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Flood susceptibility zonation map using remote sensing and XGboost, Random Forest, Nearest neighbor models in GIS: a case study Tebessa city, Algeria.

2023-03-31

Abstract excerpt

Predictive mapping of flooding zone occurrence at the regional scale was performed for the urban perimeter of Tebessa City, Algeria, using remote sensing by Landsat to detect the past effect of flood occurrences of the last 10 years and estimate the future potential flood disaster. Machine learning ML was instrumental in predicting the flooding zones of Tebessa City through the utilization of three models: XGboost...

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Literature Corpus work
0fe2fc5d-76c9-5170-956d-898d1374f647
DOI
10.21203/rs.3.rs-2710595/v1
Open publication

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Flood susceptibility zonation map using remote sensing and XGboost, Random Forest, Nearest neighbor models in GIS: a case study Tebessa city, Algeria.DOI 10.21203/rs.3.rs-2710595/v1
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