support vector machine, logistic regression and their ensemble techniques in the Belt and Road region

Evaluation of machine learning, information theory and multi-criteria decision analysis methods for flood susceptibility mapping under varying spatial scale of analyses

The Mfoundi Watershed at Yaoundé in the Humid Tropical Zone of Cameroon: A Case Study of Urban Flood Susceptibility Mapping

Flood susceptibility mapping in Brahmaputra floodplain of Bangladesh using deep boost, deep learning neural network, and artificial neural network

Flood susceptibility mapping using extremely randomized trees for Assam 2020 floods

Using Decision Tree J48 Based Machine Learning Algorithm for Flood Susceptibility Mapping: A Case Study in Quang Binh Province, Vietnam

GIS-based flood susceptibility mapping of the lower Bagmati basin in Bihar, using Shannon’s entropy model

Urban Flood Susceptibility Mapping of Kochi Taluk Using Remote Sensing and GIS

Increasing exposure to floods in China revealed by nighttime light data and flood susceptibility mapping

A novel combination of Deep Neural Network and Manta Ray Foraging Optimization for flood susceptibility mapping in Quang Ngai province, Vietnam

flood susceptibility mapping
Recently Published Documents