Soil erosion susceptibility assessment using logistic regression, decision tree and random forest: study on the Mayurakshi river basin of Eastern India
出版年份 2021 全文链接
标题
Soil erosion susceptibility assessment using logistic regression, decision tree and random forest: study on the Mayurakshi river basin of Eastern India
作者
关键词
-
出版物
Environmental Earth Sciences
Volume 80, Issue 8, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-04-14
DOI
10.1007/s12665-021-09631-5
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Flood Severity assessment of the coastal tract situated between Muriganga and Saptamukhi estuaries of Sundarban delta of India using Frequency Ratio (FR), Fuzzy Logic (FL), Logistic Regression (LR) and Random Forest (RF) models
- (2021) Abhishek Ghosh et al. Regional Studies in Marine Science
- Assessing the Importance of Static and Dynamic Causative Factors on Erosion Potentiality Using SWAT, EBF with Uncertainty and Plausibility, Logistic Regression and Novel Ensemble Model in a Sub-tropical Environment
- (2020) Rabin Chakrabortty et al. Journal of the Indian Society of Remote Sensing
- Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India
- (2020) Sunil Saha et al. SENSORS
- Predicting the deforestation probability using the binary logistic regression, random forest, ensemble rotational forest, REPTree: A case study at the Gumani River Basin, India
- (2020) Sunil Saha et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Soil erosion assessment using RUSLE model and its validation by FR probability model
- (2019) Amiya Gayen et al. Geocarto International
- A comparison of frequency ratio and fuzzy logic models for flood susceptibility assessment of the lower Kosi River Basin in India
- (2019) Mehebub Sahana et al. Environmental Earth Sciences
- Assessment of the importance of gully erosion effective factors using Boruta algorithm and its spatial modeling and mapping using three machine learning algorithms
- (2019) Mahdis Amiri et al. GEODERMA
- Landslide Susceptibility Mapping Based on Random Forest and Boosted Regression Tree Models, and a Comparison of Their Performance
- (2019) Soyoung Park et al. Applied Sciences-Basel
- Gully erosion susceptibility assessment and management of hazard-prone areas in India using different machine learning algorithms
- (2019) Amiya Gayen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Identification of spatially distributed hotspots for soil loss and erosion potential in mining areas of Upper Damodar Basin – India
- (2019) Shivesh Kishore Karan et al. CATENA
- Identification of soil erosion-susceptible areas using fuzzy logic and analytical hierarchy process modeling in an agricultural watershed of Burdwan district, India
- (2019) Sunil Saha et al. Environmental Earth Sciences
- Spatial flood susceptibility prediction in Middle Ganga Plain: comparison of frequency ratio and Shannon’s entropy models
- (2019) Aman Arora et al. Geocarto International
- Proposing a Novel Predictive Technique for Gully Erosion Susceptibility Mapping in Arid and Semi-arid Regions (Iran)
- (2019) Arabameri et al. Remote Sensing
- Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods
- (2019) Wei Chen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
- (2018) Khabat Khosravi et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Spatial modelling of gully erosion using evidential belief function, logistic regression, and a new ensemble of evidential belief function-logistic regression algorithm
- (2018) Alireza Arabameri et al. LAND DEGRADATION & DEVELOPMENT
- Gully erosion zonation mapping using integrated geographically weighted regression with certainty factor and random forest models in GIS
- (2018) Alireza Arabameri et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Conditional inference trees for knowledge extraction from motor health condition data
- (2017) Alexis Sardá-Espinosa et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques
- (2017) Mahyat Shafapour Tehrany et al. Geomatics Natural Hazards & Risk
- Sediment yield assessment and identification of check dam sites for Rawal Dam catchment
- (2016) Nida Samad et al. Arabian Journal of Geosciences
- Soil erosion assessment using USLE in the GIS environment: a case study in the Danjiangkou Reservoir Region, China
- (2014) Mingyong Zhu Environmental Earth Sciences
- Gully erosion susceptibility assessment by means of GIS-based logistic regression: A case of Sicily (Italy)
- (2013) Christian Conoscenti et al. GEOMORPHOLOGY
- Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS
- (2013) Mahyat Shafapour Tehrany et al. JOURNAL OF HYDROLOGY
- Geomorphology and GIS analysis for mapping gully erosion susceptibility in the Turbolo stream catchment (Northern Calabria, Italy)
- (2010) Massimo Conforti et al. NATURAL HAZARDS
- Classifying the biological condition of small streams: an example using benthic macroinvertebrates
- (2009) Kelly O. Maloney et al. JOURNAL OF THE NORTH AMERICAN BENTHOLOGICAL SOCIETY
- Soil Erosion Assessment in a Hilly Catchment of North Eastern India Using USLE, GIS and Remote Sensing
- (2008) P. P. Dabral et al. WATER RESOURCES MANAGEMENT
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More